PLAYSTORE_APPS_ANALYSIS.ipynb

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  {
   "cell_type": "markdown",
   "id": "493443db",
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    "id": "493443db"
   },
   "source": [
    "# PLAY STORE APPS ANALYSIS AND VISUALIZATION"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9ab3c2d",
   "metadata": {},
   "source": [
    "### About the project:\n",
    "\n",
    "In this project, I'd be will be working on a real-world dataset of the google play store, one of the most used applications for downloading android apps. This project aims on cleaning the dataset, analyze the given dataset, and mining informational quality insights. This project also involves visualizing the data to better and easily understand trends and different categories.\n",
    "\n",
    "### Project Description: \n",
    "\n",
    "This project will help one understand how a real-world database is analyzed using SQL, how to get maximum available insights from the dataset, pre-process the data using python for a better upcoming performance, how a structured query language helps us retrieve useful information from the database, and visualize the data with the power bi tool.\n",
    "The Project will consist of 2 modules:\n",
    "\n",
    "- Module 1: Pre-processing, Analyzing data using Python and SQL.\n",
    "- Module 2: Visualizing data using Power bi."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0d97d9c",
   "metadata": {},
   "source": [
    "## Module 1 : Pre-processing, Analyzing data using Python and SQL\n",
    "\n",
    "The first step of this analysis would involve pre-processing the data using python libraries. After this pre-processing also known as data cleaning, the cleaned data would then be further analyzed using MySQL to garner insights based on our research question.\n",
    "\n",
    "In this module, the dataset would be queried using structured query language to gain insights from the database. The problem statements will be listed and solved usind SQL. Different concepts of SQL will be used in this process such as aggregating the data, grouping the data, ordering the data, etc. Module 1 consists of subtasks which are as follows"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5aea1505",
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   "source": [
    "## Task 1 : Pre-processing the data\n",
    "\n",
    "Data Pre-processing is one of the important steps in data analytics because data that is not processed can lead to different unwanted results when the data will be used for further applications. This task includes sub-tasks such as handling null values, deletion or transformation of irrelevant values, datatype transformation, removing duplicates, etc. The tasks to be performed for cleaning the data set are given below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "86297427",
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    "id": "86297427"
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   "source": [
    "# Firstly, we would have to import all the necessary libraries to be utilized\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from numpy import nan\n",
    "from datetime import datetime, timedelta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8bec2c54",
   "metadata": {
    "id": "8bec2c54"
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   "outputs": [],
   "source": [
    "#There are two datasets which we would then import using pandas\n",
    "apps = pd.read_csv(\"playstore_apps.csv\", index_col = 'App')\n",
    "reviews = pd.read_csv(\"playstore_reviews.csv\", index_col = 'App')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7d5f495e",
   "metadata": {
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 10841 entries, Photo Editor & Candy Camera & Grid & ScrapBook to iHoroscope - 2018 Daily Horoscope & Astrology\n",
      "Data columns (total 12 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   Category        10841 non-null  object \n",
      " 1   Rating          9367 non-null   float64\n",
      " 2   Reviews         10840 non-null  float64\n",
      " 3   Size            10841 non-null  object \n",
      " 4   Installs        10840 non-null  float64\n",
      " 5   Type            10840 non-null  object \n",
      " 6   Price           10840 non-null  float64\n",
      " 7   Content Rating  10840 non-null  object \n",
      " 8   Genres          10841 non-null  object \n",
      " 9   Last Updated    10840 non-null  object \n",
      " 10  Current Ver     10833 non-null  object \n",
      " 11  Android Ver     10838 non-null  object \n",
      "dtypes: float64(4), object(8)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "#Lets see the column attributes for apps dataset\n",
    "apps.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "01b468a6",
   "metadata": {
    "colab": {
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    "id": "01b468a6",
    "outputId": "fd2859a9-9c0f-42ca-f822-5f5a4c95d6ed"
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10841, 12)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's find the no of rows and columns in apps dataset\n",
    "apps.shape"
   ]
  },
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   "cell_type": "code",
   "execution_count": 5,
   "id": "07f9cc9d",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>App</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</th>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>159.0</td>\n",
       "      <td>19M</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>07-01-2018</td>\n",
       "      <td>1.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coloring book moana</th>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>3.9</td>\n",
       "      <td>967.0</td>\n",
       "      <td>14M</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>15-01-2018</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>U Launcher Lite – FREE Live Cool Themes, Hide Apps</th>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510.0</td>\n",
       "      <td>8.7M</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>01-08-2018</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
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       "      <th>Sketch - Draw &amp; Paint</th>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644.0</td>\n",
       "      <td>25M</td>\n",
       "      <td>50000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>08-06-2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pixel Draw - Number Art Coloring Book</th>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967.0</td>\n",
       "      <td>2.8M</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>20-06-2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "                                                          Category  Rating  \\\n",
       "App                                                                          \n",
       "Photo Editor & Candy Camera & Grid & ScrapBook      ART_AND_DESIGN     4.1   \n",
       "Coloring book moana                                 ART_AND_DESIGN     3.9   \n",
       "U Launcher Lite – FREE Live Cool Themes, Hide Apps  ART_AND_DESIGN     4.7   \n",
       "Sketch - Draw & Paint                               ART_AND_DESIGN     4.5   \n",
       "Pixel Draw - Number Art Coloring Book               ART_AND_DESIGN     4.3   \n",
       "\n",
       "                                                     Reviews  Size  \\\n",
       "App                                                                  \n",
       "Photo Editor & Candy Camera & Grid & ScrapBook         159.0   19M   \n",
       "Coloring book moana                                    967.0   14M   \n",
       "U Launcher Lite – FREE Live Cool Themes, Hide Apps   87510.0  8.7M   \n",
       "Sketch - Draw & Paint                               215644.0   25M   \n",
       "Pixel Draw - Number Art Coloring Book                  967.0  2.8M   \n",
       "\n",
       "                                                      Installs  Type  Price  \\\n",
       "App                                                                           \n",
       "Photo Editor & Candy Camera & Grid & ScrapBook         10000.0  Free    0.0   \n",
       "Coloring book moana                                   500000.0  Free    0.0   \n",
       "U Launcher Lite – FREE Live Cool Themes, Hide Apps   5000000.0  Free    0.0   \n",
       "Sketch - Draw & Paint                               50000000.0  Free    0.0   \n",
       "Pixel Draw - Number Art Coloring Book                 100000.0  Free    0.0   \n",
       "\n",
       "                                                   Content Rating  \\\n",
       "App                                                                 \n",
       "Photo Editor & Candy Camera & Grid & ScrapBook           Everyone   \n",
       "Coloring book moana                                      Everyone   \n",
       "U Launcher Lite – FREE Live Cool Themes, Hide Apps       Everyone   \n",
       "Sketch - Draw & Paint                                        Teen   \n",
       "Pixel Draw - Number Art Coloring Book                    Everyone   \n",
       "\n",
       "                                                                       Genres  \\\n",
       "App                                                                             \n",
       "Photo Editor & Candy Camera & Grid & ScrapBook                   Art & Design   \n",
       "Coloring book moana                                 Art & Design;Pretend Play   \n",
       "U Launcher Lite – FREE Live Cool Themes, Hide Apps               Art & Design   \n",
       "Sketch - Draw & Paint                                            Art & Design   \n",
       "Pixel Draw - Number Art Coloring Book                 Art & Design;Creativity   \n",
       "\n",
       "                                                   Last Updated  \\\n",
       "App                                                               \n",
       "Photo Editor & Candy Camera & Grid & ScrapBook       07-01-2018   \n",
       "Coloring book moana                                  15-01-2018   \n",
       "U Launcher Lite – FREE Live Cool Themes, Hide Apps   01-08-2018   \n",
       "Sketch - Draw & Paint                                08-06-2018   \n",
       "Pixel Draw - Number Art Coloring Book                20-06-2018   \n",
       "\n",
       "                                                           Current Ver  \\\n",
       "App                                                                      \n",
       "Photo Editor & Candy Camera & Grid & ScrapBook                   1.0.0   \n",
       "Coloring book moana                                              2.0.0   \n",
       "U Launcher Lite – FREE Live Cool Themes, Hide Apps               1.2.4   \n",
       "Sketch - Draw & Paint                               Varies with device   \n",
       "Pixel Draw - Number Art Coloring Book                              1.1   \n",
       "\n",
       "                                                     Android Ver  \n",
       "App                                                               \n",
       "Photo Editor & Candy Camera & Grid & ScrapBook      4.0.3 and up  \n",
       "Coloring book moana                                 4.0.3 and up  \n",
       "U Launcher Lite – FREE Live Cool Themes, Hide Apps  4.0.3 and up  \n",
       "Sketch - Draw & Paint                                 4.2 and up  \n",
       "Pixel Draw - Number Art Coloring Book                 4.4 and up  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's view the first 5 rows of the apps dataset\n",
    "apps.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d1a9c3d3",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "d1a9c3d3",
    "outputId": "04660f59-a942-4d9a-aa33-e46306f10788",
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    10349\n",
       "True       492\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apps.duplicated().value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5c2641f",
   "metadata": {},
   "source": [
    "### Findings on `apps` dataset\n",
    "\n",
    "1. Data contains 10841 rows and 12 columns \n",
    "2. When importing the datasets the `App` column was used as the index column.\n",
    "3. The `apps` dataset contains 492 duplicates rows and 10349 unique rows.\n",
    "4. `Last Updated` column has a object datatype.\n",
    "5. `Rating`,`Current Ver`, `Andriod Ver` `Type` columns contains missing values\n",
    "6. Some columns contains irrelevant values that must be cleaned or removed."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0f02f54",
   "metadata": {
    "id": "f0f02f54"
   },
   "source": [
    "### Subtask 1 : Removing Duplicate Rows\n",
    "\n",
    "We have established that 492 columns in the apps dataset contains duplicate rows. We would then attempt to remove those duplicate rows from our apps dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "30978919",
   "metadata": {
    "id": "30978919"
   },
   "outputs": [],
   "source": [
    "# Drop all duplicate rows that appears more than once in 'apps' dataset while retaining its first row \n",
    "apps.drop_duplicates(keep='first', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ce8dff02",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ce8dff02",
    "outputId": "d4e7690d-2be7-469e-d4e6-1b2cf7ad6267",
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 10349 entries, Photo Editor & Candy Camera & Grid & ScrapBook to iHoroscope - 2018 Daily Horoscope & Astrology\n",
      "Data columns (total 12 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   Category        10349 non-null  object \n",
      " 1   Rating          8891 non-null   float64\n",
      " 2   Reviews         10348 non-null  float64\n",
      " 3   Size            10349 non-null  object \n",
      " 4   Installs        10348 non-null  float64\n",
      " 5   Type            10348 non-null  object \n",
      " 6   Price           10348 non-null  float64\n",
      " 7   Content Rating  10348 non-null  object \n",
      " 8   Genres          10349 non-null  object \n",
      " 9   Last Updated    10348 non-null  object \n",
      " 10  Current Ver     10341 non-null  object \n",
      " 11  Android Ver     10346 non-null  object \n",
      "dtypes: float64(4), object(8)\n",
      "memory usage: 1.0+ MB\n"
     ]
    }
   ],
   "source": [
    "#Check to make sure duplicates rows were dropped\n",
    "apps.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f028beb4",
   "metadata": {
    "id": "f028beb4"
   },
   "source": [
    "### SubTask 2: Remove Irrelevant values from each column if any\n",
    "\n",
    "We would check each column to ascertain attributes that are irrelevant and must be removed from the dataset.\n",
    "\n",
    "We would start by checking the unique attributes for each column so as to source for irregularities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "27e719b5",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "27e719b5",
    "outputId": "03f0ee7e-af20-43cb-e843-1e7b394c9d66",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['ART_AND_DESIGN', 'AUTO_AND_VEHICLES', 'BEAUTY',\n",
       "       'BOOKS_AND_REFERENCE', 'BUSINESS', 'COMICS', 'COMMUNICATION',\n",
       "       'DATING', 'EDUCATION', 'ENTERTAINMENT', 'EVENTS', 'FINANCE',\n",
       "       'FOOD_AND_DRINK', 'HEALTH_AND_FITNESS', 'HOUSE_AND_HOME',\n",
       "       'LIBRARIES_AND_DEMO', 'LIFESTYLE', 'GAME', 'FAMILY', 'MEDICAL',\n",
       "       'SOCIAL', 'SHOPPING', 'PHOTOGRAPHY', 'SPORTS', 'TRAVEL_AND_LOCAL',\n",
       "       'TOOLS', 'PERSONALIZATION', 'PRODUCTIVITY', 'PARENTING', 'WEATHER',\n",
       "       'VIDEO_PLAYERS', 'NEWS_AND_MAGAZINES', 'MAPS_AND_NAVIGATION',\n",
       "       '1.9'], dtype=object)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apps['Category'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72938dfd",
   "metadata": {
    "id": "72938dfd"
   },
   "source": [
    "The `category` column loos okay except the 1.9 attribute as seen above which is not a google playstore category and thus we would attempt to remove the row entry containing the category of '1.9'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "52ad5bdb",
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       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>App</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>Life Made WI-Fi Touchscreen Photo Frame</th>\n",
       "      <td>1.9</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>February 11, 2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Category  Rating  Reviews    Size  \\\n",
       "App                                                                         \n",
       "Life Made WI-Fi Touchscreen Photo Frame      1.9    19.0      NaN  1,000+   \n",
       "\n",
       "                                         Installs Type  Price Content Rating  \\\n",
       "App                                                                            \n",
       "Life Made WI-Fi Touchscreen Photo Frame       NaN    0    NaN            NaN   \n",
       "\n",
       "                                                    Genres Last Updated  \\\n",
       "App                                                                       \n",
       "Life Made WI-Fi Touchscreen Photo Frame  February 11, 2018          NaN   \n",
       "\n",
       "                                        Current Ver Android Ver  \n",
       "App                                                              \n",
       "Life Made WI-Fi Touchscreen Photo Frame  4.0 and up         NaN  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Check the row that contains the category of 1.9\n",
    "apps[apps['Category'] == '1.9']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2491b6e8",
   "metadata": {
    "id": "2491b6e8"
   },
   "outputs": [],
   "source": [
    "# only one row (row 10472) contain the category of 1.9 and that row should be removed form our dataset since its not needed.\n",
    "\n",
    "apps.drop('Life Made WI-Fi Touchscreen Photo Frame', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3dc4eb56",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "3dc4eb56",
    "outputId": "029e370a-daca-46f1-d740-9c1334933d91"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['ART_AND_DESIGN', 'AUTO_AND_VEHICLES', 'BEAUTY',\n",
       "       'BOOKS_AND_REFERENCE', 'BUSINESS', 'COMICS', 'COMMUNICATION',\n",
       "       'DATING', 'EDUCATION', 'ENTERTAINMENT', 'EVENTS', 'FINANCE',\n",
       "       'FOOD_AND_DRINK', 'HEALTH_AND_FITNESS', 'HOUSE_AND_HOME',\n",
       "       'LIBRARIES_AND_DEMO', 'LIFESTYLE', 'GAME', 'FAMILY', 'MEDICAL',\n",
       "       'SOCIAL', 'SHOPPING', 'PHOTOGRAPHY', 'SPORTS', 'TRAVEL_AND_LOCAL',\n",
       "       'TOOLS', 'PERSONALIZATION', 'PRODUCTIVITY', 'PARENTING', 'WEATHER',\n",
       "       'VIDEO_PLAYERS', 'NEWS_AND_MAGAZINES', 'MAPS_AND_NAVIGATION'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check to make sure the category of 1.9 was removed.\n",
    "\n",
    "apps['Category'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "166fcefe",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "166fcefe",
    "outputId": "8be54cc5-4b95-4e43-eba9-eb114ba0c0ca",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([4.1, 3.9, 4.7, 4.5, 4.3, 4.4, 3.8, 4.2, 4.6, 3.2, 4. , nan, 4.8,\n",
       "       4.9, 3.6, 3.7, 3.3, 3.4, 3.5, 3.1, 5. , 2.6, 3. , 1.9, 2.5, 2.8,\n",
       "       2.7, 1. , 2.9, 2.3, 2.2, 1.7, 2. , 1.8, 2.4, 1.6, 2.1, 1.4, 1.5,\n",
       "       1.2])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the distinct attributes of `Rating` column\n",
    "apps['Rating'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "go-LTdQnZGp7",
   "metadata": {
    "id": "go-LTdQnZGp7"
   },
   "source": [
    "The Rating column contains missing values. Since the Ratings for each app is a numerical value, these missing values will be replaced with 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5UiRyWF_V4w_",
   "metadata": {
    "id": "5UiRyWF_V4w_"
   },
   "outputs": [],
   "source": [
    "#replace all nan values with 0\n",
    "apps['Rating'] = apps['Rating'].fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "VZtEMD4TXz2L",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "VZtEMD4TXz2L",
    "outputId": "bcc0b893-ff46-416a-bbc2-df3040a8bcde"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([4.1, 3.9, 4.7, 4.5, 4.3, 4.4, 3.8, 4.2, 4.6, 3.2, 4. , 0. , 4.8,\n",
       "       4.9, 3.6, 3.7, 3.3, 3.4, 3.5, 3.1, 5. , 2.6, 3. , 1.9, 2.5, 2.8,\n",
       "       2.7, 1. , 2.9, 2.3, 2.2, 1.7, 2. , 1.8, 2.4, 1.6, 2.1, 1.4, 1.5,\n",
       "       1.2])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the Rating column to confirm that missing nan rows have been filled with 0\n",
    "apps['Rating'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "JJNJwaSwZV9M",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "JJNJwaSwZV9M",
    "outputId": "161f5915-cbc2-4c87-cdbb-0b81ad6cf058"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.59000e+02, 9.67000e+02, 8.75100e+04, ..., 6.03000e+02,\n",
       "       1.19500e+03, 3.98307e+05])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the distinct attributes of `Reviews` column\n",
    "apps['Reviews'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "-lsEwZhoZXSe",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "-lsEwZhoZXSe",
    "outputId": "97f33a53-d37f-4b65-fd9b-f7b2859cd37d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['19M', '14M', '8.7M', '25M', '2.8M', '5.6M', '29M', '33M', '3.1M',\n",
       "       '28M', '12M', '20M', '21M', '37M', '2.7M', '5.5M', '17M', '39M',\n",
       "       '31M', '4.2M', '7.0M', '23M', '6.0M', '6.1M', '4.6M', '9.2M',\n",
       "       '5.2M', '11M', '24M', 'Varies with device', '9.4M', '15M', '10M',\n",
       "       '1.2M', '26M', '8.0M', '7.9M', '56M', '57M', '35M', '54M', '201k',\n",
       "       '3.6M', '5.7M', '8.6M', '2.4M', '27M', '2.5M', '16M', '3.4M',\n",
       "       '8.9M', '3.9M', '2.9M', '38M', '32M', '5.4M', '18M', '1.1M',\n",
       "       '2.2M', '4.5M', '9.8M', '52M', '9.0M', '6.7M', '30M', '2.6M',\n",
       "       '7.1M', '3.7M', '22M', '7.4M', '6.4M', '3.2M', '8.2M', '9.9M',\n",
       "       '4.9M', '9.5M', '5.0M', '5.9M', '13M', '73M', '6.8M', '3.5M',\n",
       "       '4.0M', '2.3M', '7.2M', '2.1M', '42M', '7.3M', '9.1M', '55M',\n",
       "       '23k', '6.5M', '1.5M', '7.5M', '51M', '41M', '48M', '8.5M', '46M',\n",
       "       '8.3M', '4.3M', '4.7M', '3.3M', '40M', '7.8M', '8.8M', '6.6M',\n",
       "       '5.1M', '61M', '66M', '79k', '8.4M', '118k', '44M', '695k', '1.6M',\n",
       "       '6.2M', '18k', '53M', '1.4M', '3.0M', '5.8M', '3.8M', '9.6M',\n",
       "       '45M', '63M', '49M', '77M', '4.4M', '4.8M', '70M', '6.9M', '9.3M',\n",
       "       '10.0M', '8.1M', '36M', '84M', '97M', '2.0M', '1.9M', '1.8M',\n",
       "       '5.3M', '47M', '556k', '526k', '76M', '7.6M', '59M', '9.7M', '78M',\n",
       "       '72M', '43M', '7.7M', '6.3M', '334k', '34M', '93M', '65M', '79M',\n",
       "       '100M', '58M', '50M', '68M', '64M', '67M', '60M', '94M', '232k',\n",
       "       '99M', '624k', '95M', '8.5k', '41k', '292k', '11k', '80M', '1.7M',\n",
       "       '74M', '62M', '69M', '75M', '98M', '85M', '82M', '96M', '87M',\n",
       "       '71M', '86M', '91M', '81M', '92M', '83M', '88M', '704k', '862k',\n",
       "       '899k', '378k', '266k', '375k', '1.3M', '975k', '980k', '4.1M',\n",
       "       '89M', '696k', '544k', '525k', '920k', '779k', '853k', '720k',\n",
       "       '713k', '772k', '318k', '58k', '241k', '196k', '857k', '51k',\n",
       "       '953k', '865k', '251k', '930k', '540k', '313k', '746k', '203k',\n",
       "       '26k', '314k', '239k', '371k', '220k', '730k', '756k', '91k',\n",
       "       '293k', '17k', '74k', '14k', '317k', '78k', '924k', '902k', '818k',\n",
       "       '81k', '939k', '169k', '45k', '475k', '965k', '90M', '545k', '61k',\n",
       "       '283k', '655k', '714k', '93k', '872k', '121k', '322k', '1.0M',\n",
       "       '976k', '172k', '238k', '549k', '206k', '954k', '444k', '717k',\n",
       "       '210k', '609k', '308k', '705k', '306k', '904k', '473k', '175k',\n",
       "       '350k', '383k', '454k', '421k', '70k', '812k', '442k', '842k',\n",
       "       '417k', '412k', '459k', '478k', '335k', '782k', '721k', '430k',\n",
       "       '429k', '192k', '200k', '460k', '728k', '496k', '816k', '414k',\n",
       "       '506k', '887k', '613k', '243k', '569k', '778k', '683k', '592k',\n",
       "       '319k', '186k', '840k', '647k', '191k', '373k', '437k', '598k',\n",
       "       '716k', '585k', '982k', '222k', '219k', '55k', '948k', '323k',\n",
       "       '691k', '511k', '951k', '963k', '25k', '554k', '351k', '27k',\n",
       "       '82k', '208k', '913k', '514k', '551k', '29k', '103k', '898k',\n",
       "       '743k', '116k', '153k', '209k', '353k', '499k', '173k', '597k',\n",
       "       '809k', '122k', '411k', '400k', '801k', '787k', '237k', '50k',\n",
       "       '643k', '986k', '97k', '516k', '837k', '780k', '961k', '269k',\n",
       "       '20k', '498k', '600k', '749k', '642k', '881k', '72k', '656k',\n",
       "       '601k', '221k', '228k', '108k', '940k', '176k', '33k', '663k',\n",
       "       '34k', '942k', '259k', '164k', '458k', '245k', '629k', '28k',\n",
       "       '288k', '775k', '785k', '636k', '916k', '994k', '309k', '485k',\n",
       "       '914k', '903k', '608k', '500k', '54k', '562k', '847k', '957k',\n",
       "       '688k', '811k', '270k', '48k', '329k', '523k', '921k', '874k',\n",
       "       '981k', '784k', '280k', '24k', '518k', '754k', '892k', '154k',\n",
       "       '860k', '364k', '387k', '626k', '161k', '879k', '39k', '970k',\n",
       "       '170k', '141k', '160k', '144k', '143k', '190k', '376k', '193k',\n",
       "       '246k', '73k', '658k', '992k', '253k', '420k', '404k', '470k',\n",
       "       '226k', '240k', '89k', '234k', '257k', '861k', '467k', '157k',\n",
       "       '44k', '676k', '67k', '552k', '885k', '1020k', '582k', '619k'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the distinct attributes of `Size` column\n",
    "apps['Size'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "wSltMs6MZX6J",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "wSltMs6MZX6J",
    "outputId": "c46f7a48-a44e-48dc-8935-c4e9f5f96819"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.e+04, 5.e+05, 5.e+06, 5.e+07, 1.e+05, 5.e+04, 1.e+06, 1.e+07,\n",
       "       5.e+03, 1.e+08, 1.e+09, 1.e+03, 5.e+08, 5.e+01, 1.e+02, 5.e+02,\n",
       "       1.e+01, 1.e+00, 5.e+00, 0.e+00])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the distinct attributes of `Installs` column\n",
    "apps['Installs'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "gNb-OfVCZYD9",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "gNb-OfVCZYD9",
    "outputId": "39a72f9e-8542-4181-b972-7136add86cf2"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  0.  ,   4.99,   3.99,   6.99,   1.49,   2.99,   7.99,   5.99,\n",
       "         3.49,   1.99,   9.99,   7.49,   0.99,   9.  ,   5.49,  10.  ,\n",
       "        24.99,  11.99,  79.99,  16.99,  14.99,   1.  ,  29.99,  12.99,\n",
       "         2.49,  10.99,   1.5 ,  19.99,  15.99,  33.99,  74.99,  39.99,\n",
       "         3.95,   4.49,   1.7 ,   8.99,   2.  ,   3.88,  25.99, 399.99,\n",
       "        17.99, 400.  ,   3.02,   1.76,   4.84,   4.77,   1.61,   2.5 ,\n",
       "         1.59,   6.49,   1.29,   5.  ,  13.99, 299.99, 379.99,  37.99,\n",
       "        18.99, 389.99,  19.9 ,   8.49,   1.75,  14.  ,   4.85,  46.99,\n",
       "       109.99, 154.99,   3.08,   2.59,   4.8 ,   1.96,  19.4 ,   3.9 ,\n",
       "         4.59,  15.46,   3.04,   4.29,   2.6 ,   3.28,   4.6 ,  28.99,\n",
       "         2.95,   2.9 ,   1.97, 200.  ,  89.99,   2.56,  30.99,   3.61,\n",
       "       394.99,   1.26,   1.2 ,   1.04])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the distinct attributes of `Price` column\n",
    "apps['Price'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e43sEgS7ZYOP",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "e43sEgS7ZYOP",
    "outputId": "44ac1072-41ff-4c58-d7d3-a24311aed91a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Art & Design', 'Art & Design;Pretend Play',\n",
       "       'Art & Design;Creativity', 'Art & Design;Action & Adventure',\n",
       "       'Auto & Vehicles', 'Beauty', 'Books & Reference', 'Business',\n",
       "       'Comics', 'Comics;Creativity', 'Communication', 'Dating',\n",
       "       'Education;Education', 'Education', 'Education;Creativity',\n",
       "       'Education;Music & Video', 'Education;Action & Adventure',\n",
       "       'Education;Pretend Play', 'Education;Brain Games', 'Entertainment',\n",
       "       'Entertainment;Music & Video', 'Entertainment;Brain Games',\n",
       "       'Entertainment;Creativity', 'Events', 'Finance', 'Food & Drink',\n",
       "       'Health & Fitness', 'House & Home', 'Libraries & Demo',\n",
       "       'Lifestyle', 'Lifestyle;Pretend Play',\n",
       "       'Adventure;Action & Adventure', 'Arcade', 'Casual', 'Card',\n",
       "       'Casual;Pretend Play', 'Action', 'Strategy', 'Puzzle', 'Sports',\n",
       "       'Music', 'Word', 'Racing', 'Casual;Creativity',\n",
       "       'Casual;Action & Adventure', 'Simulation', 'Adventure', 'Board',\n",
       "       'Trivia', 'Role Playing', 'Simulation;Education',\n",
       "       'Action;Action & Adventure', 'Casual;Brain Games',\n",
       "       'Simulation;Action & Adventure', 'Educational;Creativity',\n",
       "       'Puzzle;Brain Games', 'Educational;Education', 'Card;Brain Games',\n",
       "       'Educational;Brain Games', 'Educational;Pretend Play',\n",
       "       'Entertainment;Education', 'Casual;Education',\n",
       "       'Music;Music & Video', 'Racing;Action & Adventure',\n",
       "       'Arcade;Pretend Play', 'Role Playing;Action & Adventure',\n",
       "       'Simulation;Pretend Play', 'Puzzle;Creativity',\n",
       "       'Sports;Action & Adventure', 'Educational;Action & Adventure',\n",
       "       'Arcade;Action & Adventure', 'Entertainment;Action & Adventure',\n",
       "       'Puzzle;Action & Adventure', 'Strategy;Action & Adventure',\n",
       "       'Music & Audio;Music & Video', 'Health & Fitness;Education',\n",
       "       'Adventure;Education', 'Board;Brain Games',\n",
       "       'Board;Action & Adventure', 'Board;Pretend Play',\n",
       "       'Casual;Music & Video', 'Role Playing;Pretend Play',\n",
       "       'Entertainment;Pretend Play', 'Video Players & Editors;Creativity',\n",
       "       'Card;Action & Adventure', 'Medical', 'Social', 'Shopping',\n",
       "       'Photography', 'Travel & Local',\n",
       "       'Travel & Local;Action & Adventure', 'Tools', 'Tools;Education',\n",
       "       'Personalization', 'Productivity', 'Parenting',\n",
       "       'Parenting;Music & Video', 'Parenting;Education',\n",
       "       'Parenting;Brain Games', 'Weather', 'Video Players & Editors',\n",
       "       'Video Players & Editors;Music & Video', 'News & Magazines',\n",
       "       'Maps & Navigation', 'Health & Fitness;Action & Adventure',\n",
       "       'Educational', 'Casino', 'Adventure;Brain Games',\n",
       "       'Trivia;Education', 'Lifestyle;Education',\n",
       "       'Books & Reference;Creativity', 'Books & Reference;Education',\n",
       "       'Puzzle;Education', 'Role Playing;Education',\n",
       "       'Role Playing;Brain Games', 'Strategy;Education',\n",
       "       'Racing;Pretend Play', 'Communication;Creativity',\n",
       "       'Strategy;Creativity'], dtype=object)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the distinct attributes of `Genres` column\n",
    "apps['Genres'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "QeT5lfw6ZYbm",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 462
    },
    "id": "QeT5lfw6ZYbm",
    "outputId": "39ec5493-9339-4e3d-ee00-4b104b970332"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>App</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Learn To Draw Kawaii Characters</th>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>3.2</td>\n",
       "      <td>55.0</td>\n",
       "      <td>2.7M</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>06-06-2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Market Update Helper</th>\n",
       "      <td>LIBRARIES_AND_DEMO</td>\n",
       "      <td>4.1</td>\n",
       "      <td>20145.0</td>\n",
       "      <td>11k</td>\n",
       "      <td>1000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Libraries &amp; Demo</td>\n",
       "      <td>12-02-2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.5 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virtual DJ Sound Mixer</th>\n",
       "      <td>TOOLS</td>\n",
       "      <td>4.2</td>\n",
       "      <td>4010.0</td>\n",
       "      <td>8.7M</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Tools</td>\n",
       "      <td>10-05-2017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BT Master</th>\n",
       "      <td>FAMILY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>222k</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>06-11-2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.6 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dots puzzle</th>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>14M</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>0.99</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Puzzle</td>\n",
       "      <td>18-04-2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Calculate My IQ</th>\n",
       "      <td>FAMILY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>7.2M</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Entertainment</td>\n",
       "      <td>03-04-2017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UFO-CQ</th>\n",
       "      <td>TOOLS</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>237k</td>\n",
       "      <td>10.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>0.99</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Tools</td>\n",
       "      <td>04-07-2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>La Fe de Jesus</th>\n",
       "      <td>BOOKS_AND_REFERENCE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>658k</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Books &amp; Reference</td>\n",
       "      <td>31-01-2017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0 and up</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Category  Rating  Reviews  Size  \\\n",
       "App                                                                           \n",
       "Learn To Draw Kawaii Characters       ART_AND_DESIGN     3.2     55.0  2.7M   \n",
       "Market Update Helper              LIBRARIES_AND_DEMO     4.1  20145.0   11k   \n",
       "Virtual DJ Sound Mixer                         TOOLS     4.2   4010.0  8.7M   \n",
       "BT Master                                     FAMILY     0.0      0.0  222k   \n",
       "Dots puzzle                                   FAMILY     4.0    179.0   14M   \n",
       "Calculate My IQ                               FAMILY     0.0     44.0  7.2M   \n",
       "UFO-CQ                                         TOOLS     0.0      1.0  237k   \n",
       "La Fe de Jesus                   BOOKS_AND_REFERENCE     0.0      8.0  658k   \n",
       "\n",
       "                                  Installs  Type  Price Content Rating  \\\n",
       "App                                                                      \n",
       "Learn To Draw Kawaii Characters     5000.0  Free   0.00       Everyone   \n",
       "Market Update Helper             1000000.0  Free   0.00       Everyone   \n",
       "Virtual DJ Sound Mixer            500000.0  Free   0.00       Everyone   \n",
       "BT Master                            100.0  Free   0.00       Everyone   \n",
       "Dots puzzle                        50000.0  Paid   0.99       Everyone   \n",
       "Calculate My IQ                    10000.0  Free   0.00       Everyone   \n",
       "UFO-CQ                                10.0  Paid   0.99       Everyone   \n",
       "La Fe de Jesus                      1000.0  Free   0.00       Everyone   \n",
       "\n",
       "                                            Genres Last Updated Current Ver  \\\n",
       "App                                                                           \n",
       "Learn To Draw Kawaii Characters       Art & Design   06-06-2018         NaN   \n",
       "Market Update Helper              Libraries & Demo   12-02-2013         NaN   \n",
       "Virtual DJ Sound Mixer                       Tools   10-05-2017         NaN   \n",
       "BT Master                                Education   06-11-2016         NaN   \n",
       "Dots puzzle                                 Puzzle   18-04-2018         NaN   \n",
       "Calculate My IQ                      Entertainment   03-04-2017         NaN   \n",
       "UFO-CQ                                       Tools   04-07-2016         NaN   \n",
       "La Fe de Jesus                   Books & Reference   31-01-2017         NaN   \n",
       "\n",
       "                                Android Ver  \n",
       "App                                          \n",
       "Learn To Draw Kawaii Characters  4.2 and up  \n",
       "Market Update Helper             1.5 and up  \n",
       "Virtual DJ Sound Mixer           4.0 and up  \n",
       "BT Master                        1.6 and up  \n",
       "Dots puzzle                      4.0 and up  \n",
       "Calculate My IQ                  2.3 and up  \n",
       "UFO-CQ                           2.0 and up  \n",
       "La Fe de Jesus                   3.0 and up  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the `Current Ver` column for null values\n",
    "apps[apps['Current Ver'].isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "845yOZ8oscwh",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "845yOZ8oscwh",
    "outputId": "60aa28cd-45db-4e8b-fa4b-5514d500655b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    10340\n",
       "True         8\n",
       "Name: Current Ver, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the count of null values in `Current Ver` column\n",
    "apps['Current Ver'].isna().value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ZrVkeADejmQe",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ZrVkeADejmQe",
    "outputId": "68ec2ade-2b62-480e-c943-55c91daf79ac"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    10346\n",
       "True         2\n",
       "Name: Android Ver, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the count of null values in `Andriod Ver` column\n",
    "apps['Android Ver'].isna().value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "-EgFpkUokNcQ",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "-EgFpkUokNcQ",
    "outputId": "5816ecf0-9831-430c-9f89-a0ed0c9e99a4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['4.0.3 and up', '4.2 and up', '4.4 and up', '2.3 and up',\n",
       "       '3.0 and up', '4.1 and up', '4.0 and up', '2.3.3 and up',\n",
       "       'Varies with device', '2.2 and up', '5.0 and up', '6.0 and up',\n",
       "       '1.6 and up', '1.5 and up', '2.1 and up', '7.0 and up',\n",
       "       '5.1 and up', '4.3 and up', '4.0.3 - 7.1.1', '2.0 and up',\n",
       "       '3.2 and up', '4.4W and up', '7.1 and up', '7.0 - 7.1.1',\n",
       "       '8.0 and up', '5.0 - 8.0', '3.1 and up', '2.0.1 and up',\n",
       "       '4.1 - 7.1.1', nan, '5.0 - 6.0', '1.0 and up', '2.2 - 7.1.1',\n",
       "       '5.0 - 7.1.1'], dtype=object)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the distinct attributes of `Andriod Ver` column\n",
    "apps['Android Ver'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "KLxdKJuVsEbu",
   "metadata": {
    "id": "KLxdKJuVsEbu"
   },
   "outputs": [],
   "source": [
    "# Drop null values in `Andriod Ver` column\n",
    "apps.dropna(subset=['Android Ver'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "242ce9da",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "242ce9da",
    "outputId": "c6302242-dba8-4ef8-8109-ff996133561b",
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Everyone', 'Teen', 'Everyone 10+', 'Mature 17+',\n",
       "       'Adults only 18+', 'Unrated'], dtype=object)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the distinct attributes of `Content Rating` column\n",
    "apps['Content Rating'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "0e32067c",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "0e32067c",
    "outputId": "229bf7b8-4f9d-49aa-ca77-459b588dd10d",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Free', 'Paid', nan], dtype=object)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for unique column attributes\n",
    "apps['Type'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "89d70500",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop rows with missing values in `Type` column\n",
    "apps.dropna(subset=['Type'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa1dceea",
   "metadata": {
    "id": "aa1dceea"
   },
   "source": [
    "#### Check\n",
    "\n",
    "Let's confirm that the nan row has been removed from the `Type` column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "54df593d",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "54df593d",
    "outputId": "d43aa08c-d213-4525-ab4f-81788f03b1aa"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Free', 'Paid'], dtype=object)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "apps['Type'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5334ca40",
   "metadata": {
    "id": "5334ca40"
   },
   "source": [
    "#### Next is to check for incorrect datatype in column attributes. The `Last Updated` column has a datatype of object and must be changed to a datatype of datetime to reflect the date attributes in it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "a691b0bc",
   "metadata": {
    "id": "a691b0bc"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-08-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-07-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-10-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-02-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-07-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-08-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-08-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-06-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-04-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-07-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-07-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-09-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-09-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-06-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-07-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-03-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-03-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-05-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-10-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-01-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-06-2011' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-09-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-09-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-04-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-08-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-02-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-10-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-02-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-06-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-11-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-08-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-05-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-11-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-10-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-11-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-08-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-05-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-07-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-10-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-01-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-03-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-01-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-02-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-07-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-07-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-10-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-07-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-11-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-11-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-04-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-04-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-06-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-09-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-03-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-02-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-10-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-05-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-08-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-07-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-09-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-05-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-11-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-01-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-05-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-11-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-05-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-10-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-06-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-01-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-08-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-05-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-02-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-12-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-09-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-03-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-02-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-09-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-04-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-09-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-11-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-08-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-02-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-08-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-09-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-05-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-09-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-02-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-12-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-01-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-11-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-07-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-11-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-10-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-07-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-07-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-08-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-12-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-09-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-09-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-04-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-05-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-11-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-01-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-12-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-12-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-01-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-06-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-01-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-12-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-11-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-11-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-03-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-09-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-02-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-04-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-02-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-06-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-02-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-02-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-05-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-08-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-08-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-07-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-10-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-02-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-09-2011' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-09-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-07-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-07-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-01-2018' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-09-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-07-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-10-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-10-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-11-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-11-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-02-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-08-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-10-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-06-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-04-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-08-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-11-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-09-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-09-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-02-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-08-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-02-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-01-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-09-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-06-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-03-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-02-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-06-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-09-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-10-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-10-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-11-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-11-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-09-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-03-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-04-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-03-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-03-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-04-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-07-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-02-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-07-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-03-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-08-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-09-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-02-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-04-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-09-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-08-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-04-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-12-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-08-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-10-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-02-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-05-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-05-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-03-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-06-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-09-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-03-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-06-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-10-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-05-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-01-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-08-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-09-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-08-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-04-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-06-2011' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-07-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-06-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-02-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-08-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-08-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-02-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-03-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-11-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-01-2011' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-03-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-07-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-10-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-05-2010' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-05-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-05-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-02-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-01-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-02-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-06-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-06-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-10-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-10-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-01-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-10-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-01-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-07-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-05-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-07-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-01-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-02-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-02-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-08-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '14-11-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-07-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-04-2011' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-09-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-08-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-05-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-12-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-02-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-09-2011' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-06-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-06-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-01-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-08-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-02-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-01-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-02-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-10-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-06-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-09-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-11-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-06-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-02-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-01-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-03-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-10-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-03-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-07-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-11-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-01-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-10-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-05-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-02-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-08-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-11-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-06-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-04-2011' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-11-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-12-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-12-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-12-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-05-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-12-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-03-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-12-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-05-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-04-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-05-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-03-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-01-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-09-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-08-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-11-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-05-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-04-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-10-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-04-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-11-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-07-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '29-08-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-12-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-02-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-04-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '22-12-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-08-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-12-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-07-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-08-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-07-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '21-08-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-06-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '28-08-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-05-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '24-09-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-01-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-06-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-01-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-09-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-03-2011' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-06-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-01-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-06-2011' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-04-2017' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '15-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-05-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '30-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-01-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '13-01-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '31-07-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-08-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-08-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '26-12-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-11-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-11-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '17-06-2012' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '27-02-2015' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '18-12-2013' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '25-11-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '19-05-2016' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '20-01-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '16-02-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n",
      "C:\\Users\\HP\\anaconda3\\lib\\site-packages\\pandas\\core\\tools\\datetimes.py:1047: UserWarning: Parsing '23-03-2014' in DD/MM/YYYY format. Provide format or specify infer_datetime_format=True for consistent parsing.\n",
      "  cache_array = _maybe_cache(arg, format, cache, convert_listlike)\n"
     ]
    }
   ],
   "source": [
    "# Change datatype of `Last Updated` column to datetime\n",
    "\n",
    "apps['Last Updated'] = pd.to_datetime(apps['Last Updated'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "966c5637",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "966c5637",
    "outputId": "4fc64cce-a0fc-4c73-d00c-d20a793f571f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 10345 entries, Photo Editor & Candy Camera & Grid & ScrapBook to iHoroscope - 2018 Daily Horoscope & Astrology\n",
      "Data columns (total 12 columns):\n",
      " #   Column          Non-Null Count  Dtype         \n",
      "---  ------          --------------  -----         \n",
      " 0   Category        10345 non-null  object        \n",
      " 1   Rating          10345 non-null  float64       \n",
      " 2   Reviews         10345 non-null  float64       \n",
      " 3   Size            10345 non-null  object        \n",
      " 4   Installs        10345 non-null  float64       \n",
      " 5   Type            10345 non-null  object        \n",
      " 6   Price           10345 non-null  float64       \n",
      " 7   Content Rating  10345 non-null  object        \n",
      " 8   Genres          10345 non-null  object        \n",
      " 9   Last Updated    10345 non-null  datetime64[ns]\n",
      " 10  Current Ver     10337 non-null  object        \n",
      " 11  Android Ver     10345 non-null  object        \n",
      "dtypes: datetime64[ns](1), float64(4), object(7)\n",
      "memory usage: 1.0+ MB\n"
     ]
    }
   ],
   "source": [
    "# Let's check that all changes made are reflected in every column.\n",
    "apps.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3ae5e65",
   "metadata": {},
   "source": [
    "### Summary of Data Cleaning on `Apps` Dataset\n",
    "\n",
    "1. Removed all duplicate rows in the apps dataset.\n",
    "2. Removed 1no. row containing '1.9' in the `Category` variable.\n",
    "3. Replaced all missing values in `Rating` variable with 0.\n",
    "4. Removed all rows containing missing values in `Andriod Ver` variable.\n",
    "5. Removed all rows containing missing values in `Type` variable.\n",
    "6. Changed the datatype of `Last Updated` variable to datetime."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ea28eb0",
   "metadata": {},
   "source": [
    "From the above assessment, it can be seen that the `app` dataset still contains missing values in the `Current Ver` columns which will be addressed in the next stage of our analysis using Microsoft Excel. All missing values in the `Current Ver` column will be replaced with NaN."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b7fbe11",
   "metadata": {
    "id": "7b7fbe11"
   },
   "source": [
    "#### Now we can export our `apps` dataset to csv file for further assessment/analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "74c96174",
   "metadata": {
    "id": "74c96174"
   },
   "outputs": [],
   "source": [
    "apps.to_csv('cleaned_apps_v2.csv', encoding = 'utf=8')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08383f61",
   "metadata": {},
   "source": [
    "### Data Preparation\n",
    "\n",
    "The following data preparation processes was carried out on the cleaned apps dataset after exporting the cleaned apps dataset to csv.\n",
    "\n",
    "1. Replaced all missing values in the `Current Ver` variable with NaN (Carried out on Microsoft Excel)\n",
    "2. Cleaned the apps columns for special characters and irrelevant app names.\n",
    "\n",
    " After data preparation, the cleaned apps dataset was found to contain 9766 rows and 13 variables\n",
    " \n",
    " This cleaned apps dataset can now be analyzed to gain insight using MySQL and visualized using Power BI."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7d184fb",
   "metadata": {
    "id": "c7d184fb"
   },
   "source": [
    "## Pre-processing on the `review` dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7a7c4a1",
   "metadata": {
    "id": "d7a7c4a1"
   },
   "source": [
    "Lets programmatically view the reviews dataset to get familiar with its properties."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "47f6af2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(64295, 4)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for dataet dimensions\n",
    "reviews.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b31274ff",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "b31274ff",
    "outputId": "0c152247-d7b1-4db8-efa1-f49d5255db5b",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 64295 entries, 10 Best Foods for You to Houzz Interior Design Ideas\n",
      "Data columns (total 4 columns):\n",
      " #   Column                  Non-Null Count  Dtype  \n",
      "---  ------                  --------------  -----  \n",
      " 0   Translated_Review       37427 non-null  object \n",
      " 1   Sentiment               37432 non-null  object \n",
      " 2   Sentiment_Polarity      37432 non-null  float64\n",
      " 3   Sentiment_Subjectivity  37432 non-null  float64\n",
      "dtypes: float64(2), object(2)\n",
      "memory usage: 2.5+ MB\n"
     ]
    }
   ],
   "source": [
    "# Lets see the column attributes for reviews dataset\n",
    "reviews.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "b50e04e6",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 394
    },
    "id": "b50e04e6",
    "outputId": "62a54a04-2b29-4ee1-8fa9-aee0e929534d"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Translated_Review</th>\n",
       "      <th>Sentiment</th>\n",
       "      <th>Sentiment_Polarity</th>\n",
       "      <th>Sentiment_Subjectivity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>App</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10 Best Foods for You</th>\n",
       "      <td>I like eat delicious food. That's I'm cooking ...</td>\n",
       "      <td>Positive</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.533333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10 Best Foods for You</th>\n",
       "      <td>This help eating healthy exercise regular basis</td>\n",
       "      <td>Positive</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.288462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10 Best Foods for You</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10 Best Foods for You</th>\n",
       "      <td>Works great especially going grocery store</td>\n",
       "      <td>Positive</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10 Best Foods for You</th>\n",
       "      <td>Best idea us</td>\n",
       "      <td>Positive</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10 Best Foods for You</th>\n",
       "      <td>Best way</td>\n",
       "      <td>Positive</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10 Best Foods for You</th>\n",
       "      <td>Amazing</td>\n",
       "      <td>Positive</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10 Best Foods for You</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10 Best Foods for You</th>\n",
       "      <td>Looking forward app,</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10 Best Foods for You</th>\n",
       "      <td>It helpful site ! It help foods get !</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                       Translated_Review  \\\n",
       "App                                                                        \n",
       "10 Best Foods for You  I like eat delicious food. That's I'm cooking ...   \n",
       "10 Best Foods for You    This help eating healthy exercise regular basis   \n",
       "10 Best Foods for You                                                NaN   \n",
       "10 Best Foods for You         Works great especially going grocery store   \n",
       "10 Best Foods for You                                       Best idea us   \n",
       "10 Best Foods for You                                           Best way   \n",
       "10 Best Foods for You                                            Amazing   \n",
       "10 Best Foods for You                                                NaN   \n",
       "10 Best Foods for You                               Looking forward app,   \n",
       "10 Best Foods for You              It helpful site ! It help foods get !   \n",
       "\n",
       "                      Sentiment  Sentiment_Polarity  Sentiment_Subjectivity  \n",
       "App                                                                          \n",
       "10 Best Foods for You  Positive                1.00                0.533333  \n",
       "10 Best Foods for You  Positive                0.25                0.288462  \n",
       "10 Best Foods for You       NaN                 NaN                     NaN  \n",
       "10 Best Foods for You  Positive                0.40                0.875000  \n",
       "10 Best Foods for You  Positive                1.00                0.300000  \n",
       "10 Best Foods for You  Positive                1.00                0.300000  \n",
       "10 Best Foods for You  Positive                0.60                0.900000  \n",
       "10 Best Foods for You       NaN                 NaN                     NaN  \n",
       "10 Best Foods for You   Neutral                0.00                0.000000  \n",
       "10 Best Foods for You   Neutral                0.00                0.000000  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check dataset to view the first 10 rows\n",
    "reviews.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "653e55d6",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "653e55d6",
    "outputId": "08170a2d-2ad3-4838-d9f2-c2145589c1fa",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    37427\n",
       "True     26868\n",
       "Name: Translated_Review, dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for missing values in the `Translated_Review` column\n",
    "reviews['Translated_Review'].isna().value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a91c698f",
   "metadata": {},
   "source": [
    "### Summary of finding on `reviews` dataset\n",
    "\n",
    "1. `reviews` dataset contains 64295 rows and 4 variables\n",
    "2. The dataset contains a lot of missing values for different reviews records\n",
    "3. The `App` column was used as the index column\n",
    "\n",
    "#### Sub-task - Drop all rows with missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "hzLmVKr2li9G",
   "metadata": {
    "id": "hzLmVKr2li9G"
   },
   "outputs": [],
   "source": [
    "# Drop all missing values in the reviews dataaset\n",
    "reviews.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9295fae",
   "metadata": {},
   "source": [
    "We could observed that the `reviews` dataset had 26868 null values in its `Translated_Review` column. Therefore all rows with null values in the `Translated_Review` column was deleted as there is no translated reviews present and as such that kind of data is of no use for our analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1b673f7",
   "metadata": {},
   "source": [
    "#### Check\n",
    "\n",
    "Check to make sure all missing values in the reviews dataset was dropped."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "_urz2CtYqUZs",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "_urz2CtYqUZs",
    "outputId": "56acfac4-8059-416c-8d0e-0ca2fab6537f"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    37427\n",
       "Name: Translated_Review, dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for any remaining missing values in `Transalated_Reviews` column\n",
    "reviews['Translated_Review'].isna().value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "WuJs3nZt_Jwr",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "WuJs3nZt_Jwr",
    "outputId": "3bb477cf-1d4a-47f4-f7b6-d44d530f9663",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    27994\n",
       "True      9433\n",
       "dtype: int64"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for duplicates \n",
    "reviews.duplicated().value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "5a21f0a9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 37427 entries, 10 Best Foods for You to Housing-Real Estate & Property\n",
      "Data columns (total 4 columns):\n",
      " #   Column                  Non-Null Count  Dtype  \n",
      "---  ------                  --------------  -----  \n",
      " 0   Translated_Review       37427 non-null  object \n",
      " 1   Sentiment               37427 non-null  object \n",
      " 2   Sentiment_Polarity      37427 non-null  float64\n",
      " 3   Sentiment_Subjectivity  37427 non-null  float64\n",
      "dtypes: float64(2), object(2)\n",
      "memory usage: 1.4+ MB\n"
     ]
    }
   ],
   "source": [
    "# Check dataset to confirm that all data cleaning has reflected.\n",
    "reviews.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "238d849c",
   "metadata": {},
   "source": [
    "_Duplicate records in the reviews dataset would not be dropped as all reviews records will be useful for further analysis_"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59b265a7",
   "metadata": {
    "id": "W3ZEhmCu6zFR"
   },
   "source": [
    "### Summary of Data Cleaning on `reviews` dataset\n",
    "\n",
    "1. All rows containing missing values were dropped from the dataset.\n",
    "2. After dropping missing values the dataset now contains 37427 rows of data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "324cbac2",
   "metadata": {},
   "source": [
    "The reviews dataset will now be exported as a csv file for further analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "dcc4b606",
   "metadata": {
    "id": "d28b48b8"
   },
   "outputs": [],
   "source": [
    "reviews.to_csv('cleaned_reviews_v2.csv', encoding = 'utf=8')"
   ]
  }
 ],
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