MatPlotLib.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplot by IQRA Learnings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Noor Mohammed Sadiq Shaik"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### These are the questions rises when we think about the data visualization\n",
    "* **What is Data Visualization..?**\n",
    "* **Why should we Visualize the data**\n",
    "* **What are the different libraries in python to visualize the data**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. **Data Visualization** Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.\n",
    "2. **Data visualization** can also Identify areas that need attention or improvement. Clarify which factors influence customer behavior. Help you understand which products to place where. Predict sales volumes.\n",
    "3. Useful Python Data Visualization Libraries for Any Discipline \n",
    "    1. **matplotlib**. Despite being over a decade old, it's still the most widely used library ... \n",
    "    2. **Seaborn**. Seaborn harnesses the power of matplotlib to create beautiful charts in a few lines ... \n",
    "    3. **ggplot**. For instance, you can start with axes, then add points, then a line, a trendline, etc."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### In this tutorial we will work on MatPlotLib \n",
    "#### Why we Choose Matplot..?\n",
    "* **Provides a Module called Pyplot**\n",
    "* **Simple Functions used for visualization**\n",
    "* **supports easy wise variety of graphics**\n",
    "* **easy integration with Pandas & NumPy**\n",
    "* **Provides an Object Oriented API**\n",
    "### How to import it -----> import matplotlib.pyplot as (Variable_Name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Types of plots we are going to discuss in matplotlib\n",
    "1. **Line Plot**\n",
    "2. **Bar Graph Plot**\n",
    "3. **Scatter Plot**\n",
    "4. **Histogram Plot**\n",
    "5. **Pi Plot**\n",
    "6. **Doughnut Plot**\n",
    "7. **Box Plot**\n",
    "8. **Violin Plot**\n",
    "9. **Area Plot**\n",
    "And Many More..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Drawing Line Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Line Plotting\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x=np.arange(1,10,0.1)\n",
    "y=2*x+5\n",
    "\n",
    "plt.plot(x,y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=np.arange(1,10,0.1)\n",
    "y=2*x+5\n",
    "plt.plot(x,y,color='r')\n",
    "plt.title('Linear Plot')\n",
    "plt.xlabel('x-axis')\n",
    "plt.ylabel('y-axis')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Drawing Sub-Line Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=np.arange(1,10,0.1)\n",
    "y=2*x+5\n",
    "z=3*x+10\n",
    "\n",
    "plt.subplot(1,2,1)\n",
    "plt.plot(x,y)\n",
    "\n",
    "\n",
    "plt.subplot(1,2,2)\n",
    "plt.plot(x,z)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bar Graph Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(['Banana', 'Orange', 'Mango', 'Apple'], [30, 50, 70, 100])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Bar Plotting\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "fruits = {'Banana':30,'Orange':50,'Mango':70,'Apple':100}\n",
    "names = list(fruits.keys())\n",
    "price = list(fruits.values())\n",
    "names,price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(names,price)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(names,price)\n",
    "plt.title('Market prices of Fruits')    # Adds Title For Plot\n",
    "plt.xlabel('Friuts')                    # Labels the graph axis\n",
    "plt.ylabel('Prices')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.bar(names,price,color='yellow')    # Uses to Change the color of the plot\n",
    "plt.title('Market prices of Fruits')\n",
    "plt.xlabel('Friuts')\n",
    "plt.ylabel('Prices')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(names,price,color='orange')\n",
    "plt.title('Market prices of Fruits')\n",
    "plt.xlabel('Friuts')\n",
    "plt.ylabel('Prices')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Horizontal Bar Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# horizontal Plotting\n",
    "plt.barh(names,price,color='green')\n",
    "plt.title('Market prices of Fruits')\n",
    "plt.xlabel('Friuts')\n",
    "plt.ylabel('Prices')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatter Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Scatter plot\n",
    "\n",
    "x = [10,20,30,40,50,60,70,80,90]\n",
    "a = [1,2,3,4,5,9,8,2,1]\n",
    "b = [5,8,5,9,3,4,5,2,4]\n",
    "plt.scatter(x,a)\n",
    "plt.scatter(x,b)\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = [10,20,30,40,50,60,70,80,90]\n",
    "a = [1,2,3,4,5,9,8,2,1]\n",
    "b = [5,8,5,9,3,4,5,2,4]\n",
    "plt.scatter(x,a)\n",
    "plt.scatter(x,b)\n",
    "plt.legend(['a','b'])     # Adds the label on the grapg with representation\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = [10,20,30,40,50,60,70,80,90]\n",
    "a = [1,2,3,4,5,9,8,2,1]\n",
    "b = [5,8,5,9,3,4,5,2,4]\n",
    "plt.scatter(x,a)\n",
    "plt.scatter(x,b)\n",
    "plt.legend(['a','b'])\n",
    "plt.title('X vs a&b')\n",
    "plt.xlabel('X')\n",
    "plt.ylabel('a&b')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = [10,20,30,40,50,60,70,80,90]\n",
    "a = [1,2,3,4,5,9,8,2,1]\n",
    "b = [5,8,5,9,3,4,5,2,4]\n",
    "plt.scatter(x,a,s=200)    # Changing the size of the bubble\n",
    "plt.scatter(x,b,s=200)\n",
    "plt.legend(['a','b'])\n",
    "plt.title('X vs a&b')\n",
    "plt.xlabel('X')\n",
    "plt.ylabel('a&b')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = [10,20,30,40,50,60,70,80,90]\n",
    "a = [1,2,3,4,5,9,8,2,1]\n",
    "b = [5,8,5,9,3,4,5,2,4]\n",
    "plt.scatter(x,a,s=200,marker='3')      # Changing the Shape of the Bubble\n",
    "plt.scatter(x,b,s=200,marker='1')\n",
    "plt.legend(['a','b'])\n",
    "plt.title('X vs a&b')\n",
    "plt.xlabel('X')\n",
    "plt.ylabel('a&b')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = [10,20,30,40,50,60,70,80,90]\n",
    "a = [1,2,3,4,5,9,8,2,1]\n",
    "b = [5,8,5,9,3,4,5,2,4]\n",
    "\n",
    "plt.figure(figsize=(10,5))    # Setting Figure Size as required\n",
    "plt.scatter(x,a,s=200)\n",
    "plt.scatter(x,b,s=200)\n",
    "plt.legend(['a','b'])\n",
    "plt.title('X vs a&b')\n",
    "plt.xlabel('X')\n",
    "plt.ylabel('a&b')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = [10,20,30,40,50,60,70,80,90]\n",
    "a = [1,2,3,4,5,9,8,2,1]\n",
    "b = [5,8,5,9,3,4,5,2,4]\n",
    "\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.scatter(x,a,s=200)\n",
    "plt.scatter(x,b,s=200)\n",
    "plt.legend(['a','b'])\n",
    "plt.title('X vs a&b')\n",
    "plt.xlabel('X')\n",
    "plt.ylabel('a&b')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histogram Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histogram Plot\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "data = [1,1,5,2,6,8,1,2,3,6,9,4,5,3,1,1,5,5,9,9,6,6,1,5,1]\n",
    "\n",
    "plt.hist(data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing an CSV file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "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>sepal.length</th>\n",
       "      <th>sepal.width</th>\n",
       "      <th>petal.length</th>\n",
       "      <th>petal.width</th>\n",
       "      <th>variety</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal.length  sepal.width  petal.length  petal.width variety\n",
       "0           5.1          3.5           1.4          0.2  Setosa\n",
       "1           4.9          3.0           1.4          0.2  Setosa\n",
       "2           4.7          3.2           1.3          0.2  Setosa\n",
       "3           4.6          3.1           1.5          0.2  Setosa\n",
       "4           5.0          3.6           1.4          0.2  Setosa"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris = pd.read_csv(r'C:\\Users\\Welcome\\Desktop\\Data Analysis\\Data Science\\Plotting\\iris.csv')\n",
    "\n",
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(iris['sepal.length'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Changing the Color of the plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(iris['sepal.length'],color='red')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Changing the width of the bar in histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(iris['sepal.length'],color='red',bins=30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(iris['sepal.length'],color='red',bins=100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(iris['sepal.length'],color='red',bins=50)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pi Charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Pi Charts\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3XjEaR3B6LfAf0F2A2/WJBL9XM/7JRLatkl170l2PT2k7rfdM4EORUCEwXXcd2eBfpSXHbs7P2zLaduPNmPh0MYF3wKFYc4IboxEpOmfSxDdH26xaOnozUY4PmcA7wJzOj8FbeblH3T6ufMRT+xozJj5dDtO10qwJvI/9pKpi2m6RYS/MjafDsamvjf3kAYfraNgE3sfiIpMunFgz7G268WLWiU8jLdebTOB9bmVR4dy1hQWtQz1XaQKfTlN0NOqJwIcioXzgEN11ZCWR3G9OmhAbanDNOLrMRdD0eZ+ORj0ReKzZbcyEDUnqysmZ+cvKivesXFNuxsSnkwl8CqbpLiDbLQyUH/5Wbs5+t+pK6DFj4tPHnaf0IqJE5LYBf88TkTdF5O/pLW1MKnUXkPVEAudNmrBh4EOFZhKMdHLtEb4LOExE+u8bfhTYlr6SklKhuwAveLGg4IOLS4qf6f+7GROfVlpGdSZ6Sv9P3p1Y4izgT/1PiMgxIrJcRJ6x/zzUfvxsEblXRP4lIhtF5IYBrzlXRDaIyGMi8gcR+bX9+FQRWSwiz9l/HpRgfYEEtzNG8Z0J1YFe6AXIJV6uux4PKww2NldnutFEA38X8HkRKQJmASsGPNcKnKiUOgL4AXDtgOdmA2cCIeBMETlQRN4HXAkci3W2MGPA9r8GblVKzQLuAG5MsD5zhHdIr8jBV9WMXw4gQlkOcdP5Jn0mZbrBhAKvlHoOCGId3f8x6OkAcI+IPA/8Apg54LnFSqkOpVQ3sB6YChwDLFFK7VBK9QH3DNj+OOBO+/vbgLkJ/hxmdhYH/b205L+35OW9DDCOrk7d9XhYxrvXjuUq/YPATxlwOm/7EfCoUuow4JPAwAs9A8ddx7BunY2lM4dKcDutEwN6jkjxOZMnvA5QKbvNOvHpk/FbyWMJ/C3A1Uqp6KDHA7x7Ee/sBPbzNDBPRCpFJA/4zIDnlgOft7//IvCee8PDcM1yvF6xPS/v6D+Xlz1VRWeX7lo8LOO/twkHXin1ilLqV0M8dQNwnYgsI4HhqUqpbVif81cA/8Y61e9fHeVC4Ksi8hzwZRJf7tl0EEmDa8dXTs3L7TKTYKRPxo/wozaolHrPrRml1GPAY/b3T7L/Om5X2o8vAhYNeM3ApZvvVErdbB/h7wMetrdpA8Jj+gks5gifBhW7yPnwywfuOKG4aIfuWryod4xrBThBV3fU+SLyEazP+w8D96e4PxN4h4lS8esXxl59bcqW/FenHFSlux4vKkz8GpVjtAReKXWZw7s0nzMddsGD8aWBPczraW955tUpJ+gux6syPsGIV/rSjzpdk5G4w1+KPzd3vZoLUNHx4lTd9XhYxvs4mMAb+ynbq3Y23hMfL/YF2IK+ripU7DXddXnUzkw3aAJv7Oe6hbHWXLX/SK7Cns5XdNXjcQkv/eUUE3jjHV9aHHt8YgfHDn68fNdWc2vOeX1Ae6YbNYE3AJj+qtrwyafVMUM9V7Wz1fRzcN6bDU3hjF+lN4E3KOhTe66+PZYn+3eLfkdl+wYtY7c9LuOn82ACbwBX3xZbkx/j4OGeL9nz+kEoZfrUO+sNHY16JfBvoaETgxfUPR1ffvAbI49KFJC82N62DJXkF+YIn6xofXQfGm5xZLvJb6utX1kcT2gl05Ku1033Wme9qqNRTwTepuUfMFvlxlTfgkWx3ZLgXAKVOzeaOeqd9byORr0U+GdG38To13hPfHlxb+KLd1S2t5r+9M4aPMw8I7wU+JW6C8gWc9fFV83arE4cy2sCnW3TUCrjo7s8ah/QoqNhE3ifqdyltl/wt/hUGdvMQ+TGe0tE7Rt1TXkjIRsamsJaluL2UuDXomH0UTYRpeI33BJ7JUdRk8zri7p3vO50TT6l5XQePBT4aH10L5ouhGSLb/09vjSwhyOTfX2gs61n9K2MBJjAO8Sc1g8jtDkePfF59cFU9lHZ3moWpnCGCbxDTOCHULpXdVxxd7xSUpzwpHLnhgOcqsnHFLBMV+Mm8D5w3aJYS26clMNa1LNzEir+lhM1+djahqbw27oa91rgnwf26i7CTb74aGzppJ3vHfKarPy+3Vud2pdP/Vtn454KvN3Fdq3uOtxi+mtq46eeUkc7uc/y3a/scnJ/PmQC77DBS2H5UkGf2vPD22I5ww15TVZl+wYzQ3DyeoClOgvwYuDv1l2AG/zw9tjqghjTnd5vZXtrUvfwDQCWNTSFtX7k9Fzgo/XRDfj8tP6UlfEnp79OWuaWLuvaNg2lzP345Gg9nQcPBt7m26P8pB3q5bP/HU94UMxY5ah4Xm68d1O69u9xD+ouwKuB/7PuAnTIjam+BQtjnWIt8Jk2xXu2a7utlMWeaWgKr9NdhCcDH62PbgJW664j077zl/iykl5mprudio6XMr6AggfcrrsA8Gjgbb46yh+/Pr569iY1LxNtVbW3VmSiHQ+JAXfqLgK8HXjffI6v2K3evPDB+EFjHfKarEDHi8FMtOMhixuawq4YaejZwEfro1uw1qD3NqXUDbfEtiY75DUZ+fv2BiQe25ap9jzgNt0F9PNs4G2eP60/vzm+pKKLOZlut7B3p1l+KjFdwH26i+jn9cDfhof71oc2x58/KapGnGI6Xco7t3braDcL3dnQFHbNcuaeDny0PvoWsEh3HelQ0q06vnt3vCLVIa/JqmpvdbTLrkfFgZ/qLmIgTwfe9nOsf3hPuW5RbH2eA0Nek1W58wWz/NTo7m9oCm/QXcRAng98tD76Ii76DOWEsx6LLZ3cznE6ayje++YBKNWhs4YscL3uAgbzfOBtP9FdgFOmva5ePO1JdZTuOgQkb9+eNt11uNjjDU3hp3UXMZgvAh+tj64AHtFdR6oK+tTeq2+LKYFi3bUAlHa9Zo7ww3Pd0R18EnjbD3QXkKqr7oitKtzHIbrr6Fe5c4NZfmpozzc0hV05L4NvAh+tjz4F/FN3Hcn62Kr4k4e8lp4hr8mqan+hWncNLvV93QUMxzeBt2XlUX7iDvXKOY+kb8hrssp3tU1DKTOQZn+LG5rCD+guYji+Cny0PrqKLLtinxNX+xYsiu1M95DXZOTG9xXlxPe16a7DRWLAxbqLGImvAm+7CMiaiRi//df4stIeElrDXYei7rdcMSjEJf6voSmsbZGJRPgu8NH66MvAFbrrSMRxLfHVR744tlVeMy3Qudms52fpAK7UXcRofBd422+B5bqLGElgt3rzogfiB2ZqyGuyqnaY5adsP2poCr+pu4jR+DLw0fpoHPga1rTB7mMNed2So5igu5TRVOzccJDuGlygFbhRdxGJ8GXgAaL10RbgWt11DOUb/4wvqexCe2+6RBT27apBxbfrrkOjfcCXG5rCfboLSYRvA2+7DpctMT1zS3xd+NnUVnnNtILeXS/rrkGjHzU0hVfpLiJRvg58tD7ah3Vq74rRdCXdquN7d8XHCWTV6i7lu1/erbsGTVYA1+guYix8HXh4p5/9TbrrALg2EluXF+dA3XWMVWX7C1n1BuWQPVin8lnV8cj3gbd9D9ios4Azl8SeeN8OjtdZQ7Iq21+YpLsGDS5raApr/Z1Jhgk8EK2PdgGfwrqXmnFT31AvfXq5OlJH204o63p1Kkp5diqxIfyjoSn8O91FJMME3hatj7YCZ2J1j8yY/H2q+8e3xuICJZls10mCys2N9WzWXUeGbAK+rLuIZJnADxCtjz4EXJLJNq+6I7bSTUNek1Wy5w0/LD/VBZza0BTeobuQZJnADxKtj94I3JyJtj66Jv7U+19115DXZFV0vKh015BmCqhvaAq76jbuWJnAD+0C4LF0NjCxXb3ytYfitelsI5OqdrR4ffmp7zU0hf+qu4hUmcAPwb4/fwbwUjr2nxNX+xYsjLW7cchrsgKdm6ahlFeP8rc0NIWvG20jEZkoIneKyCYRWS0iT4rI6ZkoMFEm8MOI1kffxrpy3+n0vi+9N76stIeQ0/vVKS/WUy4qtlV3HWnwCPDN0TYSEQHuBx5XSh2slJoDfB72n0pcRLSsI9DPBH4E0froeqz/NMf6Sf93a3zNURuVJz63D1bY0/6a7hoc9h+si3SJ/P+HgV6lVFP/A0qpLUqpm0TkbBG5R0T+BjwsImUislhE1ohIVEROBRCRoIi0ikhERJ4Tkb+ISIn93BwRWWKfOTwkIpPtxy8UkfX29neNVqQJ/Cii9dF/AqfjwJJVgS711sX3x6eIR//dx3Vu8dLyU48Bn2xoCif6/z4TWDPC88cB9UqpMNANnK6UOhL4EPAz+wwB4FDgZqXULKyzy2+JSD5Wb9Az7DOHW3i3S28jcIS9/ahnIp78xXNatD7aDJxCKjPlKKWuvyXWlqOY6FhhLlPV3pq1fQkGWQLUNTSF9yS7AxH5jYg8KyIr7YceUUr1384T4FoReQ74NzAF3vm9eFkptcz+/nZgLtabwGHAIyKyFmuSzP6PCs8Bd4jIl7BG7o3IBD5B0froEuDDQFL3m8/7V/zxqt3ZMeQ1WZU7N2hb+spBS0ku7OuAd3pLKqUasH5f+pfxHrig5Bftx+copWYDbwD9a/UNvvCpsN4g1imlZttfIaXUyfbzdcBvgDnA6tGuEZjAj0G0ProSmAeM6bNq7Va1/iNrVVb2kx+L4u6334dSO3XXkYIngI8nudrrf4AiETl/wGPDnfEEgO1KqT4R+RAwdcBzB4lI/zJiZ9k1vQDU9D8uIvkiMlNEcoADlVKPAt8BKoARZyAygR+jaH10HdZpVkJdSYu7VeeVf4qVZtuQ12Tl93W16a4hSfcCH2toCic11FdZtyRPA+aJyGYReRqIAJcPsfkdwFEisgrraN864LkWoN4+3a8CfqeU6sW6TXy9iDwLrAWOB3KB20UkCjwD/EKN8oYr3r11ml6hSGgK1i2bETvP/OLmfcunvJ2do+CSsebwC5fsrDx0nu46xmgBcEVDU1hrGEQkCPxdKZW2WYrNET5J0froNuBEYPVw23x2aewJP4UdoHLnBq33mceoDzinoSn8Xd1hzxQT+BRE66NvYX2mv3PwcwdtV5vOeCJ7h7wmK4uWn9oBfLShKbxQdyH9lFJt6Ty6gwl8yqL10a5offSLwLewZ8HN36e6r4nE+rJ5yGuyyndtnYZSbp/QcQNwbENTeInuQjLNBN4h0fro77Au5rVdeWfs6cJ9HKq7Jh1yVKwgJ97n5rHxtwBzsnG2GieYwDsoWh9dFXxDzZ6xDT9P20zx3jfduCDDDuAzDU3hc5O9Eu8FJvAO+9t3nu+obW35LPBVwJe/WIGOTW5bfmoxMKuhKXyv7kJ0M4FPk9rWlkXAbFy+pFU6VLW3jtNdg60XuAzr4tw23cW4gbkPn2YtM2oFOBtr0QvP9qMfqDe/dMcTH7yhSnMZjwIXZvsMNU4zgc+Qlhm144CrgP/BB73u/jPvpteRHB3TV2/FmkL6Hg1tu545pc+Q2taWztrWlkuBWcDDuutJt8KejkwvP9UNXA3MMGEfXjb1ivKE2taWVuBjLTNqTwN+DkzTXFJalO9+eU9PUWWmmrsXuLShKdyWqQazlTnCa1Lb2nI/Vj/8i7FOQz2lsr21MM1NKOA+4OiGpvBnTNgTYz7Du0DLjNo84HPAt7Gu7Ge9rpJJbSuOuTKYhl3vA/4ELGhoCq9Pw/49zQTeZVpm1H4EK/gnj7atmykk/ui8m/YgMuL47DHoxuol9xNzNE+eCbxLtcyoPRzrHvKZZOlV/cfn/iS6L68k1dl512ONK480NIXfcKAsXzOBd7mWGbXVwKexgj8Pa9KDrLDqiEuXdgYOTmaG3h1Yp+2RhqbwytE2NhJnAp9FWmbUTgQ+gxX+ubj8ouuLB5/6+NaDTj4xwc17sCYUiQAPNjSFe9NXmX+ZwGeplhm178Oa9uizwLG48BbrjopD162dfeHMETZpBR6yv5akMkuskRgTeA9omVFbijXH2Tz762gg3bfFRhXLKdiz5ISfF2FNtgjWjL9LgH8BDzc0hbfoq86fTOA9qGVGbT5Wj75j7K/ZQBBrVtNMUMAWYN3S469f0VdQth5YZQKunwm8j7TMqA1gTYkcHOLPaqAA645A/oDvB35UUEA78OYIXxuBltrWFl8ODXY7E3hjRPZovzysN0Y+t44AAAI8SURBVIDu2taWmOaSjBSYwBuGj7j6tk42EJEDROQBEdkoIi+JyK9EpEB3XYYxFBP4FNgrft4L3K+UOgR4P9ZSP9cM2s51t8wMfzK/iKkJA91KqYUASqmYiFwMbBaRzVhLARcBpSLyKeABoBLrYtj3lVIP2KuN/BNrDbHjgW3AqUqpvSJyNPBHrIUInwBOUUodJiK5WKulnIR1++03SqnfZ+hnNrKYOcKnZiaDVp5RSnViDXfNI/E1wQ/BCu1MYCdWbzqAhcA3lVLHAQMvlp0LdCiljsa6536eiHhyXL3hLHOET43w3uV9Bz4+1JrgJwJx9l8TfLNSaq39/WogKCIVQLlSqn8SzDuBT9jfnwzMEpEz7L8HsN403DwfvOECJvCpWce7R2MARGQccCDWEXm4NcH7RKSNd9cE7xmwXQwoxnqDGI4A/6OUeiil6g3fMaf0qVkMlIjIVwDsz9Y/AxYBg/uFj7Qm+HsopdqBXSJyrP3Q5wc8/RBwvojk2+2+X0RKU/1hDO8zgU+BvSb46cBnRWQj1ppl3cAVQ2w+0prgwzkXuFlEnsQ6qnfYj/8f1jjxNSLyPPB7zNmakQDT8cbFRKRMKbXb/r4RmKyUukhzWUYWM0cFd6sTke9i/T9twVrQwjCSZo7whuEj5jO8YfiICbxh+IgJvGH4iAm8YfiICbxh+IgJvGH4iAm8YfiICbxh+IgJvGH4iAm8YfiICbxh+IgJvGH4iAm8YfiICbxh+IgJvGH4iAm8YfjI/wOzHsgKuh6AtAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fruits = ['Apple','Banana','Mango','Orange','Grapes']\n",
    "price = [100,30,120,50,85]\n",
    "\n",
    "plt.pie(price,labels=fruits)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dividing the Persentage to the pi plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fruits = ['Apple','Banana','Mango','Orange','Grapes']\n",
    "price = [100,30,120,50,85]\n",
    "\n",
    "plt.pie(price,labels=fruits,autopct='%0.1f%%')       # Uses for representating the persentage of the space occupied\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fruits = ['Apple','Banana','Mango','Orange','Grapes']\n",
    "price = [100,30,120,50,85]\n",
    "\n",
    "plt.pie(price,labels=fruits,autopct='%0.1f%%',shadow=True)    # Shows The Shadow\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Slicing the Pi Chart using its indexing values based on '0' & '1' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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draz3XESuY08CLQ20LX+HSWfdjmRl42/ZVhNVwM+WBXcy/qSryRpTynrPbxg94zsQsCZOk86+nW8e/i2BjhYCXR10rl9G8YGnbNNPHLnBUVXzYu28ObaEvodjpE+jh8LpDF4NeiRynuEx9g151+1rBi6Kx8Bjie+JZFZBCTkTZgCQkZNHdulU/E11NH30PIX7n4hkWUetmfnbhhd0rl9GVvFEsosnIJnZ5DsPoW35O0hGFqq7E6UCKH83SAa+/z1E8cGnxfW1DICTJN7XSidRiMs02mYyCB8w9W/isGQqluZEJLIFoNu3gc4NK8mZtDNd9V/TsfZz1j9wMd88UkXH+mXbtm+qI6tw3Lc/Z44pw99cR3bZVLLGjGP9/b8mv/wguuut08FR2+2YqJfSF7ejqiYpY0jSQhQMj3EYsLvddsSJvbDK1g/G+UBbLAcdQ+vArpIxJtDZxqanr6HkiJ+TkZMHAT+BjmYmnH4jYw87i03/uY7I9sUsb82S757LpLNuo3C/42n434MUHXQqvkWPs2n+PJo+/m98X0x/xgHnJHLASEkLUcAqu5bKXG14jIkh77p9K7F8M2JGvrTH3T1c+bvZ9PQ15O9yGHk7W4WWM8eUkbfTbESEnEk7IyIE2vpXscsaU0p346Zvf/Y3bSazoL8vV+vydxg1YSaqq53OzasZd1wVLZ+/SqAroe4XFzmqahI244qUlBcFw2M4gB/ZbUecKQRuCtPmeixPx5iQS2dcK08rpah74RayS6dSuN/cb6/nzdyf9tWfAtC15WuUv5uM0f3r/I6auBPd9evoavgG5e+ixfuGtdHY07e/m8YPnqHwO8ejujv4tgqgUuBP6N7fdOD4RA4YCSkvClhT53R4nScH09IPjNvXSfhlRsSMojuuiVY6vv6Cls9fpX3Np6y77wLW3XcBbV++T8HuR9Ld8A3r7v0Vm5+5ntI5v0FE6G6qY8O/rgRAMjIpOfI8Nj7xR9bd80vyyw9m1Lhp3/bdtLiGgt2OICM7l+xx0wHFunsryZniJCM34fVeL0n0gOFIaT8Fw2PkA19hb2bmRLIcMEyXGdrb0F30EBDa8SlCAor6HToeGRttPxoA9qmdN+dDu43oIdU/Qc8gfQQBYCZQFabNJUBoh6cIEdCJVmJHzGZwsSBlRcHwGEL4NGapyO8NjzEj5F23bwNwWbSDiJCVR1tLtP1oADg5mfI5pqwoAN8jefMuxpMc4O9h2vwDeD/agcbSrHMqxIY8IHTxnwSTyqJwlt0G2Mj3DI8ROu+k2xfAKmsfVcBUsTTrUlGx4yd2G9BDSoqC4TGygKPstsNmbjY8RmHIu27fYqLMNlwqjTF1iEpzZjuqaibYbQSkqCgABwJFdhthMxMZIMPzVlwODDsTUBk60UoMEeBYu42A1BWFOXYbkCRUGh5jz5B33b5GoogJKROdUyHGzA3fJP6kqigcbbcBSUImVsBU6L+z2/c4sGA4nZeJL25JXNKUCkdVje0z3JQTBcNjTMcKTdVY7Ef4ormVwJDTq5WJL3U93+whmySY5aacKJAEv9Qk5BrDY2wX8q7btxyYN9ROx9KkRSH22L6E0KKQHhQTPuvUtVhu0hEzNoE5FdKIoxxVNbl2GpBSomB4jDxGXoGXRHGa4TEOD3nX7etg8NRu21BIS9qk80sgBcABdhqQUqIAHAHYqrJJzp2GxwidB8HtWwA8HmlnBdKekEQraUjoFHsJINVE4bt2G5Dk7Az8X5g2vwEaw7QBYDQdcc2pkMZoUYghht0GjAD+EDyhGRi3bz2WU1NYRtEV15wKaYwWhRiyi90GjABGEz5g6g5gcbiOsvAnPCNJmrC9o6rGtrKGKSMKhscowaqFoAnPDwyP8eOQd90+P1bAVGCwTjJQOqdC/LBttpAyokDq1XSIN38zPEboT3q3732sEOuQiJA7ii5dUzI+aFGIAXrpMDSmAH8K0+b3WOXpQlKkcyrECy0KMUCLwtC50PAYoethuH0+wiQWHStaFOLEPnYNrEUhvcnCCpiSkC3cvoeBV0LdLtE5FeLFeEdVjS0buVoUNLOBn4Vp8ytgwDDpMhp1ToX4MdmOQVNCFAyPUQxMstuOEcw8w2OMC3nX7VuKVUxmG0rFpzca44ct7+mUEAV0qHS0lBDin74PfwFWbn1xnPiSspx6iqBFIQr0LCF6XIbHOCTkXbevHavaVj/KaBzUl0ETFckpCiKiROTBPj9nicgmEXkuvqYNCduz1aQAghUwFTrIye17Afh330sl0qhzKsQPW0QhktDXFmA3ERmtlGoDjgS+jq9ZQyamhTQCnQFWXbsK1a1QfkXhvoVsN3c76l6uo+6lOjo3dlJ+WzlZY7b99bWtbmPdA+sItAUgA8YfM56i71iatbZ6Le1ftTNm1hgmnGAl7t34n43kTs2lcK/QiZcTyC7AxcB1g7T5NVZNjTEAY6U5VWabyUhSbzS+QG/yklOAR3tuiMh+IrJIRD4Kft85eP1MEXlKRP4rIstF5Po+zzlHRJaJyGsicreI3B68Pk1EForIp8Hv20doX0xFQbIFx+8czPjzDGZcNYNms5nWFa3kzczD8X8OsktDf5hm5GQw5edTmHnNTByXOFj/yHr8LX7a11qb9DOvnknrslb8rX66GrpoW9mWLILQwx8NjzEt5F2372vgyp4fi2jWORXiR3IuH4I8BpwsIrnA7sC7fe4tAQ5RSu0J/BG4ps+9WcBJWNGLJ4nIVBGZBFwB7I816+hbxel24AGl1O7Aw8CtEdoXW1EQITPXSiqk/NZsAYHR00YzalzodAQAORNyyJmQA0D22GyyCrPobuqGTFBdChVQqG4FGbDxqY2MP962uJdQ5AG3hWlzK/AJwBhp0zkV4octdSAiEgWl1KeAA2uW8PxWt4uAf4nIZ8DN9I9BWKiU8iml2oEvgGlYiURfV0ptUUp1Af/q03428Ejw8YPAQRG+jvwI20WMCihWXLGCJRcuoWDXAvJ2HHqUcOvKVlS3YtT4UeROyiW7JJsvr/ySon2L6NxgHfuPnpaUKQmOMTxG6BoEVsDULwE1mo6chFmVftjy5hjKevAZrDx/j251/c/Aq0qp3YBj6J/5qO8Zth9rDyO099y2RLqJNfjH9zCQDGHGn2ew800707ayjfavhuaj09XQxVd3fcXkcyYjGdZLnnjqRGb8eQZlPyizZglzx7PxmY2s+fsatry2JdYvIVpuNTxGaLF1+94G7smhMylVLUWwZRY2FFH4J3CVUsrc6noRvRuPZ0bQz3vAoSIyVkSygL4hvIuAk4OPTwXejNC2uP3yMvMzyS/Pp9mMvGyiv83P6ptXs93x25E3Y9sZRuPiRkZPH02gI0DH1x1sX7k9DYsaCHQk1ene9ljLwcH4XQZKezTGD1v2ayIWBaXUV0qpWwa4dT1wrYi8hVV8JFw/X2PtO7wLvIy1rPAFb18InCUinwKnY+10R0JMZwrdjd34W6w6J4HOAM1fNDNqYmRDBLoDrLl1DcUHFFO037YnpapbUbegjrIflBHoDPTOm5R1L8m4OMymY72PgiGnhtdEjC0zhbBKpJTaJihDKfUa8Frw8dvATn1uXxG8fj9wf5/n9K3a9IhS6q7gTOFp4KVgm1qgYkivwCKmv7xuXzdf3f0VKqBAQdF+RRTOKqRuQR2bnt9Et6+bFVesYMzuY5h89mTaVrWx5dUtTD57Mo3vNdKyrAV/s5+GNxsAmPyzyd/uHdQtrKP4wGIycjLInZoLCpZfvpwxu48hMz/pMqa/DKwZrEHd43kdlx6aU4tIUh2hpALKcgdIOKJU4j+dROSvWElWc7EE4dcqCkMMj1ED/DBG5mksvgH2MF3mxlANvOXOacDHbxx43eru7II9Emda2uCrrK6I6claJNiyZlFKXRrjLpNul26EEwBOCyMIWVibzsUFLes/aSiemTDj0ghb4kpSxRttk90GpBjXmS5zYZg2V2EdIVPcsCzp1j0pgi0FfLUoaLbmbcKcOnjLnd8Fftfzc8mWJaXxNipNabBjUC0Kmr40AKeYLjPktNVb7hyP5Vj27XunsGnNDiilQ6hjT8jlWzzRoqDpy89Nl7k61E1vuVMAD1u532ao7pyMQNeqeBuXhmhRiAItCtHzD9NlPhmmzaXAUQPdGN2+2ZY3cIozaCbteKFFQQPwGXDRYA285c79sLIvDUiRb6VePsQePVOIAi0Kw6cVOMl0mSHdlb3lzkKs48eQTmIl9Ut0tajYo2cKw8V0mQ1Al912jFAuMl3mF2Ha/APYYbAGxQ0rIs19oYkcPVOIks12GzACecJ0mXcP1sBb7jyH3iC1kIzqaipDBb6JmWUagHV2DJpKoqB3v4fGKuDcwRp4y51OIk90w6jOxq+iNUrTj8/tGDSVROF9uw0YQXRj+SP4QjXwljtzgcexMjFFxJimtZHHl2vCsbqyuqLRjoG1KKQnl5su890wbW7CSqMXMSUNS3UWptixdd6ShKFFIf14iTCFX7zlzuOx0q0NibH1S23JKZiiaFGIAcvpTdaiGZgNwBmmywwZpu4td24P3DOczvNb1k9DqdbhGqfphxaFaAm+0T+w244kRgGnmy4z5Nl3n3DoscMZQFAZmf52veEbG7QoxAi9hAjN9abLXBCmjRs4IJpB8ls36NwW0dMFLLVrcC0K6cE7wOWDNfCWOyuA30c7UHHD8qRLNDkCebeyusI2ZzwtCqmPj/Dh0OOAh4jB+2Fs/ZKSaPvQ8LKdg6eUKJgucy02+YsnMeeaLrM21M1gOPT9wMRYDFbUuMqBUkmVq34EEm6ZF1dSShSCvG23AUnE3abLfCJMm4uJYdLbLH9HgSj/oBmgNYPSiFUbxTZSURSettuAJOELwtTN8JY79wGujfXAue1bdAzE8Hm9srrC1jD0VBSF+fQvV5eOtGGFQ7eFauAtd47BKhwc84IjhU21umrU8LF16QApKAqmy2wEXrTbDpv5jekyPwvTphrYMR6Dl9QviXnB3zTC1k1GSEFRCPK43QbYyJOmy/zHYA285c6zgJ/Gy4Di+uVT4tV3irO8srrCa7cRqSoKzwDpOIVdDfx8sAbecmc5cFs8jRjdsWUiSmknpqHzkN0GQIqKgukym4Hn7bYjwfSEQ4esFeAtd+Zg7SPEfXqf3dUcMiu0JiRJIQq2lI1LEE8Ax9ttRAL5o+kywx3H3ggkpOZjQcvXjfWjymPWX33zRh54dR6NrfWICAc653C48WOefvsffLbmbTIzsigrnMRph/2WvJxtaiLz0Gs38Nnqdxgzupg//OTeb6/Pf+cuvlj7HlNKZ3BGRRUA7y1bQEtHI4cbP46Z/RGwqLK6YmUiBwxFSs4UgjyHlZQ0HXgZGLQkvLfceRxQmRhzYGx9bEvJZUgmx+9/HlecdB+XHnc7b3z+H9bX11I+ZW8uO/FeLjvxHsYXTeGljx4Z8Pn77/R9Kn/Y//S1raOZVRs+57IT7yGgAnxdt5LO7g7eWfoih+xybCzNj4SkmCVACouC6TJbgBq77UgAG7GiHwcLh54K3BvqfjwYW790fCz7K8ovZeq4nQDIHZXHhOJpNLRsxjl1HzIzLP2Zvt0uNLQMnKpzxqTdycst7HdNJIPuQDdKKbq6O8jMyGLhJ49zmDGXzMyETqI7SaLN8ZQVhSADf2ykDgorP0JIZyFvuTMT6/eQ0JiEMc1rpqNUZzz6rmv6hq/qVuAY7+x3/e0lL7DL1H0j7id3VB6zph/MvH//gtLCCYwelc/qjUvZ3XFgrE0OxwuV1RVJszGbynsKAM9iJSidbrchceJG02WG88m4EjgoEcb0JUMFsjMCncsCmTk7xbLfjq427nnJzY9n/4rRo3r3S/+7+GEyMjLZd+Z3h9TfkbNO5shZVrLqh1//K3P2PZNF3hq8X33I5NIdOGqv02JpfijuSsQgkZLSMwXTZfqxcg2mIu8Blw3WwFvuPAz4Q0KsGYC8tk0xLdLj93dz90tu9pl5BLN2OPjb6+8sfZHPVr/NmRWXISLD6nvt5uUAjC+awrvLFnDOkX9k3ZZVbPTFPUG1WVldkVQnZSktCkH+CdTZbUSMaQRONl1myJh7b7mzDHgYG//GRb4vY+bDr5Ti4df/yoTi7RjccIsAAA9xSURBVDli9xO/vf7Fmvd4+ePH+MVRVzMqO3fY/T/3/n3M2edM/AH/t0GeIhl0dsfdY/6v8R5gqKS8KJgusxW4w247Ysy5pssMl/bsfmBSAmwJSUn9kqJY9bXym894b/kClq37iGufPJdrnzyXz9e8yxNv3UZ7Vxu31/yWa588l0ffuBmAhpbN3PF8b86Y+16+mhvnX8AG31ouf+gkFi3p/XD+ZNWbTBtXTnF+GXk5BTi224W//OtnCMKU0rh4gvewFiv9XVIhSqV+ohzDY4zH2luIuIZBEnOv6TJ/NlgDb7nzIuDmBNkTkq6svIb/HXRDsd12JDEXV1ZX2P532pqUnykAmC5zI3Cn3XbEAC9w4aANyp17AdclxpzBye5uLRblt6X02QigHhi0ZJ9dpIUoBLkOaLHbiChoxwqHDumQFQyHfhwYlTCrwjCqI/47dSOUOyurK5KyolbaiILpMjcBt9ttRxRcbLrMcGm/7wBmJMKYSBnTtCZkToc0ZguWy3lSkjaiEOQGoMluI4bBU6bLHHT54y13uoCEHKoPhZJ6XUpuANzJ5Ky0NWklCqbLrCMO6cfizBog3MbiTsDfE2PO0BjbsNTWE5Ak5AuSfH8rrUQhyF+BT+02IkJ6wqHrQzVIZDj0cMhr3TAVpUbi7CxeXGx3DsZwpJ0oBB1+zgH8dtsSAW7TZS4K0+YGYM9EGDMcBCSru63WbjuShOcrqyuSPlVg2okCgOkyPwBusduOMLxCmKWOt9z5I+CCxJgzfPJb14ec6aQR3Vjp9JOetBSFIFcASZHUYgA2AaeZLjNkURVvuXMKlgt30lPcsGJ4AQmpxa2V1RW21YccCmkrCsHz/nPttmMAFOAyXeb6UA2C4dAPA6WDdfSH9es5aMVyfrSqV/tu3byJ41atYm7tKn62dg0buwcOn5jv83HUyi85auWXzPf5AOgMBDh37Vp+tGolj9b3fvhf+c16vmgPnRKzpN6b7qXkvNgYmDZU0lYUAEyXuRArRiCZuNl0mS+EaXMFcEi4juYWFXHXlKn9rp09toT506fztGM6hxYUcMfmbWPFGvx+7qjbzGPTHDw+zcEddZvx+f282drCLrm5zHdM5wmflQpySXs7AWCX3NDBSIWNtTug1EjYw4kHXcDpldUVIyaRcFqLQpCLSZ76kx8AVYM18JY7DyVMBeke9snLoyiz/5+4ILM3S1pbQDHQvP6tlhZm5+VTnJlJUWYms/PyebOlhSyEDhWg79b5bZs3c0FZ2aB2ZAa6RovqTtdErldVVld8aLcRQyHtRSF43JcMm3VNhA+HLsVaNkSV//BvmzZR8eUKnmv0DfgPvaG7i4nZvfl3JmRlsaG7iwPy89nc7efk1bWcU1LCK81N7JKby/is8EWmRrfXpWMpuXcYeX4xWhQATJf5L8Bjsxm/MF3ml2Ha3AdMjnagi8aN45UdZ3B0YREPN2x7MDBQ3KwAWSLcMGkSTzmm8/0xhTxYX8+ZJSVct3EDF339Na80h3ZHKPTVhhS7FKUFOKOyumLELZu0KPTyCyCcT0C8uM90mYPG1XvLnRcCx8Ry0DmFhSxo2vYfeUJWNuu7ehcJ33R3bzMbeKyhnmMLi/ikrY1sEW6cNIl/1IXOZVNS701K56o4cklldcVyu40YDloUgpguswOYi+VWnEiWEGb54i137glcH4vBajt7c6m+2tzEDqO2DU04MD+fRa0t+Px+fH4/i1pbODC/93/a5/fzWnMzxxYW0hYIIAgCdARC5+Yobli+fSzsHyHcX1ldMWjpvmQm1RO3DgnTZW40PMaPgLdIjNtwO9Y+QsiQbm+5swDLjXnIgUWXrvua91pbafD7OfzLFZxfWsYbLc2s6uwkA2FSdhZXbjcBgM/a23i8oYE/T5hIcWYm55WW8pPVtQD8srSU4j4blHfWbea80jJEhIPy83m0oZ5ja1dxUnHofCq5nb7xqMAmJGPcUF/HCOM94Dy7jYiGtMi8NFQMj3Ec8BQMuDkfS843XeaggUzecqcHOCPOdiSENw+4dnHnqMK97LYjjqwH9q2srvjabkOiQS8fBsB0mfOJv7PJ/AgE4XRSRBAACpq/arTbhjjSChwz0gUBtCiExHSZ1xK/Ul5rgbMHa+Atd84kxRLOjq1fmjQZoWJMADg1En8EEdlORB4RkZUi8qGIvC0icxNgY8RoURicnwHvxrhPP/DTMOHQo7D2EbatlDqCKYlxKbkk4pLK6or54RqJVZRiPvCGUmoHpdTewMnAlK3a2brXp0VhEIInEsdi+a7Hij+ZLvPNMG2uB1Ju7Z3f8rUDpUaMu2+E/L6yuuJvEbatADqVUtU9F5RSq5VSt4nImSLyLxF5FnhJRApEZKGILBYRU0SOBRARh4gsERGPiHwqIk+KSF7w3t4i8npwBvKiiEwMXr9QRL4Itn8snJFaFMJguswNWHEGi2PQ3avAXwZr4C13Hg38OgZjJR0ZKpCV6e8IV69iJPGHyuqKQat9b8WuDP4+mg24lFIVWCdTc5VSewGHAzdKb/mrnYG7lFK7YxUG+pWIZAO3AScEZyD/pPe9VgXsGWwf9mREi0IEmC5zM9Yf5n9RdLOZ8OHQk7G8FlOW0W0bU6Va1xWV1RXXRNOBiPxdRD4RkfeDlxYopXpyNwpwjYh8CryM5cm6XfDeWqXUW8HHD2HVCt0Z2A1YICIfY8XH9CxLPgUeFpHTgLBZn7QoRIjpMhuB7wP/HcbTFXCm6TJD1kDwljszsP7Ag0cXjXCKfStCiuIIwl1ZXXH1MJ73OX2WhUqpSuAIoMd3o6+/yqnB63srpWZhBe31hKJu7UegsETkc6XUrOCXoZT6XvD+HKwcnnsDH4bbs9CiMARMl9mGtcfw5BCfeovpMmvCtLkcOGw4do0kSrbErpScTVxVWV3xp2E+9xUgV0R+2edaqKplRcBGpVSXiBwOTOtzb3sRmR18fArwJrAUGNdzXUSyRWRXEckApiqlXgV+CxQTZgNbi8IQMV1mJ9aOcaTT/A+B3w3WwFvuPBj4Y5SmjQiKfV9OZ2R6zPmBCyqrK64cbgfKet3HAYeKyCoReQ8rEG+g98fDwD4i8gHWrGFJn3tewBVcWpQAdyqlOoETgOtE5BPgY+AArIjah0TEBD4CblZKNQxmp/ZoHCaGxxCseo2DbQo2AXuZLnNFqAbecmcJ8AlbHUulMq8ecutalZE5NXzLpKEROLmyuiJc8pu4IyIO4Dml1G7xGkPPFIaJ6TKV6TIvAq5k4GhjgF8OJghB/kkaCQJATkf9SKovuRo4MBkEIVFoUYgS02VeBfwIq2BoXzymy3x4sOd6y53nY+1RpBWFTatHSim5d4DvVFZXfGa3IT0opWrjOUsALQoxwXSZz2HtKve4uS4DKgd7jrfcuQdWYZq0Y2z90lCba8nEY8DhldUVyZKqL2Ho0OkYYbrMWsNjHIj1j35vmHDofKzq0GlZZzHJS8m1AL+prK5IyjLxiUCLQgwJukVHku9xYrxtSWby2jZPQSkfIsl2PPkB8NORmjEpVujlgw04l3hXYC03Rmx2nmjJ6m6ttduGPgSAa4AD0l0QQM8UbMO5xNsKnOctdz4P3A2kagThgBS0rPM1FM+02wywThdOr6yuiMaFPaXQMwWbcS7xPgPshFXbMqmrEceS4oZldpeS68b6ne+hBaE/2nkpifCWO3cBbsXyh09pGop2XLJ4z4vLbRp+IXBhZXXFFzaNn9RoUUhCvOXO44EbAYfNpsSNgGR1vHbI3zJJbEKR1VgJUf6dwDFHHHr5kIQ4l3ifApxY3pIjxdFnSGSo7pyMQFdtgoZrA9yAUwtCePRMIcnxlju3x4puO4vQEXUjknf3vXxRS/7EA+I4RCNwJ3BzOjohDRctCiMEb7mzDPgVcD698fcjmiU7/fT1dZMOPDQOXW/G2kS8vbK6YtCIQM22aFEYYXjLnaMBF3AJMMNmc6Jiw7i9Fn++6zmxzEX5FdZezF2V1RWtMew3rdCiMEIJZmo6Dvg/YH+bzRkWndljNr954LxoM00FgAXA/cBTldUVnYM314RDi0IKEDzKPCn4tbPN5gyJVw69bQOSsV34ltvgxUpQ8mBldcVICsVOerQopBjecufu9ArEjjabE5Y3Z//lg86c4n0ibL4JKxXe/ZXVFe/F0ay0RotCCuMtd+6FJQ5zgaTwKd6aT3Y77/W6MiPUZmM3sAh4Mfi1uLK6Qr9h44wWhTTBW+6cBBza52tn4l9ANyxrphy+aMWME/oeS67ASmn+IrCwsrqiyR7L0hctCmmKt9xZBOwL7Bf8vguwPb1pxONNJ7C0KX/ym+/ve1ktVoKaxZXVFSHL6WkSgxYFzbd4y52CVXDEgZVSfOvvY4BsYFTwe8/jvp6xXVh+AptCfG3A2iRc4VziTZsAsJGEFgVN1ASPR7OBLOcSb8iMU5qRgRYFjUbTDx0QFWdEZIqI/EdElovIlyJyi4iMstsujSYUWhTiSLBK8FPAfKXUTKxkKgVsVXk6XG0/jSaR6DdjfKkA2pVS9wEopfwi8htglYiswqpknQvki8iPgP8AY7HW55crpf4TrAj0Ala9wAOAr4FjlVJtIrIvcC9WBuI3gR8opXYTkUxgHlZtyhzg70qptM0HqRkaeqYQX3altxYEAEqpRmANliDPBlxKqQqgHZirlNoLSyxuDM40wHI8+rtSalegAfhx8Pp9wHlKqdlYtQ57OAfwKaX2xTpu/LmITI/HC9SkHnqmEF+EgUvK9VxfoJTa0ufaNSJyCFaQz2Ss40GAVUqpj4OPPwQcIlIMjFFKLQpefwQ4Ovj4e8DuInJC8OciLGFZFZuXpUlltCjEl8/p/VQHQEQKgalYn+x9j+9OxcqTsHew/HgtvY5EHX3a+YHRDO6NKMAFSqkXo7Jek5bo5UN8WQjkicgZAMG1/o1YYb5bx/sXARuDgnA4lrNQSJRS9UCTiPSETZ/c5/aLwC9FJDs47k4ikh/ti9GkB1oU4oiynEDmAieKyHKsGpPtwGUDNH8Y2EdEPsCaNSyJYIhzgLtE5G2s2YEveP0e4AtgsYh8hlV0Rs8KNRGhnZdGMCJSoJRqDj6uAiYqpX5ts1maEY7+9BjZzBGR32P9HVcDZ9prjiYV0DMFjUbTD72noNFo+qFFQaPR9EOLgkaj6YcWBY1G0w8tChqNph9aFDQaTT+0KGg0mn5oUdBoNP3QoqDRaPqhRUGj0fRDi4JGo+mHFgWNRtMPLQoajaYfWhQ0Gk0/tChoNJp+aFHQaDT9+H/Es5CiKKJW/AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fruits = ['Apple','Banana','Mango','Orange','Grapes']\n",
    "price = [100,30,120,50,85]\n",
    "\n",
    "plt.pie(price,labels=fruits,autopct='%0.1f%%',explode=(0,0,0.1,0,0))      # Slicing the required area from the pi plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fruits = ['Apple','Banana','Mango','Orange','Grapes']\n",
    "price = [100,30,120,50,85]\n",
    "\n",
    "plt.pie(price,labels=fruits,autopct='%0.1f%%',explode=(0.2,0,0.2,0,0))\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Keeping Our required colors in pi chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fruits = ['Apple','Banana','Mango','Orange','Grapes']\n",
    "price = [100,30,120,50,85]\n",
    "\n",
    "plt.pie(price,labels=fruits,autopct='%0.1f%%',shadow=True,colors=['black','blue','green','yellow','red'])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Doughnut Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Doughnut_Charts\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "fruits = ['Apple','Banana','Mango','Orange','Grapes']\n",
    "price = [100,30,120,50,85]\n",
    "\n",
    "pie1 = plt.pie(price,labels=fruits,autopct='%0.1f%%')\n",
    "pie2 = plt.pie([5],colors='w')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fruits = ['Apple','Banana','Mango','Orange','Grapes']\n",
    "price = [100,30,120,50,85]\n",
    "\n",
    "pie1 = plt.pie(price,labels=fruits,autopct='%0.1f%%',radius=2)\n",
    "pie2 = plt.pie([5],colors='w',radius=1)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fruits = ['Apple','Banana','Mango','Orange','Grapes']\n",
    "price = [100,30,120,50,85]\n",
    "\n",
    "pie1 = plt.pie(price,labels=fruits,autopct='%0.1f%%',radius=2)\n",
    "pie2 = plt.pie([5],colors='w',radius=0.5)\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fruits = ['Apple','Banana','Mango','Orange','Grapes']\n",
    "price = [100,30,120,50,85]\n",
    "\n",
    "pie1 = plt.pie(price,labels=fruits,autopct='%0.1f%%',radius=2)\n",
    "pie2 = plt.pie([5],colors='w',radius=1)\n",
    "pie3 = plt.pie([5],colors='y',radius=0.5)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Box Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Box Plot\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "x = [1,2,3,4,5,6,7,8,9]\n",
    "y = [1,2,3,4,5,4,3,2,1]\n",
    "z = [6,7,8,9,8,7,6,5,4]\n",
    "\n",
    "data = list([x,y,z])\n",
    "\n",
    "plt.boxplot(data)\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Violin Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = [1,2,3,4,5,6,7,8,9]\n",
    "y = [1,2,3,4,5,4,3,2,1]\n",
    "z = [6,7,8,9,8,7,6,5,4]\n",
    "\n",
    "data = list([x,y,z])\n",
    "\n",
    "#plt.boxplot(data)\n",
    "plt.violinplot(data)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = [1,2,3,4,5,6,7,8,9]\n",
    "y = [1,2,3,4,5,4,3,2,1]\n",
    "z = [6,7,8,9,8,7,6,5,4]\n",
    "\n",
    "data = list([x,y,z])\n",
    "\n",
    "plt.violinplot(data)\n",
    "plt.grid(True)            # Adding Grids to plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dqjrZ7LMketFcDtyxXnDvhRBuQIbWR9iER8RBVTbjCo7KnESA/xXWaJ7ptRCCX7UW2cQfxmvFAAO8qyI7DfAiMgz8PPAll+ksC+UpzxBOZCZcBe+ezllf0UUDPI5vsqrqPJBYg3EogW+pFjFQSvdGqzGuuAp2WebqqsWrc2U1kBp8NbBHuU1YSoFV4YsFoeDopObVNxlK4KsGcqViwtRf9CosravPYXm9+iZDCXyh3GswYeoveRWW1uWyvN58k1Gk3g9TsMzVwETGZIEF+N7x5psM5QYrhHOlYsI0EFiAd1leb77JkGq1FuCNzwb7wuoh5rK8/gT4gIJeaBMimLAUC0JfQLX4IQvw6wupBh9SWU2YhvvDqcVbgG9BSLXakK5WTJhcBr2sGR6wAL+ukKb5CqW3kAlXpyMr5k1fqWD94FsRUtCrBlRWE6YRh7XaLBl1XE5vAnxI7dL1gK5WTJhGA6nBu75S8SbAh1SDj6LupzUzJsuG+ooUi/4POjY22Od0+94E+JBuskJYVywmPCLCWAC1+LFBq8G3JAqsRhvSFYsJ04Yht7XbtBUKMNqf4wAvIuMi8gUR2Ssie0TkMldphRbwQjuhmfBscNx8kbbRgT5nwwQvc30N9GHga6r6S/Hk28OuEqoHFvCsicb4bqPnNfgkyucswIvIBuB5wKsBVHUJcDZVehRYwAutvCY8Q/1F+ksFb4fHznWABx4HHAH+j4g8DdgNXK2qcysXEpEdwA6AiYkJyuVyR4nNLdUTD3rRwhJoRGX/XYmmC7D7kWJqU5vNzs52vJ/yysqcjkq1nlgHiqSP5z2Pltjr+BB2GeBLwCXAG1X1dhH5MHAt8K6VC6nqTmAnwOTkpE5NTXWU2D/ed5T5xXpXGW5XYc9eooU5hrZdnGi6AD99/jhnjQ0kni5AuVym0/2UV1bmdOw/Ns+9j55KJK0kj+eh/iLPecJW5+m4vMl6EDioqrfH779AI+A7EdqzP3aT1YRg04if7fDjw8mUy1mAV9VHgAMi8qT4v14A/LOr9EILeKGV14RpdKBEycMHnjYN9yeSjuteNG8EPh33oLkfeI2rhEILeHaP1YRARNg80s/hk4tpZ6WnNo94EOBV9U5g0mUay4IL8BbhTSA2DfsV4If7i4nNWuXNk6yBxffgymvCtWU0mdpuUjYnWB4vAryqBhfwQrtiMeEa7i95NcPTlpHker95EeBDbK2wAG9CkmSt16VCATYl1IMGPAnwIQ6dG+JJzYQryVqvS+PD/ZQczuC0mhcBPsxgF2ShTaA2j/RT8CBabU34ROXBVwYaYLAL86RmQlUsSGJ9x13aOpZsGfwI8AEGuxDLbMK2dTTfzTTD/UWGHY//vlpbAV5ECvEokZkSYrAL8arFhC2tsZd6ZWsK+V83wIvIZ0Rkg4iM0Bhq4Aci8l/cZ611IQa7EE9qJmyDfUVGHU9x59JZKVyBtFKDf6qqngT+HXAjsA14pdNctSnEYBdimY3Jay2+VJTEBhhbqZUA3ycifTQC/N+oapWMdeHIVGYSEuJVizF5DfBbRwcQSX7QtFYC/MeAB4ER4BYRuQA46TJTZn1Wgzch2jDYl9g4Lr10dkonpnUDvKp+RFXPVdUrtGEf8HMJ5K1lIT7oZEyo8laLLxRgS0o9gNa8YyEir1DV60XkrWss8iFHeTLGmDWdNTbAgePzaWejZZtHBlKbXvNMt6RH4n/HkshIN6z+bkw4xof6KBUlsblau5VW8wycIcCr6sfif9+3+rN4Ao/MCLGFJsQyGwNQKAhbRwd45MRC2llZl0i6D2i10g++LCLbV7x/JvDdVjYuIg+KyF0icqeI7Oo4l8YYs8LZG/LRDj8+3Ed/Kb0BA1p5auADwNdE5CPAucDltDf13s+p6tFOMmeMMc1sidu16xkflOms0cFU0183wKvqTSLyBuDvgKPAM+IJtb1x3U17O1rvwPF5NNKO13/7i57c0XqmMy//2K0drzszU+FPf9DZ+je8/rKO0zXNFQuNuVqPnMr2VH5pX2msG+BF5F3ALwPPA34aKIvINar6ty1sX4GbRUSBj6nqzibb3wHsAJiYmKBcLreR/Ya6KpXFetvrLYsWljpaTyMFlGhhrqP1K/vv6mg9gINF4dgP0+kPPDs729F+StNCtc6x6c6CwcFTjf1c1+mO1v/a17/BYIqX6Z3K+n6u1pWFaufH/WrRwhJo1NVxuVKhINx2ON0++7JeH3IR+TBwrapW4vcXAH+mqj+/7sZFHquqh0TkbBpXAG9U1VvWWn5yclJ37Wq/qf5Epcp3Hzje9nrduu6mvUQLc1x75aWJpz2xYZCLz9uYeLoA5XKZqampVNLuxOxijdvuO9bx+t3uZxH4mcdvZShn085lfT9X6xG33HukZx0Oen08P/7sUS7cOrL+gl0Skd2qOtnss1YedLp6ObjH7/e1EtzjZQ/F/x4G/gp4VmtZNqZ3Hjza2RVWr6jCg8fSzYOP+ooFNo1kqkPfadLsHrmslV40Z4nIB0XkRhH5xvKrhfVGRGRs+W/gF4C7u8+yMa2bX6rx6Mn0u9M9fKLS0+YE05CFINrM8ECRkYH0R75spWHw08Ae4ELgfTTGpWmlm+QE8G0R+T7wHeBvVfVrHebzjFIYw8fkxANH5zLxzEAUwb5j+Xn6Mi+yOmzB2WPp9p5Z1sopZouqflxErlbVbwHfEpFvrbeSqt4PPK3rHJqm7KS2vspSPVMPwzw0M8/2rcMMlPLVFp9lA6Ui48N9zMxX087KabJy4mmlBr/8zT0sIi8RkWcA5znMU9ss1plm9h3PRu19WRSRqzFU8iIrteVlg31FNg4lP/Z7M60E+PeLyEbgGuBtwJ8Bb3GaK2O6tFirc2imsv6CCTswXaFaj9LOhleyUltelqX8tPKg01fiP0+QsWGCl6UxkH7aAixyWw4cnyfKYByt15WD05VEus+FYqi/MZXf7EIt7awA2brx2+6k23e4ykg3Qox1EmSpW1OtRxyYzl7tfdmB4/OZf8Q+b7ISVPtKhVSm5ltLu4/XZTKqWG3WrHRopkI9w0PJLtUiHj6R3RNQHmWlWeSslKbmW0sr/eB/S0TG47etDE+QuBBrsxn6DWVKFCn7c3Ajc/+xeZuJrIfGBvsYzsCTwlk50SxrpQb/GGCXiHyORr/2zIWW7OXIvUKIhW7B4VOLLFYz2Pi+yvxSnaOznY2BZJpLe2CvYlHYkrEna1sZquCdwBOBjwOvBv5FRH5fRB7vOG/mDCy+N3dgOvu192V5ymsepD0079aRAQopTc23lpba4LVxLflI/KoBm4AviMh1DvPWshBrsxn7HWXCiUqVExl74OVMjs8uMbeYjZ4fPtgwVGKgL71RO9O+gmimlTb4N4nIbuA64B+Ai1X114FLgf/gOH8tCTC+k9H73anK40NEBzPc2ydvRCS1NvBCgcw1z0BrQxVsBX5RVfet/E9VjUTkpW6y1R6rwZtqPeLwqewMS9CqQycqPOHsUYq2Q3vi7LFBDh5P/qS5eWSAUjF7Y/630gb/7tXBfcVne3qfpfaFeGxk8F53qh45sZDJB5vWU69rJka79MX4UB+lYvLHRtZ6zyzL3imnAyEGu2KAZT6ThzI4LEGrsjikQl4VCsLW0WSDrUij/3sWeRHgodEGFhKL7z92cqGamcfUOzEzX2V+Kb/5z5qkb3aOD/fRn9EpGbOZqw6EVovPWnesNGVpSOBOPexBGbJiy8hAovc0sjaa5UreBPjQmiwsvjeoqhcB/lEPypAVxYKwZTS5Hi1ZbX+HBAK8iBRF5Hsi8pX1l+5caD1pQivvWqbnqyzVcnh3dZX5pTonF/LThz/rkqpVbxjqY7Av/SES1pJEDf5qGlP+ORVajdbie0Meu0au5bD1pumZLaP9idyXy3LtHVrrB98xETkPeAnwe8BbXaYVWpt0aE1SzagqR04tpp2Nnjl8apEnnD2WdjZy7+UfuxVoXBW1MyzzwekKWlc+9Hf3trzOyEDxR1fTN7z+svYymgDX037/L+DtwJq/WhHZAewAmJiYoFwud5RQuzuzF6KFJdCIyv67Ek0X4M5Hiqk9HDM7O9vxfuqluirzi3Xn6SS1nyvAN/aXMnM1mpX93K6ZDrudnj/SeC6hvjDb8jorL7qy+F05C/DxU66HVXW3iEyttZyq7gR2AkxOTurU1JqLntHufdNMzyU7Ol9hz16ihTmGtl2caLoAz3zcZjYMpjOxQLlcptP91Ev3HZnlgSNzztNJcj8/YWKMbVuGnafTiqzs53Z1k+W8lnktLlupngP8WxF5EPhL4Pkicr2rxEJ71NuaaOB4wif0JByd86fJyaTPWYBX1Xeo6nmquh24CviGqr7CVXqhBbzQTmirVesRJyv+9TqZmV8isun8TI/40w8+sIAXWnlXm5mv4uOESFHUGPbYmF5IJMCrallVnY48GVrAC+2KZbXpef+aZ5b5XDaTLKvB51ChEF630NV8ruXOeFw2kyxvAnwpoIBXDG1ktVWiSDnl8VOfJypVm5Db9IQ3kSKkGnxIJ7NmTi3Wcjn2e6vqdWV+yX3/fuM/bwJ8XwZnU3ElpJNZMz72nlntVI6HPzbZ4U1UDCno9aUwY02WzAYwUbXPTVAmOd4E+JCCXinwNvggAnwAZTTueRMpQqrBh1TWZuYCCH4hlNG4502AD6kNPqvTgyVhsVanVve/h8liNUp88DzjH28iRUgBPuReNJWAepfYPK2mW95ExWJBgpl4O6ST2WohdR8M6WRm3PAqUoQS+EIpZzML1XCC3kLV487+JhFeRYpQAl9IPYZWCynoLdTCOZkZN7yKiMEE+IBvsoYU9EK6WjFueBUpBgIJfP2BnMiaWaqFU4MPqazGDa8iRSg1eAvwYQiprMYNZ5FCRAZF5Dsi8n0RuUdE3ucqrWUh9A8vFSXYoYJVlWo9nKC3GFBZjRvOJt0GFoHnq+qsiPQB3xaRr6rqba4SDCHAh1DGtdQi9XIWp7XU60oUabAndNM9ZwFeGwNaz8Zv++KX08MzhDb4gVIx7Sykptva+3U37e1ovQPH59FIO17/7S96ckfrAVSjiIFCuPvcdMdlDR4RKQK7gScAf6KqtzdZZgewA2BiYoJyudxxepEqlcXkeh5EC0ugEZX9dyWWZq0olB9I94CfnZ3taj91qtv9Gy10NhWeRgoo0cJcR+t38/v4h0dLpFWBT2s/p8m3MjsN8KpaB54uIuPAX4nIRap696pldgI7ASYnJ3Vqaqrj9JZqEbfce6SLHLensGcv0cIcQ9suTizNC7YM88SJscTSa6ZcLtPNfurU8bkl7tg33fH6127rbL3rbmrs52uvvLTjtDt16YWb2TjUl3i6kN5+TpNvZU5q0u0ZoAy82GU6/aWC98MVDPaFe7le83kapzVENuCY6YLLXjRnxTV3RGQIeCHQWSNmG3xvow7hPsNaAozv1CzAmy64bKI5B/hk3A5fAD6nql9xmB4Ag30FrwdpGgi4Bh+F1IUmZpNvm2647EXzT8AzXG1/LY0avL/TnQ32hVuDD3F89ACLbHrIu2jhcxt1oeB/E9SZhFiZDfGqxfSOdwF+qN/fADgYcHAHULePUWSSBXjTDf8CvMc1eJ9PXqY5i++mGxbgcyT0AG/Bzpj2eBfgB/sKiKdDdwz3OX0uzWSQr79lkwzvAryIeFuLH+z3bne1xYKdMe3xMmL42pQx3B92DV4IL8KLndVMF7wM8CMDfgbCYU+vTFoVYqwLsMimh7wM8D420Qz1F4MfFzzEAF8IsdCmZ7wM8KMe1uCHPW12akcxwBOc74PnGbe8/PkMD/gXDH08abWrGGBtNsQym97xMsAPlIqUin4dGMMW4INsogrxqsX0jpcBHvyr8Y4G3oMGoBRgsLMAb7rhbYD3rSfNiIfNTu0qFb39ua6pL8Aym97x9tfjUw1+qL8YZHBbLcQafIhlNr3jbdQYG/QnwPt0supGf2AnuUIhzKsW0zsup+w7X0S+KSJ7ROQeEbnaVVrN+NREM+rRyaobhYJ4d/P8TPqL1ixnuuOyelADrlHVpwDPBn5TRJ7qML3T9BUL3gxZMObRyapb/QHNSRtSWY0bzn5Bqvqwqt4R/30K2AOc6yq9Zjjzwl0AAAlGSURBVHxpphkb7Es7C5nh84xdq4U8wbrpjUQioIhspzE/6+1NPtsB7ACYmJigXC73LN2lWsRiLerZ9laLFpZAIyr773KWhgjcfjhbJ6rZ2dme7qd2LFQjqnV3+7SZJPZzM4+UCkzfl16QT3M/p8W3MjuPHCIyCnwReLOqnlz9uaruBHYCTE5O6tTUVM/SPja7yPf2z/Rse6sV9uwlWphjaNvFztLYPNrPJds2Odt+J8rlMr3cT+144Ogc9x2eTTTNJPZzM/9qYoxtW4YTTXOlNPdzWnwrs9PqgYj00Qjun1bVL7lMqxkfmjY2eNLM1Cs+DiS3Fl/uIZn0uOxFI8DHgT2q+iFX6ZxJfyn/N1o3DOX/JNVLPo4ztBZ7uM10y2UN/jnAK4Hni8id8esKh+k1tTHnAXKDB1chvTQSyJANhUJYVyvGDWdHi6p+mwzMV7BhsI9HTiyknY2ODPQVguo10opiQRjuLzK/VE87K06N9JdsNifTNe/7YeW5Bp/nvLvkw72V9YRQRuOe9wF+bLCU20kTLMA3t2HI/2aaEMpo3Mtp6GtdoSC5bce2AN9cCN9LCGU07nkf4CGfB0uhYDdY17JhsC+3V2WtKBXFBpgzPeHxYfJjG4fzFygbQcxusjVTKEguT9qtGh/utxuspieCCPDjQ/1pZ6Ft4zk8KSVp88hA2llwZstI/n6vJpuCCPD9pULuhg8eH7aD/Ey2jPr7/fhcNpOsIAI8wKaR/NSIRfJ53yBJYwMlBvr8+/kO9xcZDuRhLuOef0fIGjblqEY8OlCyuTjXISKcNeZfM83ZG/wrk0lPMFEkT23am60NtiUTY4NpZ6Hnzt7gX5lMeoIJ8AOlYm4GqrL299aMD/d51Uwz3F+0rrGmp/w5OlqQh5qxCGzK0dVGmkSEczb6U+M9Z3wo7SwYz4QV4HNQMx4b7KNk7e8tO2ejH0FRBK9OViYbgookeWj6yMNVRpaMDJRy1UNqLVtGB2zkUNNzQQX4/lIh8xNxW4Bv33mb0pvWrlfO2+THlYjJlqACPGQ7gBYKMG7939t29li+a7/DA0V7etU44XLKvj8XkcMicrerNDqR5QA/Ptxv4890QEQ4f3N+a8DbNg/b2DPGCZc1+E8AL3a4/Y40gmjauWjOanGdO3d8iFIxf0Gyv1TgsZ7cKDbZ43LKvltEZLur7XeqWBC2jAwwU6n+6P8+cOOejrZ14HgFjZQP3vyDjtZ/xxVPOe19lq8usq5ULHDBlhH2H59fc5ms7OeVtm8Zsas240zqdxxFZAewA2BiYoJyuZx4HnSx0tF620ahXld0ca6zdA/dc9r73Yc62kziZmdnU9lP3crKfl7p/kNwf0dbdS+v+7kbvpVZVNXdxhs1+K+o6kWtLD85Oam7du1ylh8XyuUyU1NTaWcjUVbmMFiZ80FEdqvqZLPPMtoabYwxplsW4I0xxlMuu0l+FrgVeJKIHBSR17pKyxhjzE9y2YvmV1xt2xhjzPqsicYYYzxlAd4YYzxlAd4YYzxlAd4YYzzl9EGndonIEWBf2vlo01bgaNqZSJiVOQxW5ny4QFXPavZBpgJ8HonIrrWeIvOVlTkMVub8syYaY4zxlAV4Y4zxlAX47u1MOwMpsDKHwcqcc9YGb4wxnrIavDHGeMoCvDHGeMoCfAvWm0BcGj4iIj8UkX8SkUuSzmOvtVDmKRE5ISJ3xq93J53HXhOR80XkmyKyR0TuEZGrmyzj1b5uscxe7WsRGRSR74jI9+Myv6/JMgMickO8n2/P4vSjLVFVe63zAp4HXALcvcbnVwBfBQR4NnB72nlOoMxTNGbrSj2vPSzzOcAl8d9jwL3AU33e1y2W2at9He+70fjvPuB24NmrlvkN4KPx31cBN6Sd705eVoNvgareAhw/wyJXAn+hDbcB4yJyTjK5c6OFMntHVR9W1Tviv08Be4BzVy3m1b5uscxeiffdbPy2L36t7m1yJfDJ+O8vAC8QkdzNjm4BvjfOBQ6seH8Qzw+S2GXxZe5XReSn0s5ML8WX5M+gUbtbydt9fYYyg2f7WkSKInIncBj4O1Vdcz+rag04AWxJNpfdswDfG83O7L73P72DxhgYTwP+CPjrlPPTMyIyCnwReLOqnlz9cZNVcr+v1ymzd/taVeuq+nTgPOBZInLRqkW82M8W4HvjIHD+ivfnAYdSyksiVPXk8mWuqt4I9InI1pSz1TUR6aMR6D6tql9qsoh3+3q9Mvu6rwFUdQYoAy9e9dGP9rOIlICN5LDJ0gJ8b3wZeFXcw+LZwAlVfTjtTLkkIo9ZbpMUkWfR+C0dSzdX3YnL83Fgj6p+aI3FvNrXrZTZt30tImeJyHj89xDwQmDvqsW+DPxq/PcvAd/Q+I5rnjibk9Un8QTiU8BWETkIvIfGjRlU9aPAjTR6V/wQmAdek05Oe6eFMv8S8OsiUgMqwFV5PABWeQ7wSuCuuH0W4LeBbeDtvm6lzL7t63OAT4pIkcbJ6nOq+hUR+V1gl6p+mcZJ71Mi8kMaNfer0stu52yoAmOM8ZQ10RhjjKcswBtjjKcswBtjjKcswBtjjKcswBtjjKcswBvTBRF5g4i8Ku18GNOMdZM0xhhPWQ3eBENEnhmP4T4oIiPxWOAXrVrmZfH4398Tka+LyET8/x9ZHgddRF4kIreISEFE3isib4v//00i8s9xGn+ZfAmNOZ3V4E1QROT9wCAwBBxU1Q+s+nwTMKOqKiKvA56iqteIyDDwXeC3gI8CV6jqfSLyXmBWVT8oIoeAC1V1UUTG43FOjEmNDVVgQvO7NAL1AvCmJp+fB9wQj/HeDzwAoKrzIvJrwC3AW1T1vibr/hPwaRH5azwYcdHknzXRmNBsBkZpzF40KCK/tzwVXfz5HwF/rKoXA6+nUdtfdjGNQbYeu8a2XwL8CXApsDsehdCY1FiAN6HZCbwL+DTwP1T1d1T16fHY4NAYFvah+O/l0QQRkQuAa2hMiHG5iPzrlRsVkQJwvqp+E3g7ME7jRGJMaqyGYYIRd2esqepn4pEE/1FEnq+q31ix2HuBz4vIQ8BtwIUrhtR9m6oeEpHXAp8QkWeuWK8IXC8iG2lMFvGH1gZv0mY3WY0xxlPWRGOMMZ6yAG+MMZ6yAG+MMZ6yAG+MMZ6yAG+MMZ6yAG+MMZ6yAG+MMZ76/3iKYWh+94huAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = [1,2,3,4,5,6,7,8,9]\n",
    "y = [1,2,3,4,5,4,3,2,1]\n",
    "z = [6,7,8,9,8,7,6,5,4]\n",
    "\n",
    "data = list([x,y,z])\n",
    "\n",
    "plt.violinplot(data,showmedians=True)     # Function for showing the Medians Values of the graph\n",
    "plt.title('Distribution of Data')\n",
    "plt.xlabel('x-axis')\n",
    "plt.ylabel('y-axis')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = [1,2,3,4,5,6,7,8,9]\n",
    "y = [1,2,3,4,5,4,3,2,1]\n",
    "z = [6,7,8,9,8,7,6,5,4]\n",
    "\n",
    "data = list([x,y,z])\n",
    "\n",
    "plt.violinplot(data,showmedians=True,showmeans=True)     # Function for showing the Mean Values of the graph\n",
    "plt.title('Distribution of Data')\n",
    "plt.xlabel('x-axis')\n",
    "plt.ylabel('y-axis')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Area Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Area plot\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "X = [10,20,30,40,50,60,70,80,90]\n",
    "Y = [1,2,5,6,3,4,7,5,9]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "X = [10,20,30,40,50,60,70,80,90]\n",
    "Y = [1,2,5,6,3,4,7,5,9]\n",
    "\n",
    "plt.stackplot(X,Y)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = [10,20,30,40,50,60,70,80,90]\n",
    "y = [1,2,5,6,3,4,7,5,9]\n",
    "\n",
    "plt.stackplot(x,y)\n",
    "plt.plot(x,y)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "x = [10,20,30,40,50,60,70,80,90]\n",
    "y = [1,2,5,6,3,4,7,5,9]\n",
    "\n",
    "plt.stackplot(x,y,colors='r')       # Changing color of the plot\n",
    "plt.plot(x,y)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = [10,20,30,40,50,60,70,80,90]\n",
    "y = [1,2,5,6,3,4,7,5,9]\n",
    "\n",
    "plt.stackplot(x,y,colors='blue')\n",
    "plt.plot(x,y,color='r')               # Used for analyse the data in the peak values\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MatPlot has completed \n",
    "## if you face any difficulties kindly reach to my e-mail\n",
    "## shaiknoormohammedsadiq@gmail.com"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# THANK YOU"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}