datasets_iris.ipynb

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    "# The Iris Dataset\n",
    "* **[T81-558: Applications of Deep Learning](https://sites.wustl.edu/jeffheaton/t81-558/)**\n",
    "* Dataset provided by [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/Iris)\n",
    "* [Download Here](https://data.heatonresearch.com/data/t81-558/iris.csv)\n",
    "\n",
    "This is a classic dataset that contains four measurements for 150 different [iris flowers](https://en.wikipedia.org/wiki/Iris_(plant)).  Three species are represented, 50 flowers from each.  There are no missing values. The following fields are present:\n",
    "\n",
    "* **sepal_l** - The sepal length in cm.\n",
    "* **sepal_w** - The sepal width in cm.\n",
    "* **petal_l** - The petal length in cm.\n",
    "* **petal_w** - The petal width in cm.\n",
    "* **species** - The type of flower. (Iris Setosa, Iris Versicolour, or Iris Virginica)\n",
    "\n",
    "The following code shows 10 sample rows."
   ]
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_l</th>\n",
       "      <th>sepal_w</th>\n",
       "      <th>petal_l</th>\n",
       "      <th>petal_w</th>\n",
       "      <th>species</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>Iris-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>Iris-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>Iris-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>Iris-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>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_l  sepal_w  petal_l  petal_w      species\n",
       "0      5.1      3.5      1.4      0.2  Iris-setosa\n",
       "1      4.9      3.0      1.4      0.2  Iris-setosa\n",
       "2      4.7      3.2      1.3      0.2  Iris-setosa\n",
       "3      4.6      3.1      1.5      0.2  Iris-setosa\n",
       "4      5.0      3.6      1.4      0.2  Iris-setosa\n",
       "5      5.4      3.9      1.7      0.4  Iris-setosa\n",
       "6      4.6      3.4      1.4      0.3  Iris-setosa\n",
       "7      5.0      3.4      1.5      0.2  Iris-setosa\n",
       "8      4.4      2.9      1.4      0.2  Iris-setosa\n",
       "9      4.9      3.1      1.5      0.1  Iris-setosa"
      ]
     },
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   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "path = \"./data/\"\n",
    "    \n",
    "filename = os.path.join(path,\"iris.csv\")\n",
    "df = pd.read_csv(filename,na_values=['NA','?'])\n",
    "# Shuffle lines\n",
    "np.random.seed(42) # Uncomment this line to get the same shuffle each time\n",
    "df = df.reindex(np.random.permutation(df.index))\n",
    "df.reset_index(inplace=True, drop=True)\n",
    "\n",
    "df[0:10]"
   ]
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