Ordinal Number Encoding.ipynb

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   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temperature</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Hot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Very Hot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Warm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hot</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "  Temperature\n",
       "0         Hot\n",
       "1        Cold\n",
       "2    Very Hot\n",
       "3        Warm\n",
       "4         Hot"
      ]
     },
     "execution_count": 2,
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   "source": [
    "data={'Temperature':['Hot','Cold','Very Hot','Warm','Hot','Warm','Warm','Hot','Hot','Cold']}\n",
    "dataset=pd.DataFrame(data,columns=['Temperature'])\n",
    "dataset.head()"
   ]
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   "execution_count": 3,
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temperature</th>\n",
       "      <th>Temperature_Ordinal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Hot</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cold</td>\n",
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       "      <td>Very Hot</td>\n",
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       "      <th>3</th>\n",
       "      <td>Warm</td>\n",
       "      <td>2</td>\n",
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       "      <th>4</th>\n",
       "      <td>Hot</td>\n",
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       "      <th>5</th>\n",
       "      <td>Warm</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Warm</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Hot</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Hot</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Cold</td>\n",
       "      <td>1</td>\n",
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      "text/plain": [
       "  Temperature  Temperature_Ordinal\n",
       "0         Hot                    3\n",
       "1        Cold                    1\n",
       "2    Very Hot                    4\n",
       "3        Warm                    2\n",
       "4         Hot                    3\n",
       "5        Warm                    2\n",
       "6        Warm                    2\n",
       "7         Hot                    3\n",
       "8         Hot                    3\n",
       "9        Cold                    1"
      ]
     },
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   "source": [
    "mapping_dictionary_value={'Cold':1,'Warm':2,'Hot':3,'Very Hot':4}\n",
    "dataset['Temperature_Ordinal']=dataset.Temperature.map(mapping_dictionary_value)\n",
    "dataset"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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