Module_06.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "y2qRz-CVIkvQ"
      },
      "outputs": [],
      "source": [
        "from tkinter import *\n",
        "import numpy as np\n",
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lGixrEq2Ikvh"
      },
      "outputs": [],
      "source": [
        "df = pd.read_csv(\"re.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Y4mufvZcIkvj",
        "outputId": "8083fecc-a6cc-47a2-cd91-e5f5276a3069"
      },
      "outputs": [
        {
          "data": {
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              "<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>Above_1_ton_per_hec</th>\n",
              "      <th>Below_1_ton_per_hec</th>\n",
              "      <th>Above_3_tons_per_hec</th>\n",
              "      <th>Above_100_tons_per_hec</th>\n",
              "      <th>Above_70_tons_per_hec</th>\n",
              "      <th>Above_40_tons_per_hec</th>\n",
              "      <th>Above_6_tons_per_hec</th>\n",
              "      <th>Above_50_tons_per_hec</th>\n",
              "      <th>Above_10_tons_per_hec</th>\n",
              "      <th>Below_20000_hec</th>\n",
              "      <th>...</th>\n",
              "      <th>Summer</th>\n",
              "      <th>Winter</th>\n",
              "      <th>TA50</th>\n",
              "      <th>TA60</th>\n",
              "      <th>TA80</th>\n",
              "      <th>HB25</th>\n",
              "      <th>HA25</th>\n",
              "      <th>HA60</th>\n",
              "      <th>HA80</th>\n",
              "      <th>Crop</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Sugercane</td>\n",
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              "    <tr>\n",
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              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Rice</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
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              "      <td>1</td>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Sugercane</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Tobacco</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Rice</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Wheat</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>9</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Rice</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>10</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Coconut</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Yam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Wheat</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>13</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Sweetpotato</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Wheat</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <td>0</td>\n",
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              "      <td>Rice</td>\n",
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              "    <tr>\n",
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              "      <td>Wheat</td>\n",
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              "    <tr>\n",
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              "      <td>0</td>\n",
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              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Sweetpotato</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>18</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Yam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>19</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>Yam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>20</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>Coconut</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <td>1</td>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Turmeric</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>22</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>WaterMelon</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>23</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Turmeric</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>24</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Tobacco</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>25</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>WaterMelon</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>26</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Tapioca</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>27</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Turmeric</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>28</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Urad</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>29</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Tapioca</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>30</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Varagu</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>31</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Tobacco</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>32</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Turmeric</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>33</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>Sweetpotato</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>34</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>WaterMelon</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>35 rows × 59 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "    Above_1_ton_per_hec  Below_1_ton_per_hec  Above_3_tons_per_hec  \\\n",
              "0                     1                    0                     0   \n",
              "1                     0                    1                     0   \n",
              "2                     0                    1                     0   \n",
              "3                     0                    0                     0   \n",
              "4                     0                    0                     0   \n",
              "5                     0                    0                     0   \n",
              "6                     0                    0                     1   \n",
              "7                     0                    0                     0   \n",
              "8                     0                    0                     0   \n",
              "9                     0                    0                     0   \n",
              "10                    0                    0                     0   \n",
              "11                    1                    0                     0   \n",
              "12                    0                    0                     0   \n",
              "13                    0                    1                     0   \n",
              "14                    0                    0                     0   \n",
              "15                    0                    0                     0   \n",
              "16                    0                    0                     0   \n",
              "17                    0                    0                     1   \n",
              "18                    0                    0                     0   \n",
              "19                    0                    0                     0   \n",
              "20                    0                    0                     0   \n",
              "21                    1                    0                     0   \n",
              "22                    0                    0                     0   \n",
              "23                    0                    0                     0   \n",
              "24                    1                    0                     0   \n",
              "25                    0                    0                     1   \n",
              "26                    0                    0                     0   \n",
              "27                    0                    0                     0   \n",
              "28                    0                    0                     0   \n",
              "29                    0                    0                     0   \n",
              "30                    0                    0                     0   \n",
              "31                    0                    0                     0   \n",
              "32                    0                    0                     1   \n",
              "33                    0                    0                     0   \n",
              "34                    0                    1                     0   \n",
              "\n",
              "    Above_100_tons_per_hec  Above_70_tons_per_hec  Above_40_tons_per_hec  \\\n",
              "0                        0                      0                      0   \n",
              "1                        0                      0                      0   \n",
              "2                        0                      0                      0   \n",
              "3                        1                      0                      0   \n",
              "4                        1                      0                      0   \n",
              "5                        0                      0                      1   \n",
              "6                        0                      0                      0   \n",
              "7                        0                      0                      0   \n",
              "8                        0                      0                      0   \n",
              "9                        0                      0                      1   \n",
              "10                       0                      0                      0   \n",
              "11                       0                      0                      0   \n",
              "12                       0                      0                      1   \n",
              "13                       0                      0                      0   \n",
              "14                       0                      0                      0   \n",
              "15                       0                      0                      0   \n",
              "16                       0                      1                      0   \n",
              "17                       0                      0                      0   \n",
              "18                       0                      0                      1   \n",
              "19                       0                      0                      0   \n",
              "20                       1                      0                      0   \n",
              "21                       0                      0                      0   \n",
              "22                       0                      0                      0   \n",
              "23                       1                      0                      0   \n",
              "24                       0                      0                      0   \n",
              "25                       0                      0                      0   \n",
              "26                       0                      0                      0   \n",
              "27                       0                      0                      0   \n",
              "28                       1                      0                      0   \n",
              "29                       0                      1                      0   \n",
              "30                       0                      0                      1   \n",
              "31                       0                      0                      0   \n",
              "32                       0                      0                      0   \n",
              "33                       1                      0                      0   \n",
              "34                       0                      0                      0   \n",
              "\n",
              "    Above_6_tons_per_hec  Above_50_tons_per_hec  Above_10_tons_per_hec  \\\n",
              "0                      0                      0                      0   \n",
              "1                      0                      0                      0   \n",
              "2                      0                      0                      0   \n",
              "3                      0                      0                      0   \n",
              "4                      0                      0                      0   \n",
              "5                      0                      0                      0   \n",
              "6                      0                      0                      0   \n",
              "7                      1                      0                      0   \n",
              "8                      0                      1                      0   \n",
              "9                      0                      0                      0   \n",
              "10                     0                      0                      1   \n",
              "11                     0                      0                      0   \n",
              "12                     0                      0                      0   \n",
              "13                     0                      0                      0   \n",
              "14                     0                      0                      1   \n",
              "15                     1                      0                      0   \n",
              "16                     0                      0                      0   \n",
              "17                     0                      0                      0   \n",
              "18                     0                      0                      0   \n",
              "19                     0                      1                      0   \n",
              "20                     0                      0                      0   \n",
              "21                     0                      0                      0   \n",
              "22                     0                      0                      1   \n",
              "23                     0                      0                      0   \n",
              "24                     0                      0                      0   \n",
              "25                     0                      0                      0   \n",
              "26                     1                      0                      0   \n",
              "27                     0                      0                      1   \n",
              "28                     0                      0                      0   \n",
              "29                     0                      0                      0   \n",
              "30                     0                      0                      0   \n",
              "31                     0                      1                      0   \n",
              "32                     0                      0                      0   \n",
              "33                     0                      0                      0   \n",
              "34                     0                      0                      0   \n",
              "\n",
              "    Below_20000_hec  ...  Summer  Winter  TA50  TA60  TA80  HB25  HA25  HA60  \\\n",
              "0                 1  ...       1       0     1     0     0     1     0     0   \n",
              "1                 0  ...       0       0     0     0     1     0     1     0   \n",
              "2                 1  ...       0       0     0     1     0     1     0     0   \n",
              "3                 0  ...       0       1     0     0     0     0     0     1   \n",
              "4                 0  ...       0       0     0     1     0     0     0     0   \n",
              "5                 0  ...       0       0     1     0     0     0     1     0   \n",
              "6                 0  ...       0       0     0     1     0     0     1     0   \n",
              "7                 0  ...       0       0     0     1     0     0     0     1   \n",
              "8                 0  ...       1       0     0     0     1     0     0     0   \n",
              "9                 1  ...       0       1     1     0     0     0     0     1   \n",
              "10                0  ...       0       0     0     1     0     0     1     0   \n",
              "11                1  ...       0       0     1     0     0     0     0     1   \n",
              "12                0  ...       0       0     0     0     1     0     1     0   \n",
              "13                1  ...       0       0     0     1     0     0     0     0   \n",
              "14                0  ...       1       0     1     0     0     0     0     0   \n",
              "15                0  ...       0       0     0     0     1     1     0     0   \n",
              "16                0  ...       1       0     0     0     1     0     0     1   \n",
              "17                0  ...       0       0     0     1     0     1     0     0   \n",
              "18                1  ...       0       0     0     0     1     0     0     0   \n",
              "19                0  ...       0       0     1     0     0     0     0     1   \n",
              "20                0  ...       0       0     0     1     0     1     0     0   \n",
              "21                0  ...       0       0     0     0     1     0     0     1   \n",
              "22                0  ...       0       0     0     1     0     0     1     0   \n",
              "23                1  ...       0       0     1     0     0     0     0     1   \n",
              "24                0  ...       0       0     0     1     0     0     0     0   \n",
              "25                1  ...       0       0     0     1     0     0     0     0   \n",
              "26                0  ...       0       0     1     0     0     0     0     0   \n",
              "27                0  ...       1       0     1     0     0     0     0     1   \n",
              "28                0  ...       0       0     0     0     1     0     1     0   \n",
              "29                1  ...       0       0     0     1     0     0     1     0   \n",
              "30                0  ...       0       0     1     0     0     1     0     0   \n",
              "31                0  ...       0       0     0     0     1     0     1     0   \n",
              "32                0  ...       1       0     1     0     0     0     1     0   \n",
              "33                0  ...       0       0     0     0     1     0     0     1   \n",
              "34                0  ...       0       0     0     0     1     0     0     1   \n",
              "\n",
              "    HA80         Crop  \n",
              "0      1    Sugercane  \n",
              "1      0         Rice  \n",
              "2      0    Sugercane  \n",
              "3      0         Rice  \n",
              "4      1      Tobacco  \n",
              "5      0         Rice  \n",
              "6      0        Wheat  \n",
              "7      0         Rice  \n",
              "8      1        Wheat  \n",
              "9      0         Rice  \n",
              "10     0      Coconut  \n",
              "11     0          Yam  \n",
              "12     0        Wheat  \n",
              "13     1  Sweetpotato  \n",
              "14     1        Wheat  \n",
              "15     0         Rice  \n",
              "16     0        Wheat  \n",
              "17     0  Sweetpotato  \n",
              "18     1          Yam  \n",
              "19     0          Yam  \n",
              "20     0      Coconut  \n",
              "21     0     Turmeric  \n",
              "22     0   WaterMelon  \n",
              "23     0     Turmeric  \n",
              "24     1      Tobacco  \n",
              "25     1   WaterMelon  \n",
              "26     0      Tapioca  \n",
              "27     0     Turmeric  \n",
              "28     0         Urad  \n",
              "29     0      Tapioca  \n",
              "30     0       Varagu  \n",
              "31     0      Tobacco  \n",
              "32     0     Turmeric  \n",
              "33     0  Sweetpotato  \n",
              "34     0   WaterMelon  \n",
              "\n",
              "[35 rows x 59 columns]"
            ]
          },
          "execution_count": 37,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0JpuduoZIkv7",
        "outputId": "5c35f2b1-64d4-431d-ea8a-49afffdc0064"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(35, 59)"
            ]
          },
          "execution_count": 38,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "zov6bqQPIkwF",
        "outputId": "fbd815d1-7c6b-43f2-b3c4-06152b67bd7d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Index(['Above_1_ton_per_hec', 'Below_1_ton_per_hec', 'Above_3_tons_per_hec',\n",
              "       'Above_100_tons_per_hec', 'Above_70_tons_per_hec',\n",
              "       'Above_40_tons_per_hec', 'Above_6_tons_per_hec',\n",
              "       'Above_50_tons_per_hec', 'Above_10_tons_per_hec', 'Below_20000_hec',\n",
              "       'Above_20000_hec', 'Above_40000_hec', 'Above_80000_hec',\n",
              "       'Andaman and Nicobar Islands', 'Andhra Pradesh', 'Arunachal Pradesh',\n",
              "       'Assam', 'Bihar', 'Chandigarh', 'Chhattisgarh',\n",
              "       'Dadra and Nagar Haveli', 'Goa', 'Gujarat', 'Haryana',\n",
              "       'Himachal Pradesh', 'Jammu and Kashmir', 'Jharkhand', 'Karnataka',\n",
              "       'Kerala', 'Madhya Pradesh', 'Maharashtra', 'Manipur', 'Meghalaya',\n",
              "       'Mizoram', 'Nagaland', 'Odisha', 'Puducherry', 'Punjab', 'Rajasthan',\n",
              "       'Sikkim', 'Tamil Nadu', 'Telangana', 'Tripura', 'Uttar Pradesh',\n",
              "       'Uttarakhand', 'Kharif', 'Whole year', 'Rabi', 'Autumn', 'Summer',\n",
              "       'Winter', 'TA50', 'TA60', 'TA80', 'HB25', 'HA25', 'HA60', 'HA80',\n",
              "       'Crop'],\n",
              "      dtype='object')"
            ]
          },
          "execution_count": 39,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "07kSmlcaIkwI"
      },
      "outputs": [],
      "source": [
        "l1=['Above_1_ton_per_hec', 'Below_1_ton_per_hec', 'Above_3_tons_per_hec',\n",
        "       'Above_100_tons_per_hec', 'Above_70_tons_per_hec',\n",
        "       'Above_40_tons_per_hec', 'Above_6_tons_per_hec',\n",
        "       'Above_50_tons_per_hec', 'Above_10_tons_per_hec']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "aCjLG8PmIkwT"
      },
      "outputs": [],
      "source": [
        "l2=['Below_20000_hec',\n",
        "       'Above_20000_hec', 'Above_40000_hec', 'Above_80000_hec']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4zuhABrnIkwY"
      },
      "outputs": [],
      "source": [
        "l3=[ 'Andaman and Nicobar Islands', 'Andhra Pradesh', 'Arunachal Pradesh',\n",
        "       'Assam', 'Bihar', 'Chandigarh', 'Chhattisgarh',\n",
        "       'Dadra and Nagar Haveli', 'Goa', 'Gujarat', 'Haryana',\n",
        "       'Himachal Pradesh', 'Jammu and Kashmir', 'Jharkhand', 'Karnataka',\n",
        "       'Kerala', 'Madhya Pradesh', 'Maharashtra', 'Manipur', 'Meghalaya',\n",
        "       'Mizoram', 'Nagaland', 'Odisha', 'Puducherry', 'Punjab', 'Rajasthan',\n",
        "       'Sikkim', 'Tamil Nadu', 'Telangana', 'Tripura', 'Uttar Pradesh',\n",
        "       'Uttarakhand']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "sa9ZoXq-Ikwa"
      },
      "outputs": [],
      "source": [
        "l4=['Kharif', 'Whole year', 'Rabi', 'Autumn', 'Summer',\n",
        "       'Winter']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "zrjf5m1QIkwj"
      },
      "outputs": [],
      "source": [
        "l5=['TA50', 'TA60', 'TA80']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "alOQ8m7YIkwk"
      },
      "outputs": [],
      "source": [
        "l6=['HB25', 'HA25', 'HA60', 'HA80']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1KebZtg_Ikwl",
        "outputId": "8b337586-7610-45a0-b90f-716c2ed67482"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array(['Sugercane', 'Rice', 'Tobacco', 'Wheat', 'Coconut', 'Yam',\n",
              "       'Sweetpotato', 'Turmeric', 'WaterMelon', 'Tapioca', 'Urad',\n",
              "       'Varagu'], dtype=object)"
            ]
          },
          "execution_count": 46,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df['Crop'].unique()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "s_o7Q0ZhIkwo"
      },
      "outputs": [],
      "source": [
        "cropyc=['Sugercane', 'Rice', 'Tobacco', 'Wheat', 'Coconut', 'Yam',\n",
        "       'Sweetpotato', 'Turmeric', 'WaterMelon', 'Tapioca', 'Urad',\n",
        "       'Varagu']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "92cCsa0wIkws"
      },
      "outputs": [],
      "source": [
        "l7=['Above_1_ton_per_hec', 'Below_1_ton_per_hec', 'Above_3_tons_per_hec',\n",
        "       'Above_100_tons_per_hec', 'Above_70_tons_per_hec',\n",
        "       'Above_40_tons_per_hec', 'Above_6_tons_per_hec',\n",
        "       'Above_50_tons_per_hec', 'Above_10_tons_per_hec', 'Below_20000_hec',\n",
        "       'Above_20000_hec', 'Above_40000_hec', 'Above_80000_hec',\n",
        "       'Andaman and Nicobar Islands', 'Andhra Pradesh', 'Arunachal Pradesh',\n",
        "       'Assam', 'Bihar', 'Chandigarh', 'Chhattisgarh',\n",
        "       'Dadra and Nagar Haveli', 'Goa', 'Gujarat', 'Haryana',\n",
        "       'Himachal Pradesh', 'Jammu and Kashmir', 'Jharkhand', 'Karnataka',\n",
        "       'Kerala', 'Madhya Pradesh', 'Maharashtra', 'Manipur', 'Meghalaya',\n",
        "       'Mizoram', 'Nagaland', 'Odisha', 'Puducherry', 'Punjab', 'Rajasthan',\n",
        "       'Sikkim', 'Tamil Nadu', 'Telangana', 'Tripura', 'Uttar Pradesh',\n",
        "       'Uttarakhand', 'Kharif', 'Whole year', 'Rabi', 'Autumn', 'Summer',\n",
        "       'Winter', 'TA50', 'TA60', 'TA80', 'HB25', 'HA25', 'HA60', 'HA80']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AGDdrEksIkwv"
      },
      "outputs": [],
      "source": [
        "l8=[]\n",
        "for x in range(0,len(l7)):\n",
        "    l8.append(0)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "WGavYgffIkww"
      },
      "outputs": [],
      "source": [
        "df.replace({'Crop':{'Sugercane':0, 'Rice':1, 'Tobacco':2, 'Wheat':3, 'Coconut':4, 'Yam':5,\n",
        "       'Sweetpotato':6, 'Turmeric':7, 'WaterMelon':8, 'Tapioca':9, 'Urad':10,\n",
        "       'Varagu':11}},inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ungJELHLIkwx",
        "outputId": "7aed90c8-ab69-4139-9526-0678dbbdedf1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([ 0,  1,  0,  1,  2,  1,  3,  1,  3,  1,  4,  5,  3,  6,  3,  1,  3,\n",
              "        6,  5,  5,  4,  7,  8,  7,  2,  8,  9,  7, 10,  9, 11,  2,  7,  6,\n",
              "        8], dtype=int64)"
            ]
          },
          "execution_count": 51,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X= df[l7]\n",
        "\n",
        "\n",
        "y = df[[\"Crop\"]]\n",
        "np.ravel(y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "swy6NO48Ikwz"
      },
      "outputs": [],
      "source": [
        "# TRAINING DATA tr --------------------------------------------------------------------------------\n",
        "tr=pd.read_csv(\"tere.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VlRWWLL4Ikw1",
        "outputId": "42f66959-ef62-44ec-f696-b654e192fc12"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array(['Rice', 'Wheat', 'Coconut', 'Yam', 'Rice', 'Coconut', 'Rice',\n",
              "       'Sugercane', 'Rice', 'WaterMelon', 'Tobacco', 'Sweetpotato',\n",
              "       'Sugercane', 'Turmeric', 'Sugercane', 'WaterMelon', 'Yam',\n",
              "       'Tobacco', 'Turmeric', 'Tapioca', 'Turmeric', 'Urad', 'Varagu',\n",
              "       'Sugercane'], dtype=object)"
            ]
          },
          "execution_count": 53,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X_test= tr[l7]\n",
        "y_test = tr[[\"Crop\"]]\n",
        "np.ravel(y_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6tSSoDJJIkw2"
      },
      "outputs": [],
      "source": [
        "def randomforest():\n",
        "    from sklearn.ensemble import RandomForestClassifier\n",
        "    clf4 = RandomForestClassifier()\n",
        "    clf4 = clf4.fit(X,np.ravel(y))\n",
        "\n",
        "    # calculating accuracy-------------------------------------------------------------------\n",
        "    from sklearn.metrics import accuracy_score\n",
        "    y_pred=clf4.predict(X_test)\n",
        "    print(accuracy_score(y_test, y_pred))\n",
        "    print(accuracy_score(y_test, y_pred,normalize=False))\n",
        "    # -----------------------------------------------------\n",
        "\n",
        "    terms = [State.get(),Season.get(),Tl.get(),Hl.get(),Yl.get()]\n",
        "\n",
        "    for k in range(0,len(l7)):\n",
        "        for z in terms:\n",
        "            if(z==l7[k]):\n",
        "                l8[k]=1\n",
        "\n",
        "    inputtest = [l8]\n",
        "    predict = clf4.predict(inputtest)\n",
        "    predicted=predict[0]\n",
        "\n",
        "    h='no'\n",
        "    for a in range(0,len(cropyc)):\n",
        "        if(predicted == a):\n",
        "            h='yes'\n",
        "            break\n",
        "\n",
        "    if (h=='yes'):\n",
        "        t2.delete(\"1.0\", END)\n",
        "        t2.insert(END, cropyc[a])\n",
        "    else:\n",
        "        t2.delete(\"1.0\", END)\n",
        "        t2.insert(END, \"Not Found\")\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0gTgzmcmIkw3",
        "outputId": "c979daff-d7f8-45f6-9375-9c4d63d3e96d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "''"
            ]
          },
          "execution_count": 55,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "\n",
        "root = Tk()\n",
        "root.title(\"Indian Crop Prediction\")\n",
        "#root.configure(background='black')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "kiCawYYTIkw5",
        "outputId": "f4efe0f5-fb09-408b-adbb-eefcae4ca4dd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "execution_count": 56,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "\n",
        "canvas = Canvas(root,width=1880,height=1253)\n",
        "canvas.pack()\n",
        "photo = PhotoImage(file ='im3.png')\n",
        "canvas.create_image(0,0,image=photo,anchor=NW)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "UI9CVzSUIkw8"
      },
      "outputs": [],
      "source": [
        "# gui_stuff------------------------------------------------------------------------------------\n",
        "\n",
        "\n",
        "# entry variables\n",
        "\n",
        "State = StringVar()\n",
        "State.set(None)\n",
        "\n",
        "Season = StringVar()\n",
        "Season.set(None)\n",
        "\n",
        "Tl = StringVar()\n",
        "Tl.set(None)\n",
        "\n",
        "Hl = StringVar()\n",
        "Hl.set(None)\n",
        "\n",
        "Yl = StringVar()\n",
        "Yl.set(None)\n",
        "\n",
        "Yc = StringVar()\n",
        "Yc.set(None)\n",
        "\n",
        "fn= StringVar()\n",
        "vn= StringVar()\n",
        "dn=StringVar()\n",
        "rl= IntVar()\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0nDR17NPIkw_"
      },
      "outputs": [],
      "source": [
        "\n",
        "# Heading\n",
        "w2 = Label(canvas, justify=LEFT, text=\"Crop Prediction using Machine Learning\", fg=\"white\", bg=\"red\")\n",
        "w2.config(font=(\"Elephant\", 20))\n",
        "w2.grid(row=1, column=0, columnspan=2, padx=100)\n",
        "w2 = Label(canvas, justify=LEFT, text=\"Indian Agricultural Department\", fg=\"green\")\n",
        "w2.config(font=(\"Times Roman\", 15))\n",
        "w2.grid(row=2, column=0, columnspan=2, padx=100)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Y7XzZS6ZIkxA"
      },
      "outputs": [],
      "source": [
        "# labels\n",
        "FNLb = Label(canvas, text=\"Farmer Name\",fg=\"yellow\", bg=\"black\")\n",
        "FNLb.grid(row=5, column=0, pady=15, sticky=W)\n",
        "\n",
        "VNLb = Label(canvas, text=\"Village Name\",fg=\"yellow\", bg=\"black\")\n",
        "VNLb.grid(row=6, column=0, pady=15, sticky=W)\n",
        "\n",
        "DNLb = Label(canvas, text=\"District Name\",fg=\"yellow\", bg=\"black\")\n",
        "DNLb.grid(row=7, column=0, pady=15, sticky=W)\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "z57-qvOAIkxC"
      },
      "outputs": [],
      "source": [
        "# labels\n",
        "stLb = Label(canvas, text=\"State Name\",fg=\"yellow\", bg=\"black\")\n",
        "stLb.grid(row=8, column=0, pady=15, sticky=W)\n",
        "\n",
        "seLb = Label(canvas, text=\"Season Details\",fg=\"yellow\", bg=\"black\")\n",
        "seLb.grid(row=9, column=0, pady=15, sticky=W)\n",
        "\n",
        "tlLb = Label(canvas, text=\"Temperature Level\",fg=\"yellow\", bg=\"black\")\n",
        "tlLb.grid(row=5, column=1, pady=15, sticky=W)\n",
        "\n",
        "hlLb = Label(canvas, text=\"Humidity Level\",fg=\"yellow\", bg=\"black\")\n",
        "hlLb.grid(row=6, column=1, pady=15, sticky=W)\n",
        "\n",
        "ylLb = Label(canvas, text=\"Yield level (per Hectare)\",fg=\"yellow\", bg=\"black\")\n",
        "ylLb.grid(row=7, column=1, pady=15, sticky=W)\n",
        "\n",
        "ycLb = Label(canvas, text=\"Yield cost amount  (per Hectare)\",fg=\"yellow\", bg=\"black\")\n",
        "ycLb.grid(row=8, column=1, pady=15, sticky=W)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Z5ZnJf_wIkxD"
      },
      "outputs": [],
      "source": [
        "\n",
        "\n",
        "\n",
        "ranfLb = Label(canvas, text=\"RF\", fg=\"white\", bg=\"red\")\n",
        "ranfLb.grid(row=15, column=0, pady=10, sticky=W)\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "JHScc0QtIkxE"
      },
      "outputs": [],
      "source": [
        "# entries\n",
        "OPTIONS1 = sorted(l1)\n",
        "OPTIONS2 = sorted(l2)\n",
        "OPTIONS3 = sorted(l3)\n",
        "OPTIONS4 = sorted(l4)\n",
        "OPTIONS5 = sorted(l5)\n",
        "OPTIONS6 = sorted(l6)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "545CkZ51IkxG"
      },
      "outputs": [],
      "source": [
        "\n",
        "FNEn = Entry(canvas, textvariable=fn)\n",
        "FNEn.grid(row=5, column=0)\n",
        "\n",
        "VNEn = Entry(canvas, textvariable=vn)\n",
        "VNEn.grid(row=6, column=0)\n",
        "\n",
        "DNEn = Entry(canvas, textvariable=dn)\n",
        "DNEn.grid(row=7, column=0)\n",
        "\n",
        "stEn = OptionMenu(canvas, State,*OPTIONS3)\n",
        "stEn.grid(row=8, column=0)\n",
        "\n",
        "seEn = OptionMenu(canvas, Season,*OPTIONS4)\n",
        "seEn.grid(row=9, column=0)\n",
        "\n",
        "tlEn = OptionMenu(canvas, Tl,*OPTIONS5)\n",
        "tlEn.grid(row=5, column=1)\n",
        "\n",
        "hlEn = OptionMenu(canvas, Hl,*OPTIONS6)\n",
        "hlEn.grid(row=6, column=1)\n",
        "\n",
        "ylEn = OptionMenu(canvas, Yl,*OPTIONS1)\n",
        "ylEn.grid(row=7, column=1)\n",
        "\n",
        "ycEn = OptionMenu(canvas, Yc,*OPTIONS2)\n",
        "ycEn.grid(row=8, column=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "iNMAfoDpIkxI"
      },
      "outputs": [],
      "source": [
        "\n",
        "\n",
        "\n",
        "rnf = Button(canvas, text=\"Check the result\", command=randomforest,bg=\"cyan\",fg=\"green\")\n",
        "rnf.grid(row=15, column=1,padx=10)\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ftpTQSqkIkxJ",
        "outputId": "e3377416-7ca7-4ac5-c7b3-f9d9f1b7e09a"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\SPIRO-PYTHON\\Anaconda3\\lib\\site-packages\\sklearn\\ensemble\\forest.py:245: FutureWarning: The default value of n_estimators will change from 10 in version 0.20 to 100 in 0.22.\n",
            "  \"10 in version 0.20 to 100 in 0.22.\", FutureWarning)\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0.0\n",
            "0\n"
          ]
        }
      ],
      "source": [
        "\n",
        "#textfileds\n",
        "t2 = Text(canvas, height=1, width=40,bg=\"orange\",fg=\"black\")\n",
        "t2.grid(row=15, column=0 , padx=10)\n",
        "\n",
        "\n",
        "root.mainloop()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "yFaks6q5IkxM"
      },
      "outputs": [],
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "HZZBVQ2QIkxM"
      },
      "outputs": [],
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "eOBY8b2EIkxN"
      },
      "outputs": [],
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "3u3xCpLOIkxN"
      },
      "outputs": [],
      "source": [
        ""
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "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": "3.8.12"
    },
    "colab": {
      "name": "Module_06_CYCC.ipynb",
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}