PMS_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>day</th>\n",
       "      <th>Humidity(%)</th>\n",
       "      <th>Tmax(oC)</th>\n",
       "      <th>Tmin(oc)</th>\n",
       "      <th>Rain(mm)</th>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>94.7</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>100.0</td>\n",
       "      <td>16.4</td>\n",
       "      <td>2.5</td>\n",
       "      <td>9.9</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>98.4</td>\n",
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       "      <td>2.3</td>\n",
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       "      <td>0.0</td>\n",
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       "      <th>4</th>\n",
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       "      <td>96.8</td>\n",
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       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>357</td>\n",
       "      <td>94.2</td>\n",
       "      <td>20.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>358</td>\n",
       "      <td>95.6</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.7</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>359</td>\n",
       "      <td>91.1</td>\n",
       "      <td>19.2</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>360</td>\n",
       "      <td>96.9</td>\n",
       "      <td>19.1</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>360 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     day  Humidity(%)  Tmax(oC)  Tmin(oc)  Rain(mm)\n",
       "0      1         94.7      13.0       5.6       0.0\n",
       "1      2        100.0      16.4       2.5       9.9\n",
       "2      3         98.4      22.0       2.3       0.3\n",
       "3      4         98.4      19.5       1.0       0.0\n",
       "4      5         96.8      20.0       1.4       0.0\n",
       "..   ...          ...       ...       ...       ...\n",
       "355  356         95.4      20.5       2.7       0.0\n",
       "356  357         94.2      20.5       3.0       0.0\n",
       "357  358         95.6      20.0       3.7       0.0\n",
       "358  359         91.1      19.2       2.2       0.0\n",
       "359  360         96.9      19.1       1.4       0.0\n",
       "\n",
       "[360 rows x 5 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.read_csv('data/data.csv')\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Humidity(%)</th>\n",
       "      <th>Tmax(oC)</th>\n",
       "      <th>Tmin(oc)</th>\n",
       "      <th>Rain(mm)</th>\n",
       "    </tr>\n",
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       "      <th>day</th>\n",
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       "      <td>94.7</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>94.2</td>\n",
       "      <td>20.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>95.6</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.7</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>91.1</td>\n",
       "      <td>19.2</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>96.9</td>\n",
       "      <td>19.1</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>360 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Humidity(%)  Tmax(oC)  Tmin(oc)  Rain(mm)\n",
       "day                                           \n",
       "1           94.7      13.0       5.6       0.0\n",
       "2          100.0      16.4       2.5       9.9\n",
       "3           98.4      22.0       2.3       0.3\n",
       "4           98.4      19.5       1.0       0.0\n",
       "5           96.8      20.0       1.4       0.0\n",
       "..           ...       ...       ...       ...\n",
       "356         95.4      20.5       2.7       0.0\n",
       "357         94.2      20.5       3.0       0.0\n",
       "358         95.6      20.0       3.7       0.0\n",
       "359         91.1      19.2       2.2       0.0\n",
       "360         96.9      19.1       1.4       0.0\n",
       "\n",
       "[360 rows x 4 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = df1.set_index('day')\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Humidity(%)</th>\n",
       "      <th>Tmax(oC)</th>\n",
       "      <th>Tmin(oc)</th>\n",
       "      <th>Rain(mm)</th>\n",
       "      <th>temp(oC)</th>\n",
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       "    <tr>\n",
       "      <th>day</th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>94.7</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.30</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100.0</td>\n",
       "      <td>16.4</td>\n",
       "      <td>2.5</td>\n",
       "      <td>9.9</td>\n",
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       "      <th>3</th>\n",
       "      <td>98.4</td>\n",
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       "      <td>12.15</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>11.75</td>\n",
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       "      <th>358</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>11.85</td>\n",
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       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>91.1</td>\n",
       "      <td>19.2</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.70</td>\n",
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       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>96.9</td>\n",
       "      <td>19.1</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>360 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Humidity(%)  Tmax(oC)  Tmin(oc)  Rain(mm)  temp(oC)\n",
       "day                                                     \n",
       "1           94.7      13.0       5.6       0.0      9.30\n",
       "2          100.0      16.4       2.5       9.9      9.45\n",
       "3           98.4      22.0       2.3       0.3     12.15\n",
       "4           98.4      19.5       1.0       0.0     10.25\n",
       "5           96.8      20.0       1.4       0.0     10.70\n",
       "..           ...       ...       ...       ...       ...\n",
       "356         95.4      20.5       2.7       0.0     11.60\n",
       "357         94.2      20.5       3.0       0.0     11.75\n",
       "358         95.6      20.0       3.7       0.0     11.85\n",
       "359         91.1      19.2       2.2       0.0     10.70\n",
       "360         96.9      19.1       1.4       0.0     10.25\n",
       "\n",
       "[360 rows x 5 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['temp(oC)'] = (df1['Tmax(oC)']+df1['Tmin(oc)'])/2\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9.45"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.iloc[1,4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Humidity(%)</th>\n",
       "      <td>360.0</td>\n",
       "      <td>88.215556</td>\n",
       "      <td>8.913733</td>\n",
       "      <td>52.1</td>\n",
       "      <td>82.775</td>\n",
       "      <td>89.900</td>\n",
       "      <td>95.225</td>\n",
       "      <td>100.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tmax(oC)</th>\n",
       "      <td>360.0</td>\n",
       "      <td>25.894722</td>\n",
       "      <td>4.120923</td>\n",
       "      <td>11.2</td>\n",
       "      <td>22.650</td>\n",
       "      <td>27.150</td>\n",
       "      <td>29.225</td>\n",
       "      <td>33.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tmin(oc)</th>\n",
       "      <td>360.0</td>\n",
       "      <td>12.822222</td>\n",
       "      <td>6.513911</td>\n",
       "      <td>-1.3</td>\n",
       "      <td>7.500</td>\n",
       "      <td>13.400</td>\n",
       "      <td>19.500</td>\n",
       "      <td>21.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rain(mm)</th>\n",
       "      <td>360.0</td>\n",
       "      <td>4.068611</td>\n",
       "      <td>9.943038</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.600</td>\n",
       "      <td>75.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>temp(oC)</th>\n",
       "      <td>360.0</td>\n",
       "      <td>19.358472</td>\n",
       "      <td>5.067583</td>\n",
       "      <td>9.1</td>\n",
       "      <td>14.775</td>\n",
       "      <td>20.725</td>\n",
       "      <td>23.825</td>\n",
       "      <td>26.55</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             count       mean       std   min     25%     50%     75%     max\n",
       "Humidity(%)  360.0  88.215556  8.913733  52.1  82.775  89.900  95.225  100.00\n",
       "Tmax(oC)     360.0  25.894722  4.120923  11.2  22.650  27.150  29.225   33.10\n",
       "Tmin(oc)     360.0  12.822222  6.513911  -1.3   7.500  13.400  19.500   21.50\n",
       "Rain(mm)     360.0   4.068611  9.943038   0.0   0.000   0.000   1.600   75.00\n",
       "temp(oC)     360.0  19.358472  5.067583   9.1  14.775  20.725  23.825   26.55"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = [8,6])\n",
    "plt.plot(df1.index,df1['Humidity(%)'])\n",
    "plt.xlabel('Day no.')\n",
    "plt.ylabel('Humidity(%)')\n",
    "plt.title('Daily variation of Humidity')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = [8,6])\n",
    "plt.plot(df1.index,df1['Tmax(oC)'],label='Max. temp')\n",
    "plt.plot(df1.index,df1['Tmin(oc)'],label='Min. temp')\n",
    "plt.xlabel('Day no.')\n",
    "plt.ylabel('Temperature($^o$C)')\n",
    "plt.title('Daily variation of  temperature')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "day=[0,30,60,90,120,150,180,210,240,270,300,330,360]\n",
    "mtemp=[]\n",
    "mRH=[]\n",
    "mrain=[]\n",
    "for i in range(12):\n",
    "    mRH.append(np.sum(df1.iloc[day[i]+1:day[i+1],0])/30)\n",
    "    mtemp.append(np.sum(df1.iloc[day[i]+1:day[i+1],4])/30)\n",
    "    mrain.append(np.sum(df1.iloc[day[i]+1:day[i+1],3]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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": [
    "m = np.arange(1,13)\n",
    "month=['Jan','Feb','March','April','May','June','July','Aug','Sept','Oct','Nov','Dec']\n",
    "plt.bar(m,mtemp,color='cyan',edgecolor='black') \n",
    "plt.xticks(m, month )\n",
    "plt.xlabel('Month', fontsize=14)\n",
    "plt.ylabel('Temperature($^o$C)', fontsize=14) \n",
    "plt.tick_params(axis='x', rotation= 45)\n",
    "plt.title('Monthly variation of temperature', fontsize = 18 ,color='green') \n",
    "plt.tight_layout() \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dxefuJaBUNftpYFQ78yEiIsWne/GJiEghKUCJiEghKUBJrnSXBRHJi24WK7nSXRZEJC+qQYmISCEpQImISCEpQImISCEpQImISCEpQImISCEpQImISCEpQImISCEpQMksTxcHi/RPulBXZnm6OFikf6o7QJnZAGAjYENgODAnMI14fMbv3P35FuRPRES61Eyb+MxsTjM7EXgeuAn4PDA38C7x+PYS8IyZ3Wxma7cysyIi0j3qqUE9AfwZ2J+oKb1XvYKZLQ3sAVxlZqe4+0X5ZlNERLpNPQFqS3d/qLcV3P054HQzOxtYOpeciYhIV5tpgJpZcKpa912ixiUiItKUPo3iM7OBRJPfJsBA4A7g++7+To55ExGRLtbXYebnAKsAPwcGA2OANYDR+WRLRES6XV0Bysw2c/dbMrO2AlZ09/fT8t8Af2lB/kREpEvVeyeJU81sopnNn6YfA75uZiua2arAUcDDLcmhiIh0pXoD1NrAfcA9ZrYH0f+0MtH3dDuwCLBXS3IoIiJdqa4mPnd34Fwz+yVwAbA3cKC7P9vCvImISBdr6Gax7j7V3bcFJgK3mtmR6RZIIiIiuaoruJjZfGY23sxuNLNTgBuBzxLNfH81s9VbmUkREek+9dZ+JgJrEffiWx640N3/7u7jgGOAn5nZ+BblUUREulC910FtAqzh7k+a2UXAk5UF7n6bma0JfLMVGRQRke5Ubw3qCWB/M/sUcCDwXHahu//P3U/IO3MiItK96g1Q+xK1qPuIu5Z/pWU5EhERof5h5vcDI5tNzMzmAy4GPg04EfgeB64iHoL4LLCru7/ZbFoiIjJrq+eBhdbIBmey/nnAb9x9BWA14FHgOOBWd18OuDVNi4hIl6unie8xM9vLzObobaV026OL6CHAmNm8wAbAJRCP5nD3t4AdiFGCpP871pt5ERHpv+pp4tsfGA98z8xuAaYALwP/A+YHVgLWBz4FnA98r4ftLANMAy41s9WAe4DDgEXd/WUAd3/ZzBap9WYz2z/lhaWWWqqunRMRkVlXPQ8svB1Yy8zWBb4E7E48NXdO4HVi4MSPgMtTjai3tNYEDnX3u8zsPBpoznP3CcAEgJEjR3q97xMRkVlT3c+Dcvc7gTubSOsF4AV3vytNX0MEqFfNbGiqPQ0FXmsiDRER6Scauo9eM7c0cvdXgOfNbPk0a1PgEeAGYJ80bx/g+r6mISIi/UejT9S918zuI4aK/8zd/9Hg+w8Ffmpmg4GngbFEkLzazMYBU4EvNrhNERHphxoNUMsT1y6dCJydHr9xibtPqufNvVxPtWmD+RARkX6u0cdtPOHuxwNLETWdOYDfmNlTZnaimS3RikyKiEj36dOznNz9Q3e/iXiK7nHAMOBbwNNmdqWZDcsxjyIi0oX6FKDMbJSZ/YC4Hupw4AziVkWfAxYArssrgyIi0p0a6oMysyOJPqjliGdD7UncuujDtMpUMzsIeCzXXIqISNdpdJDEV4hbFV3q7q/2sM5UYFxTuRIRka7XaIDaHJiaqTEBH90gdkl3n+ru7zL93noiIiJ90mgf1FPAQjXmLwA803x2REREQqMByojnOFWbm7h5rIiISC7qauIzs/PTSwdON7P/ZBYPBEYB9+ecNxER6WL19kGtkv4bsCLwbmbZu8C9wFk55ktERLpcvY983xjAzC4FDnP3f7Y0VyIi0vUaGsXn7mNblREREZGsmQYoM7sB2Mvd/5le98jdt88tZyIi0tXqqUG9wfSRe2+0MC8iIiIfqeeR72NrvRYREWmlPt0sVkREpNXq6YOaRO2Lc2fg7ps0nSMRERHq64N6KPN6IHEH81eAu9K8UcBQ4PJ8syYiIt2snj6oQyuvzewc4kawh7m7Z+afS1zEKyIikotG+6D2Br6XDU7JBcDofLIkIiLSt5vFrlJjfq15IiIifdbo86B+BFxsZssBf0nz1gaOAS7NM2MiItLdGg1QxwCvAYcBp6V5LwNnAGfnmC8REelyjd6L70NgPDDezOZN83TjWBERyV2jNaiPKDCJiEgr1XOh7gPAhu7+ppk9SC8X7br7qnlmTkREulc9NahfAO+k19e0MC8iIiIfqedC3XKt1yIiIq2km8WKiEghNRSgzGx+MzvPzB4ws1fM7LXsX53bGGhm95nZr9L0CDO7y8yeMLOrzGxwX3ZERET6l0ZH8f0YWJm4H9+r1HmX8yqHAY8C86bpM4Fz3P1KM/sBMA64sA/bFRGRfqTRALURMaLv3r4kZmZLANsApwJHmpkBmwB7pFUmAiehACUi0vUa7YN6qg/vyTqXuBvFh2l6QeAtd38/Tb8ADGti+yIi0k80GmwOA043s9XMbGAjbzSzbYHX3P2e7Owaq9ZsNjSz/c1siplNmTZtWiNJi4jILKjRJr4ngTmBewGihW46d+8taK0HbG9mWwNzEH1Q5wLzmdlsqRa1BPBSrTe7+wRgAsDIkSP70vclIiKzkEYD1BXAJ4Cv0uAgCXc/HjgewMw2Ao5y9z3N7OfAF4ArgX2A6xvMk4iI9EONBqiRwCh3f2ima9bvWOBKMzsFuA+4JMdti4jILKrRAPUI04eH95m7TwYmp9dPA6Oa3aaIiPQvjQ6S+DrwHTPbzMwWNbMFsn+tyKCIiHSnRmtQN6f/v+Pj/U+Wphsa2SciItKTRgPUxi3JhYiISJVGn6h7e6syIiIiktVQgDKzNXtb3tdbIImIiFRrtIlvCtHXlL1CN9sXpT4oERHJRaMBakTV9CBgDeBE0kW4IiIieWi0D+q5GrOfNLN/ACXg17nkSkREul5eT9R9Blg9p22JiIg0PEii+mJcA4YSz3B6PKc8iYiINNwH9Toz3iDWgOeB3XLJkYiICM1fqPshMA14MvPQQRERkabVFaDMbKn08pkeVlnczHD3qflkS0REul29Nahn6f3ZT7oXn4iI5KreAPXZzGsDbgf2AF7IPUciIiLUGaDc/Z7stJl9CDyYnuUkIiKSu7yugxIREcmVApSIiBRSMwGqt0ETIiIiTal3mPkNVbPmAC4ys/9kZ7r79nllTEREulu9o/jeqJq+PO+MiIiIZNU7im9sqzMiIiKSpUESIiJSSApQIiJSSApQIiJSSApQIiJSSApQIiJSSApQIiJSSApQIiJSSApQIiJSSG0LUGa2pJlNMrNHzexhMzsszV/AzH5vZk+k//O3K08iIlJc7axBvQ98zd1XBNYGDjazlYDjgFvdfTng1jQtIiJdrm0Byt1fdvd70+t/AY8Cw4AdgIlptYnAju3Kk4iIFFdH+qDMbDiwBnAXsKi7vwwRxIBFenjP/mY2xcymTJs2rV1ZFRGRDml7gDKzuYFfAIe7+z/rfZ+7T3D3ke4+cuGFF25dBkVEpBDaGqDMbBARnH7q7r9Ms181s6Fp+VDgtXbmSUREiqmdo/gMuAR41N2/k1l0A7BPer0PcH278iQiIsVV7wML87AeMBp40MzuT/NOAM4ArjazccBU4IttzJOIiBRU2wKUu98BWA+LN21XPkREZNagO0mIiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghFSJAmdmWZva4mT1pZsd1Oj8iItJ5HQ9QZjYQ+D6wFbAS8CUzW6mzuRIRkU7reIACRgFPuvvT7v4ucCWwQ4fzJCIiHWbu3tkMmH0B2NLd90vTo4G13P2QqvX2B/ZPk8sDj7cxmwsBr7cxvW5Jsxv2sVvS7IZ97ESa3bCPAEu7+8LVM2drcyZqsRrzZoia7j4BmND67MzIzKa4+0ilOWunpzT7T3rdkmY37GNvitDE9wKwZGZ6CeClDuVFREQKoggB6m5gOTMbYWaDgd2BGzqcJxER6bCON/G5+/tmdgjwW2Ag8CN3f7jD2arWiabFbkizG/axW9Lshn3sRJrdsI896vggCRERkVqK0MQnIiIyAwUoEREpJAUoEREpJAWoOplZreu1+n3a7WBmy5hZR+4eYmaDOpRuW77TdCsxyUnle+v0b9LMWnru7vT+VShAzUTmi5qrh/mtTLvy/XTke2rjQbo08GMz26VN6QFgZmsCx7chncpJbW0z28HM1vY2jE4ys08Bx5rZgHaecCpBsU2/kTnMbNn0eikzW7CFac2d+d7mb1U6M8nDaDNbwt0/bNXna2ZW2U8z+6yZzdGKdOqhADUT7u5mtjXwazP7hpltlpnfqgNkZTObPR2EXwYuNrNDzGz9VqTXQx7my7wea2aHmtmeOaexlJmt4+6TgF2Bs8zsi3mmMRNvAXuY2SatTCQdK1sAlwELA3ea2U6tSi9zXH4KWNbdP2zl8ZpN08xWAS4ys3lbnWayMrCVmZ0GXAu0pEacatr7mdmOZrYf8Zsc1IGaxhpA2cwGtaqQkwlOhwHfABZtRTr1UICaiVTK3o+4NmAIsHW6f2BLgpSZDQEOBi40s92JC5cnA58ERpvZ9nmm10MehgNXAJ9J+3occawcYWYn55jUZ4B308nst8S9Fseb2a45pjEDM5vNzAa6+9PAd4h7O7akOczC/MABwI7AI8CDwJ3ZdXJOdkj6/ztgWTM7CqafeFoh/RY2Jr7DtYEzzGy+NgSph4HVgMOAX7r7K5DvZ5pqFO8BNwETiZP2/mleu10CvA0smPLWknN4+i5HA+Pc/blWpFEPBahemNmSwNXAve7+E+C7wNPAuil4tOJH/1/i8SOvA0cDZ7j7RODbwBRgPTObvZU/end/FvgLcDKwAbCXu58H7AZsb2Yn5ZTOtcCLwLVmtp27/544wZ3ZqppUKuFfCRxoZp8E7gP2NbMF3P2DvNPz8CbwZ2BvIiDu7O6vmtkYM1u52WPIzJY0s23T62WJz2/X9HSA44B5zGxIi2tQI4ka4tXAqcA7wLmtqklVtufu/yOCxoXAEDPb2cwGpDRnzyOdzPfzH+AC4ANgy5S+Z9dtNr0e8rCPme1nZnMBjwLzAiem9D9sRZrAIsDD7j7NMk3EZtbWmzsoQPXC3Z8HrgcONrPl3P0l4OfESXU9M1ssr7QyPzhPd9K4GJgGfDM1970I3E48nmTeVpSGU2m/ko8y8Evgc8BqZjbY3Z8CdgHGmNmJOaS3GTCSKJkeYmZbpiD1ZeCCSiEgh3Q+OnG4+4PA5cCcxC21Fib6F0dn9z+P9MxskVQjBpibKJHu5e5PmdlqwFHk05exOvAti4Em8xE17q+lgsQ4opCxfIv7veYFfuXufySC1MXA4kRNap68067U2CyefrC4ux9F/F42BDY2s3WI73Rws+nAR09T2Mfdjwe2AU4ys6+kZTuY2TJ57WONY/AFonB4CnAocCSwlJmtmnd6Nr2/6fG0aLVME/GXiNak9nF3/aVjkOl31lgeWC2z7BvEPQOXT9OLEbeHzy3tzOv1iBPKXEQfwveIE+qCwObAXcBCrdj/zOuxwCHp9RHAr4B1gNnSvBHAMk2mt3rat1Fp+svArcAWaXoLYOO89itt73jgIGCONG/TtK93Azfk/HluS/zILwaOSvOuAn4CXErU3LbPMb0dgduAXdL04sD6wHnAK+kYmrcFx81wYpDLJ4HngK0yy85K+/s1ojBsOaRX+T5HAU8AJxC1im+n38yhTC/cbZ3TPo4lmmVHZOaNTOlPSPu9XE5pZX+H2xEPch2ZSfM3wI1EIfnAnL/LA4DxRMvNZ4BziaB4TPoMHgI+mfcx1Gue2pnYrPBHlI4eTQfe3cCwNP/YNH/5FqZ9JPAH4MfAJGBVYIV0QL6a5q/U4v0/CLgXWDEz71iiJrkBKUg1sf2BwCeIAQq3pHmVk844omlx68z6eZzUtk37tB1Ru7gemCuzfAjwJ6KEnMdnuDzR5LQVsC5R6z4xLVsX2B74TI77t3j6vzVRy9616kS3BdEMtliOx8kAovZ3EdM70nch7qm5F7AWETCPBr6d8zH6WaK5/QtpenaiCfW0NMAf+PEAAA0BSURBVD00e/z2YftLEAXCpdP0D4Gd0uvBwMD0enj6rEf0Na0aaVd+CwcRhZhT03nnlMw6OxHdAJ/OMd0xwB+JQvE/iYC0JLAH0ax5YZ7p1Z2vdidYtD9gGHBjev1JohN7KaJE+m/gDmB4Wv51YL0c014s83pN4Pr0+mjgd+m1pRPeScCSLdj/7IlsENE8U6kpzpFZdjxwTXZeX9NJ02sB/wK+XDX/AOKBlc3s01KV74lo8poILJdOoH8kBoDcAgzJvOebwBE5fJ6LEqXbyzKf6UpE7emcFnx/Q4EfEZ32EEFqMrBz1f79Htg7z+MlTW+STmBHEAWqLYggeSOwSsrPDUQhoOlgnNI8mOgLLgFzp3nDiNrFPE1uewci2F0H/DX9Fg9O/+fMrLcV+baiLEUqNBH9P5NIQZYoCDyRPT7z+izTtoYAZ6fva29icM3gbDqV6Xb/tT3BIv4RpeffEf0SSxIdoH9N01cBT5JjKSmluU1KY+E0PSydJL+ffmiD0vzt00luUAv2OxucdgbmIWppXyGVEtOyddL/+ZpMb2OiCWHP9KNbBXgT2Dev/SH6Ql4GHgM2T/MXJ4LEven1MOD5dCIfQPRD/ZAmS4hMr8nsDjwFfC5ND0j7eg0tqAED+6b8j0nTWxO1/y8SJf75gXvIqfZPBKLvZqY3TOl/PXOSnY0IXo8Bq+RxnALLkIJuOl5/D2xE9O+tlb7fBZo8Pv9GNG/NRxQM7yQKM2en5YsCX0jnjKE5fZ6LEk2xRzE94P6cuESgss52wOk5pbccMdJyk8rnBXyVqPH+JrPeCeTUqtDnvHYy8U7/AQMyr38D3J5eHwp8K73eBbgfWD3HdLckSvJbpunBRLPXFekgWSjNH5PSXqTFn8NO6WQ9jOgEPQnYIC3bjWi2WbiP266cXNYhAvJJRI3mEuIaltWIUVH75bg/p6eT183EiDmAFYEfpNfrA2UyNTX6WDPMvH8o0bdUqcmMJgo261eONTLNin1MI1vbHwEck1m2J1GT2idNbwusnVne57TTiXp3Ug2eaHb+aTqpVr7fHYnO/GOIvqAhRL/ip3L6TrciRrF+ixhUMxsxtPwv6XdzOU326REj4yp9r5V+ymHpt/oiUbi6maghrprj8TqAaBb9DnHuMeBMopBR6fc9NO3jwCbT2oYI5Nem38gLwKeZ3r+9FXE++gJx7lkhr/3sU347mXgR/pgxSN2SfmwXpJPYJFJ/QU7pLQB8COyYppclTtizpXSvJQYPnE90zK7c4v1fkwiKu6XpJYiO0V8QgyPup/kS8ApEs0klWAxPJ6+z0vQGwOebTGNQ5vUWRJv59sRIxErt8NY0/2Vgk+rvP4fPcl+i73JMmt6LGKCwQY5p3EkUJjYghst/LbPsBCIo7puZ11RTUDpZng28B/wsnaTnJjrszwK+n9YbQTTlfTrz3j5/tkRNdwTTm7jvJWpQR6UTaaWmsTdRm9mhmX1M/y8ETsrsd6WvaQXg10SBaglyGqRE1GSWz6S3XTrv7J/Jz53AD4j+qKZq30TB+C/Ahpl5JaK5dFmiP+1S4jx4W7O/+1w+o05noAh/fDxIXQtMJUqM55ECSc7pVUoxq6aT5pGZZaOIQHUAmSp+jmnX6gu6kqgljUjz5iJqBCPpQ8c6M5a4V0w/tEmZdVZOJ9rFe8pbA+mtQDRNblTZTjqZnpY+y5uIwQmfIGpyzfZxNVKT2aeSrxyP0RuI0vX6RE306DR/VaJQkWszIvB5oi92WWKAybeJEv6m6ST6B6IjvzICs9mguAJxAe4XiWC4HNHHtQVRC182rbdu+n8wEaTWaSbttD+3MH0AywCieX1Jonm2qf6tqrQWJAqqr6X8H8j0mtRJwAFpvbWIZsymuhiYXjDeNk1n+5dPJppiBxNN5IvQRFNprsdepzNQlL+qE8AvgJtrLcsxvS3TAXNcms69j6lGmtk+p9WIUupsRAfteKKJYelm02DGEvcQYlj5+cSor4HppHM/TQ5XT2lukD7Le4ia2Thi6PNxRKD9EhEMcyts0OaaTI1jNBukfk0EjodJNcMWHDvXAd9Ir/chRmHemU6o48kpKBK164eIOxhU5s2XPs/nmF5z2oAoeCySpr8CLNVk2nOl4DCeTKsJUbOYBMyf82e6STpuDyVq3j8najA/TOegA4HZc0xvG6JVZsE0PXtm2e3k2FKUW547nYEi/TFjTeqrLU5vc6Lk8ok03fIgldI5lKjqn0203w8mmk9OTz+OJZrcfnWJ+yyixL0JMbrr/nRSz+1kmk7U/04/wlOJJsWpxJDkgcRw2ZE5HyNtrcn0kP5konS8Gzk2JVanR9Tsv0UUbB4iCgFbEQN71sgxvbHAeZW0iSbonYnm9geIGuquRJNXn5v1ekl/GNHsdTtwBlG7eITMdZE5p7c5UfscTNTU9iEKHG+kz/kTOae3FTGAZ/40XRmMdT0dGEY+0/x2OgNF+8v8II8nXbvS4vS2Ii7obFmVmkzJj+j8vIOoyp8FPEOUDmdn+nD2RXNIs1aJewrR/PUgHx8Fltfw4y3Sj31QOqGWgM3Ssqau36p1jKTXba3J1Ej/16TmxuplOae5CNGp/l9S81OaPyTndDYkmuu2SMfKFSlAnJM+518RTYxbVY6dvI6fTB7mJO6gcgpwOC289jGltw0xerAyom7+9HkPb1F61UFqb6Jfr6WDsfqU105noIh/6WR9Gi2+KDaT3g5En1QuV9tXbfvzKTB8Pk2vSTR7HUD0O82eAtQdRCmuqVocvZe4N0mf675En1Euw2ar0q9caN3SWmmNIDWZFtZkZpL+tcChbUhzFFHzHlqdhxzTGJKCwv1Ev8/n0gl7DaJAlb22K9ffSif/UtD4G6n5rU3pPUg0jd5JAWtP7gpQvX2BuZW460xv7hZt91Dgf8R1XtuleQOIpryN0vTJREm8qTb8qnR7KnFXLgBchZyuI6mR9pbEnTdy7TOokU7bazK10qd9tf1BRFPmrq3eP6paFIiBAn8i+k37TWCq2scdiKbLlh87Kb1tgXdp8UjhZv4qwyulnzKzhYjrO54nmqGucverzGwCcW3HO0QpdYy7T8s57VHEwIid3P3l9GgA9zYcdGa2DfBvd5/c4nQGeLqjtJldC9zm7t9tZZpV6c9ONGVe7u6PtCG9UUTh7c6ZrpxPeoOIfprTgRPc/aZ2pNspFg9FfLuN6Q1x9/+0K71GKUD1Q5W7HLv7AykonE4Ma72KqFGdQ/Q97Ufce+tUd/+/FuRjEHENx2+Ba7x1jwboLQ/W6oBYCVJmdjxR+j21lenVSH82d3+/nWm2Qzp+RhEDJM5z9xs7nCVpMwWofsbikdfTiCvEjySG5t5HXNN1A9GevydxV4WbLB7cl/tzkDL5aWuJu1PaXZPpFilILejur7SjsCHFogDVD1k8wvwWYhTSe8SFsi8C/+ful5vZWKKfZj/gbf3o89FfazIinaIA1U+Z2abEMN01iaHlexC1qrHEyD3c/V8dy6CIyEwoQPVjZrY1cYHsOu7+tpmNcPdnOp0vEZF6tPX58tJe7n5zeprz3Wa2XiU4qS1fRGYFClD9XApSg4BbzGwkbRrmLSLSLDXxdYl2X18hItIsBSgRESmkAZ3OgIiISC0KUCIiUkgKUCIiUkgKUCIiUkgKUCL9jJlNNrPvdTofIs1SgBLJiZldZmZuZhfXWDY+LftVjultlLa5UF7bFCkSBSiRfD0P7GZmc1VmmNlswGhgasdyJTILUoASydcDwBPEU2crtiGeajy5MsPMBpjZN8zseTN7x8weNLMdMsuHp9rRLmb2ezP7j5k9YmabV5YDk9Lq09K6l2XSHGBmp5nZ62b2mpmdlZ4NJjLL0AErkr9LgH0z0/sClwLZq+IPA44GjgVWAa4Ffmlmq1dt61TiqcSrAXcDV5rZ3ERNbZe0zsrA0LTNij2B94F1gUOAw4Hdmt0xkXZSgBLJ38+AkWa2nJktRjx767KqdY4CznL3n7n739z9m8Af0/ysc9z9Rnd/AjgBWABYPT1k8u9pndfc/RV3/0fmfY+4+zfTtq8malub5rqXIi2mm8WK5Mzd3zSza4ma01vAZHefmu4sj5nNCywO/KnqrXcAW1fNeyDz+qX0f5E6svFA1fRLdb5PpDAUoERa40fAROBt4Js9rFPrRpjV8977aIG7pyBXT8vHe1XTXuf7RApDB6xIa9wKvAssBFyXXeDu/yRqNOtXvWd94JEG0ng3/R/YxzyKFJpqUCItkGo7qxJPDHinxirfBk42syeAe4C9gM8Bn2kgmeeImtE2ZnYj8F89UkX6EwUokRZx93/1svh8YB5gPLAo8Diwi7vf38D2XzSzEjHS72Lgx8CYPmdYpGD0PCgRESkk9UGJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEghKUCJiEgh/T+9Ffvx/hd6gQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(m,mRH,color='green',edgecolor='black') \n",
    "plt.xticks(m, month )\n",
    "plt.xlabel('Month', fontsize=14)\n",
    "plt.ylabel('Humidity(%)', fontsize=14) \n",
    "plt.tick_params(axis='x', rotation= 45)\n",
    "plt.title('Monthly variation of Humidity', fontsize = 18 ,color='green') \n",
    "plt.tight_layout() \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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(m,mrain,color='yellow',edgecolor='black') \n",
    "plt.xticks(m, month )\n",
    "plt.xlabel('Month', fontsize=14)\n",
    "plt.ylabel('Rainfall(mm)', fontsize=14) \n",
    "plt.tick_params(axis='x', rotation= 45)\n",
    "plt.title('Monthly variation of rainfall', fontsize = 18 ,color='green') \n",
    "plt.tight_layout() \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\\begin{equation}\n",
    "dew~point=\\frac{b(aT/(b+T)+ln(RH))}{a-(aT/(b+T)+ln(RH)}\n",
    "\\end{equation}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def DewPoin(t,rh):\n",
    "    a=17.27\n",
    "    b=237.7\n",
    "    x=a*t/(b+t)\n",
    "    nm=b*(x+np.log(rh/100))\n",
    "    dm=a-(x+np.log(rh/100))\n",
    "    y=nm/dm\n",
    "    return y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "21.85732599954956"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt=DewPoin(26,78)\n",
    "dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>Humidity(%)</th>\n",
       "      <th>Tmax(oC)</th>\n",
       "      <th>Tmin(oc)</th>\n",
       "      <th>Rain(mm)</th>\n",
       "      <th>temp(oC)</th>\n",
       "      <th>dewpoint(oC)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>94.7</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.30</td>\n",
       "      <td>8.493324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100.0</td>\n",
       "      <td>16.4</td>\n",
       "      <td>2.5</td>\n",
       "      <td>9.9</td>\n",
       "      <td>9.45</td>\n",
       "      <td>9.450000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>98.4</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>12.15</td>\n",
       "      <td>11.904965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>98.4</td>\n",
       "      <td>19.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.25</td>\n",
       "      <td>10.008675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>96.8</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.70</td>\n",
       "      <td>10.212111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>95.4</td>\n",
       "      <td>20.5</td>\n",
       "      <td>2.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.60</td>\n",
       "      <td>10.889071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>94.2</td>\n",
       "      <td>20.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.75</td>\n",
       "      <td>10.847578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>95.6</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.85</td>\n",
       "      <td>11.169239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>91.1</td>\n",
       "      <td>19.2</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.70</td>\n",
       "      <td>9.306803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>96.9</td>\n",
       "      <td>19.1</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.25</td>\n",
       "      <td>9.779279</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>360 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Humidity(%)  Tmax(oC)  Tmin(oc)  Rain(mm)  temp(oC)  dewpoint(oC)\n",
       "day                                                                   \n",
       "1           94.7      13.0       5.6       0.0      9.30      8.493324\n",
       "2          100.0      16.4       2.5       9.9      9.45      9.450000\n",
       "3           98.4      22.0       2.3       0.3     12.15     11.904965\n",
       "4           98.4      19.5       1.0       0.0     10.25     10.008675\n",
       "5           96.8      20.0       1.4       0.0     10.70     10.212111\n",
       "..           ...       ...       ...       ...       ...           ...\n",
       "356         95.4      20.5       2.7       0.0     11.60     10.889071\n",
       "357         94.2      20.5       3.0       0.0     11.75     10.847578\n",
       "358         95.6      20.0       3.7       0.0     11.85     11.169239\n",
       "359         91.1      19.2       2.2       0.0     10.70      9.306803\n",
       "360         96.9      19.1       1.4       0.0     10.25      9.779279\n",
       "\n",
       "[360 rows x 6 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['dewpoint(oC)']=DewPoin(df1['temp(oC)'],df1['Humidity(%)'])\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = [8,6])\n",
    "plt.plot(df1.index,df1['dewpoint(oC)'])\n",
    "plt.xlabel('Day no.')\n",
    "plt.ylabel('dew point($^o$C)')\n",
    "plt.title('Daily variation of Dew point')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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"
  },
  "widgets": {
   "state": {},
   "version": "1.1.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}