Pandas - Dataframe.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8c04f1f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
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   "execution_count": 4,
   "id": "a49291e8",
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   "outputs": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>day</th>\n",
       "      <th>temperature</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>event</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/1/2017</td>\n",
       "      <td>32</td>\n",
       "      <td>6</td>\n",
       "      <td>Rain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1/2/2017</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>Sunny</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1/3/2017</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>Snow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1/4/2017</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>Snow</td>\n",
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       "      <td>1/5/2017</td>\n",
       "      <td>32</td>\n",
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       "      <td>Rain</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1/6/2017</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>Sunny</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "        day  temperature  windspeed  event\n",
       "0  1/1/2017           32          6   Rain\n",
       "1  1/2/2017           35          7  Sunny\n",
       "2  1/3/2017           28          2   Snow\n",
       "3  1/4/2017           24          7   Snow\n",
       "4  1/5/2017           32          4   Rain\n",
       "5  1/6/2017           31          2  Sunny"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather_data = {\n",
    "    'day': ['1/1/2017','1/2/2017','1/3/2017','1/4/2017','1/5/2017','1/6/2017'],\n",
    "    'temperature': [32,35,28,24,32,31],\n",
    "    'windspeed': [6,7,2,7,4,2],\n",
    "    'event': ['Rain', 'Sunny', 'Snow','Snow','Rain', 'Sunny']\n",
    "}\n",
    "df = pd.DataFrame(weather_data)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
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   "id": "0faca242",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>day</th>\n",
       "      <th>temperature</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>event</th>\n",
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       "      <td>1/2/2017</td>\n",
       "      <td>35</td>\n",
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       "      <td>Sunny</td>\n",
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       "      <td>1/3/2017</td>\n",
       "      <td>28</td>\n",
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       "      <td>Snow</td>\n",
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       "      <td>Snow</td>\n",
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       "      <th>4</th>\n",
       "      <td>1/5/2017</td>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>Rain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1/6/2017</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>Sunny</td>\n",
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      "text/plain": [
       "        day  temperature  windspeed  event\n",
       "0  1/1/2017           32          6   Rain\n",
       "1  1/2/2017           35          7  Sunny\n",
       "2  1/3/2017           28          2   Snow\n",
       "3  1/4/2017           24          7   Snow\n",
       "4  1/5/2017           32          4   Rain\n",
       "5  1/6/2017           31          2  Sunny"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/weather_data.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "68d04c8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(6, 4)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5b5d1822",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rows, columns = df.shape\n",
    "rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "61d7f6bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1097429c",
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>day</th>\n",
       "      <th>temperature</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>event</th>\n",
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       "      <td>Rain</td>\n",
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      "text/plain": [
       "        day  temperature  windspeed  event\n",
       "0  1/1/2017           32          6   Rain\n",
       "1  1/2/2017           35          7  Sunny\n",
       "2  1/3/2017           28          2   Snow\n",
       "3  1/4/2017           24          7   Snow\n",
       "4  1/5/2017           32          4   Rain"
      ]
     },
     "execution_count": 9,
     "metadata": {},
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   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d6dd43a5",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Sunny</td>\n",
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       "      <td>Sunny</td>\n",
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      "text/plain": [
       "        day  temperature  windspeed  event\n",
       "1  1/2/2017           35          7  Sunny\n",
       "2  1/3/2017           28          2   Snow\n",
       "3  1/4/2017           24          7   Snow\n",
       "4  1/5/2017           32          4   Rain\n",
       "5  1/6/2017           31          2  Sunny"
      ]
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     "execution_count": 10,
     "metadata": {},
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   "source": [
    "df.tail(5)"
   ]
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       "      <th></th>\n",
       "      <th>day</th>\n",
       "      <th>temperature</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>event</th>\n",
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      "text/plain": [
       "        day  temperature  windspeed event\n",
       "2  1/3/2017           28          2  Snow\n",
       "3  1/4/2017           24          7  Snow\n",
       "4  1/5/2017           32          4  Rain"
      ]
     },
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     "metadata": {},
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   ],
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    "df[2:5]"
   ]
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       "      <th>1</th>\n",
       "      <td>1/2/2017</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>Sunny</td>\n",
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       "      <th>2</th>\n",
       "      <td>1/3/2017</td>\n",
       "      <td>28</td>\n",
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       "      <td>Snow</td>\n",
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       "      <td>1/5/2017</td>\n",
       "      <td>32</td>\n",
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       "      <td>Rain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1/6/2017</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>Sunny</td>\n",
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      "text/plain": [
       "        day  temperature  windspeed  event\n",
       "0  1/1/2017           32          6   Rain\n",
       "1  1/2/2017           35          7  Sunny\n",
       "2  1/3/2017           28          2   Snow\n",
       "3  1/4/2017           24          7   Snow\n",
       "4  1/5/2017           32          4   Rain\n",
       "5  1/6/2017           31          2  Sunny"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f93ff1e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['day', 'temperature', 'windspeed', 'event'], dtype='object')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "057b5f14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1/1/2017\n",
       "1    1/2/2017\n",
       "2    1/3/2017\n",
       "3    1/4/2017\n",
       "4    1/5/2017\n",
       "5    1/6/2017\n",
       "Name: day, dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ada67968",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     Rain\n",
       "1    Sunny\n",
       "2     Snow\n",
       "3     Snow\n",
       "4     Rain\n",
       "5    Sunny\n",
       "Name: event, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['event']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6680245c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df['event'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "94d81684",
   "metadata": {},
   "outputs": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Rain</td>\n",
       "      <td>1/1/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sunny</td>\n",
       "      <td>1/2/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Snow</td>\n",
       "      <td>1/3/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Snow</td>\n",
       "      <td>1/4/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rain</td>\n",
       "      <td>1/5/2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Sunny</td>\n",
       "      <td>1/6/2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   event       day\n",
       "0   Rain  1/1/2017\n",
       "1  Sunny  1/2/2017\n",
       "2   Snow  1/3/2017\n",
       "3   Snow  1/4/2017\n",
       "4   Rain  1/5/2017\n",
       "5  Sunny  1/6/2017"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['event', 'day']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d03fc6a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "35"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['temperature'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "82088416",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['temperature'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "499c7dea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30.333333333333332"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['temperature'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "147e14d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31.5"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['temperature'].median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "594838f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.8297084310253524"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
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   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e0de8085",
   "metadata": {},
   "outputs": [
    {
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       "      <td>28.75</td>\n",
       "      <td>31.5</td>\n",
       "      <td>32.00</td>\n",
       "      <td>35.0</td>\n",
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       "    <tr>\n",
       "      <th>windspeed</th>\n",
       "      <td>6.0</td>\n",
       "      <td>4.666667</td>\n",
       "      <td>2.338090</td>\n",
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       "             count       mean       std   min    25%   50%    75%   max\n",
       "temperature    6.0  30.333333  3.829708  24.0  28.75  31.5  32.00  35.0\n",
       "windspeed      6.0   4.666667  2.338090   2.0   2.50   5.0   6.75   7.0"
      ]
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     "execution_count": 24,
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  {
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   "execution_count": 25,
   "id": "f308baf4",
   "metadata": {},
   "outputs": [
    {
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     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6 entries, 0 to 5\n",
      "Data columns (total 4 columns):\n",
      " #   Column       Non-Null Count  Dtype \n",
      "---  ------       --------------  ----- \n",
      " 0   day          6 non-null      object\n",
      " 1   temperature  6 non-null      int64 \n",
      " 2   windspeed    6 non-null      int64 \n",
      " 3   event        6 non-null      object\n",
      "dtypes: int64(2), object(2)\n",
      "memory usage: 320.0+ bytes\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "910428a4",
   "metadata": {},
   "outputs": [
    {
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       "        day  temperature  windspeed  event\n",
       "0  1/1/2017           32          6   Rain\n",
       "1  1/2/2017           35          7  Sunny\n",
       "4  1/5/2017           32          4   Rain"
      ]
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     "metadata": {},
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   ],
   "source": [
    "df[df['temperature'] >= 32]"
   ]
  },
  {
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   "execution_count": 32,
   "id": "bb15d228",
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "        day  temperature  windspeed  event\n",
       "1  1/2/2017           35          7  Sunny"
      ]
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     "execution_count": 32,
     "metadata": {},
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   "source": [
    "df[df['temperature'] == df.temperature.max()]"
   ]
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  {
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   "execution_count": 34,
   "id": "a3083c60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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      "text/plain": [
       "        day  temperature\n",
       "1  1/2/2017           35"
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     "execution_count": 34,
     "metadata": {},
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   ],
   "source": [
    "df[['day','temperature']][df['temperature'] == df['temperature'].max()] # Kinda doing SQL in pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "32ccf53d",
   "metadata": {},
   "outputs": [
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     "data": {
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       "RangeIndex(start=0, stop=6, step=1)"
      ]
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     "execution_count": 36,
     "metadata": {},
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  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "244b3623",
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   "outputs": [
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      "text/plain": [
       "          temperature  windspeed  event\n",
       "day                                    \n",
       "1/1/2017           32          6   Rain\n",
       "1/2/2017           35          7  Sunny\n",
       "1/3/2017           28          2   Snow\n",
       "1/4/2017           24          7   Snow\n",
       "1/5/2017           32          4   Rain\n",
       "1/6/2017           31          2  Sunny"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.set_index('day')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "6299ee85",
   "metadata": {},
   "outputs": [
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       "        day  temperature  windspeed  event\n",
       "0  1/1/2017           32          6   Rain\n",
       "1  1/2/2017           35          7  Sunny\n",
       "2  1/3/2017           28          2   Snow\n",
       "3  1/4/2017           24          7   Snow\n",
       "4  1/5/2017           32          4   Rain\n",
       "5  1/6/2017           31          2  Sunny"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "a239b1b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.set_index('day', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "25cb1762",
   "metadata": {},
   "outputs": [
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/5/2017</th>\n",
       "      <td>32</td>\n",
       "      <td>4</td>\n",
       "      <td>Rain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/6/2017</th>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>Sunny</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          temperature  windspeed  event\n",
       "day                                    \n",
       "1/1/2017           32          6   Rain\n",
       "1/2/2017           35          7  Sunny\n",
       "1/3/2017           28          2   Snow\n",
       "1/4/2017           24          7   Snow\n",
       "1/5/2017           32          4   Rain\n",
       "1/6/2017           31          2  Sunny"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "86359b98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['1/1/2017', '1/2/2017', '1/3/2017', '1/4/2017', '1/5/2017', '1/6/2017'], dtype='object', name='day')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "4972b09b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "temperature       35\n",
       "windspeed          7\n",
       "event          Sunny\n",
       "Name: 1/2/2017, dtype: object"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc['1/2/2017']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "9e21b233",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>28</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1/4/2017</td>\n",
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       "  </tbody>\n",
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      "text/plain": [
       "        day  temperature  windspeed  event\n",
       "0  1/1/2017           32          6   Rain\n",
       "1  1/2/2017           35          7  Sunny\n",
       "2  1/3/2017           28          2   Snow\n",
       "3  1/4/2017           24          7   Snow\n",
       "4  1/5/2017           32          4   Rain"
      ]
     },
     "execution_count": 42,
     "metadata": {},
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    }
   ],
   "source": [
    "df.reset_index(inplace=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "f10c3117",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Sunny</td>\n",
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       "      <td>2017-01-03</td>\n",
       "      <td>28</td>\n",
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      "text/plain": [
       "         day  temperature  windspeed  event\n",
       "0 2017-01-01           32          6   Rain\n",
       "1 2017-01-02           35          7  Sunny\n",
       "2 2017-01-03           28          2   Snow"
      ]
     },
     "execution_count": 44,
     "metadata": {},
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   ],
   "source": [
    "df=pd.read_excel(\"data/weather_data.xlsx\",\"Sheet1\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "8e46bcb2",
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   "outputs": [
    {
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      "text/plain": [
       "        day  temperature  windspeed  event\n",
       "0  1/1/2017           32          6   Rain\n",
       "1  1/2/2017           35          7  Sunny\n",
       "2  1/3/2017           28          2   Snow"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "weather_data = {\n",
    "    'day': ['1/1/2017','1/2/2017','1/3/2017'],\n",
    "    'temperature': [32,35,28],\n",
    "    'windspeed': [6,7,2],\n",
    "    'event': ['Rain', 'Sunny', 'Snow']\n",
    "}\n",
    "df = pd.DataFrame(weather_data)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "7878197e",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Sunny</td>\n",
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      "text/plain": [
       "        day  temperature  windspeed  event\n",
       "0  1/1/2017           32          6   Rain\n",
       "1  1/2/2017           35          7  Sunny\n",
       "2  1/3/2017           28          2   Snow"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather_data = [\n",
    "    ('1/1/2017',32,6,'Rain'),\n",
    "    ('1/2/2017',35,7,'Sunny'),\n",
    "    ('1/3/2017',28,2,'Snow')\n",
    "]\n",
    "df = pd.DataFrame(data=weather_data, columns=['day','temperature','windspeed','event'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "e9fe6b7f",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Sunny</td>\n",
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       "      <td>1/3/2017</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
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      "text/plain": [
       "        day  temperature  windspeed  event\n",
       "0  1/1/2017           32          6   Rain\n",
       "1  1/2/2017           35          7  Sunny\n",
       "2  1/3/2017           28          2   Snow"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather_data = [\n",
    "    {'day': '1/1/2017', 'temperature': 32, 'windspeed': 6, 'event': 'Rain'},\n",
    "    {'day': '1/2/2017', 'temperature': 35, 'windspeed': 7, 'event': 'Sunny'},\n",
    "    {'day': '1/3/2017', 'temperature': 28, 'windspeed': 2, 'event': 'Snow'},\n",
    "    \n",
    "]\n",
    "df = pd.DataFrame(data=weather_data, columns=['day','temperature','windspeed','event'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1725404b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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