Day 19.ipynb

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   "source": [
    "##  Find Total Time Spent by Each Employee Table Leetcode Task19"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "814f2532",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a57e6edd",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = [['1', '2020-11-28', '4', '32'], ['1', '2020-11-28', '55', '200'], ['1', '2020-12-3', '1', '42'], ['2', '2020-11-28', '3', '33'], ['2', '2020-12-9', '47', '74']]\n",
    "Employees = pd.DataFrame(data, columns=['emp_id', 'event_day', 'in_time', 'out_time']).astype({'emp_id':'Int64', 'event_day':'datetime64[ns]', 'in_time':'Int64', 'out_time':'Int64'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3e5b358a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>emp_id</th>\n",
       "      <th>event_day</th>\n",
       "      <th>in_time</th>\n",
       "      <th>out_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>4</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>55</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>2020-12-03</td>\n",
       "      <td>1</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>3</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>2020-12-09</td>\n",
       "      <td>47</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   emp_id  event_day  in_time  out_time\n",
       "0       1 2020-11-28        4        32\n",
       "1       1 2020-11-28       55       200\n",
       "2       1 2020-12-03        1        42\n",
       "3       2 2020-11-28        3        33\n",
       "4       2 2020-12-09       47        74"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Employees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fac7c34c",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>emp_id</th>\n",
       "      <th>event_day</th>\n",
       "      <th>in_time</th>\n",
       "      <th>out_time</th>\n",
       "      <th>total_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>4</td>\n",
       "      <td>32</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>55</td>\n",
       "      <td>200</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>2020-12-03</td>\n",
       "      <td>1</td>\n",
       "      <td>42</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>3</td>\n",
       "      <td>33</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>2020-12-09</td>\n",
       "      <td>47</td>\n",
       "      <td>74</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "   emp_id  event_day  in_time  out_time  total_time\n",
       "0       1 2020-11-28        4        32          28\n",
       "1       1 2020-11-28       55       200         145\n",
       "2       1 2020-12-03        1        42          41\n",
       "3       2 2020-11-28        3        33          30\n",
       "4       2 2020-12-09       47        74          27"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Employees['total_time'] = Employees['out_time'] - Employees['in_time']\n",
    "Employees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8e56904d",
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>emp_id</th>\n",
       "      <th>event_day</th>\n",
       "      <th>total_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>2020-12-03</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>2020-12-09</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   emp_id  event_day  total_time\n",
       "0       1 2020-11-28          28\n",
       "1       1 2020-11-28         145\n",
       "2       1 2020-12-03          41\n",
       "3       2 2020-11-28          30\n",
       "4       2 2020-12-09          27"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Employees.drop(['out_time', 'in_time'], axis=1, inplace=True)\n",
    "Employees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "73bb2e92",
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>event_day</th>\n",
       "      <th>emp_id</th>\n",
       "      <th>total_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>1</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-12-03</td>\n",
       "      <td>1</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-12-09</td>\n",
       "      <td>2</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   event_day  emp_id  total_time\n",
       "0 2020-11-28       1         173\n",
       "2 2020-12-03       1          41\n",
       "1 2020-11-28       2          30\n",
       "3 2020-12-09       2          27"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Employees=Employees.groupby(['event_day','emp_id']).sum().reset_index()\n",
    "Employees=Employees.sort_values('emp_id')\n",
    "Employees"
   ]
  },
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