Day 6.ipynb

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   "source": [
    "## Calculate Special Bonus Leetcode Task6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "814f2532",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "42bc36b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = [[2, 'Meir', 3000], [3, 'Michael', 3800], [7, 'Addilyn', 7400], [8, 'Juan', 6100], [9, 'Kannon', 7700]]\n",
    "Employees = pd.DataFrame(data, columns=['employee_id', 'name', 'salary']).astype({'employee_id':'int64', 'name':'object', 'salary':'int64'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "304179ae",
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>employee_id</th>\n",
       "      <th>name</th>\n",
       "      <th>salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>Meir</td>\n",
       "      <td>3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>Michael</td>\n",
       "      <td>3800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7</td>\n",
       "      <td>Addilyn</td>\n",
       "      <td>7400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8</td>\n",
       "      <td>Juan</td>\n",
       "      <td>6100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9</td>\n",
       "      <td>Kannon</td>\n",
       "      <td>7700</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   employee_id     name  salary\n",
       "0            2     Meir    3000\n",
       "1            3  Michael    3800\n",
       "2            7  Addilyn    7400\n",
       "3            8     Juan    6100\n",
       "4            9   Kannon    7700"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Employees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "0bb256be",
   "metadata": {},
   "outputs": [],
   "source": [
    "Employees['bouns']=0\n",
    "Employees.loc[(Employees['employee_id'] % 2 == 1) & (Employees['name'].str[0] != 'M'), 'bouns'] = Employees['salary']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "a4912e19",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>employee_id</th>\n",
       "      <th>bouns</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
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       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7</td>\n",
       "      <td>7400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9</td>\n",
       "      <td>7700</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   employee_id  bouns\n",
       "0            2      0\n",
       "1            3      0\n",
       "2            7   7400\n",
       "3            8      0\n",
       "4            9   7700"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Employees[['employee_id','bouns']].sort_values(by='employee_id')"
   ]
  }
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