pandas-sql_11.ipynb

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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>id</th>\n",
       "      <th>username</th>\n",
       "      <th>first_name</th>\n",
       "      <th>last_name</th>\n",
       "      <th>birth_year</th>\n",
       "      <th>points</th>\n",
       "      <th>email</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>james.jonathan</td>\n",
       "      <td>James</td>\n",
       "      <td>Jonathan</td>\n",
       "      <td>1993</td>\n",
       "      <td>9</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>55</td>\n",
       "      <td>charles.ryder</td>\n",
       "      <td>Charles</td>\n",
       "      <td>Ryder</td>\n",
       "      <td>1984</td>\n",
       "      <td>15</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "    id        username first_name last_name  birth_year  points  \\\n",
       "8    9  james.jonathan      James  Jonathan        1993       9   \n",
       "54  55   charles.ryder    Charles     Ryder        1984      15   \n",
       "\n",
       "                         email  \n",
       "8   [email protected]  \n",
       "54   [email protected]  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users[users[\"first_name\"].str.contains('es')]"
   ]
  }  
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