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Applying Functions to Multiple Columns

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rasbt 2015-01-28 22:25:09 -05:00
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commit db6679eb9c
1 changed files with 87 additions and 12 deletions
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99
tutorials/things_in_pandas.ipynb
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@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
"signature": "sha256:c69dee8958d58e899a12b80810cc37f7abd7a90f9b76135251a76499ed8aeb2a"
"signature": "sha256:3155cd3fa2449393a467f91f3cdbb32eeac212db664843ef30f96b635dbfc06d"
},
"nbformat": 3,
"nbformat_minor": 0,
@ -1722,7 +1722,7 @@
"input": [
"# Filling cells with data\n",
"\n",
"df.loc[df.index[-1], 'player'] = 'New Player'\n",
"df.loc[df.index[-1], 'player'] = 'new player'\n",
"df.loc[df.index[-1], 'salary'] = 12.3\n",
"df.tail(3)"
],
@ -1777,7 +1777,7 @@
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td> New Player</td>\n",
" <td> new player</td>\n",
" <td> 12.3</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
@ -1799,7 +1799,7 @@
" player salary games goals assists shots_on_target \\\n",
"8 saido berahino 13.8 21 9 0 20 \n",
"9 steven gerrard 13.8 20 5 1 11 \n",
"10 New Player 12.3 NaN NaN NaN NaN \n",
"10 new player 12.3 NaN NaN NaN NaN \n",
"\n",
" points_per_game points position team \n",
"8 7.02 147.43 forward west brom \n",
@ -2548,7 +2548,7 @@
"input": [
"# Selecting only those players that either playing for Arsenal or Chelsea\n",
"\n",
"df[ (df['team'] == 'Arsenal') | (df['team'] == 'Chelsea') ]"
"df[ (df['team'] == 'arsenal') | (df['team'] == 'chelsea') ]"
],
"language": "python",
"metadata": {},
@ -2573,6 +2573,58 @@
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> alexis s\u00e1nchez</td>\n",
" <td> 15</td>\n",
" <td> 0</td>\n",
" <td> 12</td>\n",
" <td> 7</td>\n",
" <td> 29</td>\n",
" <td> 11.19</td>\n",
" <td> 223.86</td>\n",
" <td> forward</td>\n",
" <td> arsenal</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> eden hazard</td>\n",
" <td> 18.9</td>\n",
" <td> 21</td>\n",
" <td> 8</td>\n",
" <td> 4</td>\n",
" <td> 17</td>\n",
" <td> 13.05</td>\n",
" <td> 274.04</td>\n",
" <td> midfield</td>\n",
" <td> chelsea</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td> santiago cazorla</td>\n",
" <td> 14.8</td>\n",
" <td> 20</td>\n",
" <td> 4</td>\n",
" <td> 0</td>\n",
" <td> 20</td>\n",
" <td> 9.97</td>\n",
" <td> 0.00</td>\n",
" <td> midfield</td>\n",
" <td> arsenal</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td> cesc f\u00e0bregas</td>\n",
" <td> 14.0</td>\n",
" <td> 20</td>\n",
" <td> 2</td>\n",
" <td> 14</td>\n",
" <td> 10</td>\n",
" <td> 10.47</td>\n",
" <td> 209.49</td>\n",
" <td> midfield</td>\n",
" <td> chelsea</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
@ -2581,9 +2633,17 @@
"output_type": "pyout",
"prompt_number": 21,
"text": [
"Empty DataFrame\n",
"Columns: [player, salary, games, goals, assists, shots_on_target, points_per_game, points, position, team]\n",
"Index: []"
" player salary games goals assists shots_on_target \\\n",
"1 alexis s\u00e1nchez 15 0 12 7 29 \n",
"3 eden hazard 18.9 21 8 4 17 \n",
"7 santiago cazorla 14.8 20 4 0 20 \n",
"9 cesc f\u00e0bregas 14.0 20 2 14 10 \n",
"\n",
" points_per_game points position team \n",
"1 11.19 223.86 forward arsenal \n",
"3 13.05 274.04 midfield chelsea \n",
"7 9.97 0.00 midfield arsenal \n",
"9 10.47 209.49 midfield chelsea "
]
}
],
@ -2595,7 +2655,7 @@
"input": [
"# Selecting forwards from Arsenal only\n",
"\n",
"df[ (df['team'] == 'Arsenal') & (df['position'] == 'Forward') ]"
"df[ (df['team'] == 'arsenal') & (df['position'] == 'forward') ]"
],
"language": "python",
"metadata": {},
@ -2620,6 +2680,19 @@
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> alexis s\u00e1nchez</td>\n",
" <td> 15</td>\n",
" <td> 0</td>\n",
" <td> 12</td>\n",
" <td> 7</td>\n",
" <td> 29</td>\n",
" <td> 11.19</td>\n",
" <td> 223.86</td>\n",
" <td> forward</td>\n",
" <td> arsenal</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
@ -2628,9 +2701,11 @@
"output_type": "pyout",
"prompt_number": 22,
"text": [
"Empty DataFrame\n",
"Columns: [player, salary, games, goals, assists, shots_on_target, points_per_game, points, position, team]\n",
"Index: []"
" player salary games goals assists shots_on_target \\\n",
"1 alexis s\u00e1nchez 15 0 12 7 29 \n",
"\n",
" points_per_game points position team \n",
"1 11.19 223.86 forward arsenal "
]
}
],