mirror of
https://github.com/rasbt/python_reference.git
synced 2024-11-23 20:11:13 +00:00
added comments
This commit is contained in:
rasbt
parent
bd089d2b1e
commit
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@ -220,4 +220,3 @@
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- [scikit-learn](http://scikit-learn.org/stable/) - A powerful machine learning library for Python and tools for efficient data mining and analysis.
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@ -1,7 +1,7 @@
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{
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"metadata": {
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||||
"name": "",
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||||
"signature": "sha256:01adffebfb99d8e7a86af443b9d14ca7695efc917465ea85868cc42681d6e96b"
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||||
"signature": "sha256:1ba931b3466a0506e031f8b9bdffcb2ba39138b42f3676b74376988bf095be97"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -88,6 +88,7 @@
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"- [Missing Values aka NaNs](#Missing-Values-aka-NaNs)\n",
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" - [Selecting NaN Rows](#Selecting-NaN-Rows)\n",
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" - [Dropping NaN Rows](#Dropping-NaN-Rows)\n",
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" - [Filling NaN Rows](#Filling-NaN-Rows)\n",
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"- [Appending Rows to a DataFrame](#Appending-Rows-to-a-DataFrame)\n",
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"- [Sorting and Reindexing DataFrames](#Sorting-and-Reindexing-DataFrames)"
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]
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@ -328,6 +329,10 @@
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"# Converting column names to lowercase\n",
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"\n",
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"df.columns = [c.lower() for c in df.columns]\n",
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"\n",
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"# or\n",
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"# df.rename(columns=lambda x : x.lower())\n",
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"\n",
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"df.tail()"
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],
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"language": "python",
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@ -572,6 +577,117 @@
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"[[back to section overview](#Sections)]"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Processing `salary` column\n",
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"\n",
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"df['salary'] = df['salary'].apply(lambda x: x.strip('$m'))\n",
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"df.tail()"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"html": [
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"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>player</th>\n",
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" <th>salary</th>\n",
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" <th>games</th>\n",
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" <th>goals</th>\n",
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" <th>assists</th>\n",
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" <th>shots_on_target</th>\n",
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" <th>points_per_game</th>\n",
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" <th>points</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td> Santiago Cazorla\\n Midfield \u2014 Arsenal</td>\n",
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" <td> 14.8</td>\n",
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" <td> 20</td>\n",
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" <td> 4</td>\n",
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" <td>NaN</td>\n",
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" <td> 20</td>\n",
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" <td> 9.97</td>\n",
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" <td> NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <td> David Silva\\n Midfield \u2014 Manchester City</td>\n",
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" <td> 14.3</td>\n",
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" <td> 15</td>\n",
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" <td> 6</td>\n",
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" <td> 2</td>\n",
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" <td> 11</td>\n",
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" <td> 10.35</td>\n",
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" <td> 155.26</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td> Cesc F\u00e0bregas\\n Midfield \u2014 Chelsea</td>\n",
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" <td> 14.0</td>\n",
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" <td> 20</td>\n",
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" <td> 2</td>\n",
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" <td> 14</td>\n",
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" <td> 10</td>\n",
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" <td> 10.47</td>\n",
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" <td> 209.49</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
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" <td> Saido Berahino\\n Forward \u2014 West Brom</td>\n",
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" <td> 13.8</td>\n",
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" <td> 21</td>\n",
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" <td> 9</td>\n",
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" <td> 0</td>\n",
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" <td> 20</td>\n",
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" <td> 7.02</td>\n",
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" <td> 147.43</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9</th>\n",
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" <td> Steven Gerrard\\n Midfield \u2014 Liverpool</td>\n",
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" <td> 13.8</td>\n",
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" <td> 20</td>\n",
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" <td> 5</td>\n",
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" <td> 1</td>\n",
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" <td> 11</td>\n",
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" <td> 7.50</td>\n",
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" <td> 150.01</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 5,
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"text": [
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" player salary games goals assists \\\n",
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"5 Santiago Cazorla\\n Midfield \u2014 Arsenal 14.8 20 4 NaN \n",
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"6 David Silva\\n Midfield \u2014 Manchester City 14.3 15 6 2 \n",
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"7 Cesc F\u00e0bregas\\n Midfield \u2014 Chelsea 14.0 20 2 14 \n",
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"8 Saido Berahino\\n Forward \u2014 West Brom 13.8 21 9 0 \n",
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"9 Steven Gerrard\\n Midfield \u2014 Liverpool 13.8 20 5 1 \n",
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"\n",
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" shots_on_target points_per_game points \n",
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"5 20 9.97 NaN \n",
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"6 11 10.35 155.26 \n",
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"7 10 10.47 209.49 \n",
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"8 20 7.02 147.43 \n",
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"9 11 7.50 150.01 "
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]
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}
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],
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"prompt_number": 5
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},
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{
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"cell_type": "code",
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"collapsed": false,
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@ -579,6 +695,10 @@
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"# Creating a new column\n",
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"\n",
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"df['team'] = pd.Series('', index=df.index)\n",
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"\n",
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"# or\n",
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"# df.insert(loc=9, column='team', value='') \n",
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"\n",
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"df.tail(3)"
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],
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"language": "python",
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@ -606,119 +726,6 @@
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" <tr>\n",
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" <th>7</th>\n",
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" <td> Cesc F\u00e0bregas\\n Midfield \u2014 Chelsea</td>\n",
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" <td> $14.0m</td>\n",
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" <td> 20</td>\n",
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" <td> 2</td>\n",
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" <td> 14</td>\n",
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" <td> 10</td>\n",
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" <td> 10.47</td>\n",
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" <td> 209.49</td>\n",
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" <td> </td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
|
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" <td> Saido Berahino\\n Forward \u2014 West Brom</td>\n",
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" <td> $13.8m</td>\n",
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" <td> 21</td>\n",
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" <td> 9</td>\n",
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" <td> 0</td>\n",
|
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" <td> 20</td>\n",
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" <td> 7.02</td>\n",
|
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" <td> 147.43</td>\n",
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" <td> </td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9</th>\n",
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" <td> Steven Gerrard\\n Midfield \u2014 Liverpool</td>\n",
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" <td> $13.8m</td>\n",
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" <td> 20</td>\n",
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" <td> 5</td>\n",
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" <td> 1</td>\n",
|
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" <td> 11</td>\n",
|
||||
" <td> 7.50</td>\n",
|
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" <td> 150.01</td>\n",
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" <td> </td>\n",
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" </tr>\n",
|
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" </tbody>\n",
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"</table>\n",
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"</div>"
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||||
],
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 5,
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"text": [
|
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" player salary games goals assists \\\n",
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"7 Cesc F\u00e0bregas\\n Midfield \u2014 Chelsea $14.0m 20 2 14 \n",
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"8 Saido Berahino\\n Forward \u2014 West Brom $13.8m 21 9 0 \n",
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"9 Steven Gerrard\\n Midfield \u2014 Liverpool $13.8m 20 5 1 \n",
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"\n",
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" shots_on_target points_per_game points team \n",
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"7 10 10.47 209.49 \n",
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"8 20 7.02 147.43 \n",
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"9 11 7.50 150.01 "
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]
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}
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],
|
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"prompt_number": 5
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},
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{
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||||
"cell_type": "code",
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||||
"collapsed": false,
|
||||
"input": [
|
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"# Processing `salary` column\n",
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"\n",
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"df['salary'] = df['salary'].apply(lambda x: x.strip('$m'))\n",
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"df.tail()"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"html": [
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||||
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
|
||||
"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>player</th>\n",
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" <th>salary</th>\n",
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" <th>games</th>\n",
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" <th>goals</th>\n",
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" <th>assists</th>\n",
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" <th>shots_on_target</th>\n",
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" <th>points_per_game</th>\n",
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" <th>points</th>\n",
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" <th>team</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td> Santiago Cazorla\\n Midfield \u2014 Arsenal</td>\n",
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" <td> 14.8</td>\n",
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" <td> 20</td>\n",
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" <td> 4</td>\n",
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" <td>NaN</td>\n",
|
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" <td> 20</td>\n",
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" <td> 9.97</td>\n",
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" <td> NaN</td>\n",
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" <td> </td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <td> David Silva\\n Midfield \u2014 Manchester City</td>\n",
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" <td> 14.3</td>\n",
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" <td> 15</td>\n",
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" <td> 6</td>\n",
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" <td> 2</td>\n",
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" <td> 11</td>\n",
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" <td> 10.35</td>\n",
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" <td> 155.26</td>\n",
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" <td> </td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td> Cesc F\u00e0bregas\\n Midfield \u2014 Chelsea</td>\n",
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" <td> 14.0</td>\n",
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" <td> 20</td>\n",
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" <td> 2</td>\n",
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@ -730,7 +737,7 @@
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
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" <td> Saido Berahino\\n Forward \u2014 West Brom</td>\n",
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" <td> Saido Berahino\\n Forward \u2014 West Brom</td>\n",
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" <td> 13.8</td>\n",
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" <td> 21</td>\n",
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" <td> 9</td>\n",
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@ -742,7 +749,7 @@
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" </tr>\n",
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" <tr>\n",
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" <th>9</th>\n",
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" <td> Steven Gerrard\\n Midfield \u2014 Liverpool</td>\n",
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" <td> Steven Gerrard\\n Midfield \u2014 Liverpool</td>\n",
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" <td> 13.8</td>\n",
|
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" <td> 20</td>\n",
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" <td> 5</td>\n",
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@ -760,16 +767,12 @@
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"output_type": "pyout",
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"prompt_number": 6,
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"text": [
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" player salary games goals assists \\\n",
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"5 Santiago Cazorla\\n Midfield \u2014 Arsenal 14.8 20 4 NaN \n",
|
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"6 David Silva\\n Midfield \u2014 Manchester City 14.3 15 6 2 \n",
|
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"7 Cesc F\u00e0bregas\\n Midfield \u2014 Chelsea 14.0 20 2 14 \n",
|
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"8 Saido Berahino\\n Forward \u2014 West Brom 13.8 21 9 0 \n",
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"9 Steven Gerrard\\n Midfield \u2014 Liverpool 13.8 20 5 1 \n",
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" player salary games goals assists \\\n",
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"7 Cesc F\u00e0bregas\\n Midfield \u2014 Chelsea 14.0 20 2 14 \n",
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"8 Saido Berahino\\n Forward \u2014 West Brom 13.8 21 9 0 \n",
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"9 Steven Gerrard\\n Midfield \u2014 Liverpool 13.8 20 5 1 \n",
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"\n",
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" shots_on_target points_per_game points team \n",
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"5 20 9.97 NaN \n",
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"6 11 10.35 155.26 \n",
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"7 10 10.47 209.49 \n",
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"8 20 7.02 147.43 \n",
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"9 11 7.50 150.01 "
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@ -1229,6 +1232,227 @@
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"<br>"
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]
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},
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{
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"cell_type": "heading",
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"level": 2,
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||||
"metadata": {},
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||||
"source": [
|
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"Filling NaN Rows"
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]
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||||
},
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||||
{
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||||
"cell_type": "markdown",
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"metadata": {},
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||||
"source": [
|
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"[[back to section overview](#Sections)]"
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||||
]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"# Filling NaN cells with default value 0\n",
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"\n",
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"df = df.fillna(value=0)\n",
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"df"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"html": [
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"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>player</th>\n",
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" <th>salary</th>\n",
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" <th>games</th>\n",
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" <th>goals</th>\n",
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" <th>assists</th>\n",
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" <th>shots_on_target</th>\n",
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" <th>points_per_game</th>\n",
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" <th>points</th>\n",
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" <th>team</th>\n",
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" <th>position</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
|
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" <td> Sergio Ag\u00fcero</td>\n",
|
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" <td> 19.2</td>\n",
|
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" <td> 16</td>\n",
|
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" <td> 14</td>\n",
|
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" <td> 3</td>\n",
|
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" <td> 34</td>\n",
|
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" <td> 13.12</td>\n",
|
||||
" <td> 209.98</td>\n",
|
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" <td> Manchester City</td>\n",
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" <td> Forward</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td> Eden Hazard</td>\n",
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" <td> 18.9</td>\n",
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" <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> Chelsea</td>\n",
|
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" <td> Midfield</td>\n",
|
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
|
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" <td> Alexis S\u00e1nchez</td>\n",
|
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" <td> 17.6</td>\n",
|
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" <td> 0</td>\n",
|
||||
" <td> 12</td>\n",
|
||||
" <td> 7</td>\n",
|
||||
" <td> 29</td>\n",
|
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" <td> 11.19</td>\n",
|
||||
" <td> 223.86</td>\n",
|
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" <td> Arsenal</td>\n",
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" <td> Forward</td>\n",
|
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
|
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" <td> Yaya Tour\u00e9</td>\n",
|
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" <td> 16.6</td>\n",
|
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" <td> 18</td>\n",
|
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" <td> 7</td>\n",
|
||||
" <td> 1</td>\n",
|
||||
" <td> 19</td>\n",
|
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" <td> 10.99</td>\n",
|
||||
" <td> 197.91</td>\n",
|
||||
" <td> Manchester City</td>\n",
|
||||
" <td> Midfield</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td> \u00c1ngel Di Mar\u00eda</td>\n",
|
||||
" <td> 15.0</td>\n",
|
||||
" <td> 13</td>\n",
|
||||
" <td> 3</td>\n",
|
||||
" <td> 0</td>\n",
|
||||
" <td> 13</td>\n",
|
||||
" <td> 10.17</td>\n",
|
||||
" <td> 132.23</td>\n",
|
||||
" <td> Manchester United</td>\n",
|
||||
" <td> Midfield</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>5</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> Arsenal</td>\n",
|
||||
" <td> Midfield</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>6</th>\n",
|
||||
" <td> David Silva</td>\n",
|
||||
" <td> 14.3</td>\n",
|
||||
" <td> 15</td>\n",
|
||||
" <td> 6</td>\n",
|
||||
" <td> 2</td>\n",
|
||||
" <td> 11</td>\n",
|
||||
" <td> 10.35</td>\n",
|
||||
" <td> 155.26</td>\n",
|
||||
" <td> Manchester City</td>\n",
|
||||
" <td> Midfield</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>7</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> Chelsea</td>\n",
|
||||
" <td> Midfield</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>8</th>\n",
|
||||
" <td> Saido Berahino</td>\n",
|
||||
" <td> 13.8</td>\n",
|
||||
" <td> 21</td>\n",
|
||||
" <td> 9</td>\n",
|
||||
" <td> 0</td>\n",
|
||||
" <td> 20</td>\n",
|
||||
" <td> 7.02</td>\n",
|
||||
" <td> 147.43</td>\n",
|
||||
" <td> West Brom</td>\n",
|
||||
" <td> Forward</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>9</th>\n",
|
||||
" <td> Steven Gerrard</td>\n",
|
||||
" <td> 13.8</td>\n",
|
||||
" <td> 20</td>\n",
|
||||
" <td> 5</td>\n",
|
||||
" <td> 1</td>\n",
|
||||
" <td> 11</td>\n",
|
||||
" <td> 7.50</td>\n",
|
||||
" <td> 150.01</td>\n",
|
||||
" <td> Liverpool</td>\n",
|
||||
" <td> Midfield</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div>"
|
||||
],
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 10,
|
||||
"text": [
|
||||
" player salary games goals assists shots_on_target \\\n",
|
||||
"0 Sergio Ag\u00fcero 19.2 16 14 3 34 \n",
|
||||
"1 Eden Hazard 18.9 21 8 4 17 \n",
|
||||
"2 Alexis S\u00e1nchez 17.6 0 12 7 29 \n",
|
||||
"3 Yaya Tour\u00e9 16.6 18 7 1 19 \n",
|
||||
"4 \u00c1ngel Di Mar\u00eda 15.0 13 3 0 13 \n",
|
||||
"5 Santiago Cazorla 14.8 20 4 0 20 \n",
|
||||
"6 David Silva 14.3 15 6 2 11 \n",
|
||||
"7 Cesc F\u00e0bregas 14.0 20 2 14 10 \n",
|
||||
"8 Saido Berahino 13.8 21 9 0 20 \n",
|
||||
"9 Steven Gerrard 13.8 20 5 1 11 \n",
|
||||
"\n",
|
||||
" points_per_game points team position \n",
|
||||
"0 13.12 209.98 Manchester City Forward \n",
|
||||
"1 13.05 274.04 Chelsea Midfield \n",
|
||||
"2 11.19 223.86 Arsenal Forward \n",
|
||||
"3 10.99 197.91 Manchester City Midfield \n",
|
||||
"4 10.17 132.23 Manchester United Midfield \n",
|
||||
"5 9.97 0.00 Arsenal Midfield \n",
|
||||
"6 10.35 155.26 Manchester City Midfield \n",
|
||||
"7 10.47 209.49 Chelsea Midfield \n",
|
||||
"8 7.02 147.43 West Brom Forward \n",
|
||||
"9 7.50 150.01 Liverpool Midfield "
|
||||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 10
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"<br>\n",
|
||||
"<br>"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "heading",
|
||||
"level": 1,
|
||||
|
|
@ -1250,8 +1474,10 @@
|
|||
"input": [
|
||||
"# Adding an \"empty\" row to the DataFrame\n",
|
||||
"\n",
|
||||
"import numpy as np\n",
|
||||
"\n",
|
||||
"df = df.append(pd.Series(\n",
|
||||
" [None]*len(df.columns), # Fill cells with NaNs\n",
|
||||
" [np.nan]*len(df.columns), # Fill cells with NaNs\n",
|
||||
" index=df.columns), \n",
|
||||
" ignore_index=True)\n",
|
||||
"\n",
|
||||
|
|
@ -1351,7 +1577,7 @@
|
|||
],
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 10,
|
||||
"prompt_number": 11,
|
||||
"text": [
|
||||
" player salary games goals assists shots_on_target \\\n",
|
||||
"6 David Silva 14.3 15 6 2 11 \n",
|
||||
|
|
@ -1369,7 +1595,7 @@
|
|||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 10
|
||||
"prompt_number": 11
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
|
|
@ -1475,7 +1701,7 @@
|
|||
],
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 11,
|
||||
"prompt_number": 12,
|
||||
"text": [
|
||||
" player salary games goals assists shots_on_target \\\n",
|
||||
"6 David Silva 14.3 15 6 2 11 \n",
|
||||
|
|
@ -1493,7 +1719,7 @@
|
|||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 11
|
||||
"prompt_number": 12
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
|
|
@ -1567,7 +1793,7 @@
|
|||
" <th>2</th>\n",
|
||||
" <td> Alexis S\u00e1nchez</td>\n",
|
||||
" <td> 17.6</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" <td> 0</td>\n",
|
||||
" <td> 12</td>\n",
|
||||
" <td> 7</td>\n",
|
||||
" <td> 29</td>\n",
|
||||
|
|
@ -1621,11 +1847,11 @@
|
|||
],
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 12,
|
||||
"prompt_number": 13,
|
||||
"text": [
|
||||
" player salary games goals assists shots_on_target \\\n",
|
||||
"0 Sergio Ag\u00fcero 19.2 16 14 3 34 \n",
|
||||
"2 Alexis S\u00e1nchez 17.6 NaN 12 7 29 \n",
|
||||
"2 Alexis S\u00e1nchez 17.6 0 12 7 29 \n",
|
||||
"8 Saido Berahino 13.8 21 9 0 20 \n",
|
||||
"1 Eden Hazard 18.9 21 8 4 17 \n",
|
||||
"3 Yaya Tour\u00e9 16.6 18 7 1 19 \n",
|
||||
|
|
@ -1639,7 +1865,7 @@
|
|||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 12
|
||||
"prompt_number": 13
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
|
|
@ -1690,7 +1916,7 @@
|
|||
" <th>2</th>\n",
|
||||
" <td> Alexis S\u00e1nchez</td>\n",
|
||||
" <td> 17.6</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" <td> 0</td>\n",
|
||||
" <td> 12</td>\n",
|
||||
" <td> 7</td>\n",
|
||||
" <td> 29</td>\n",
|
||||
|
|
@ -1744,11 +1970,11 @@
|
|||
],
|
||||
"metadata": {},
|
||||
"output_type": "pyout",
|
||||
"prompt_number": 13,
|
||||
"prompt_number": 14,
|
||||
"text": [
|
||||
" player salary games goals assists shots_on_target \\\n",
|
||||
"1 Sergio Ag\u00fcero 19.2 16 14 3 34 \n",
|
||||
"2 Alexis S\u00e1nchez 17.6 NaN 12 7 29 \n",
|
||||
"2 Alexis S\u00e1nchez 17.6 0 12 7 29 \n",
|
||||
"3 Saido Berahino 13.8 21 9 0 20 \n",
|
||||
"4 Eden Hazard 18.9 21 8 4 17 \n",
|
||||
"5 Yaya Tour\u00e9 16.6 18 7 1 19 \n",
|
||||
|
|
@ -1762,7 +1988,7 @@
|
|||
]
|
||||
}
|
||||
],
|
||||
"prompt_number": 13
|
||||
"prompt_number": 14
|
||||
}
|
||||
],
|
||||
"metadata": {}
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user