mirror of
https://github.com/rasbt/python_reference.git
synced 2024-11-23 20:11:13 +00:00
Getting an Overview of the Column Types
This commit is contained in:
rasbt
parent
db6679eb9c
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{
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"metadata": {
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"name": "",
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"signature": "sha256:3155cd3fa2449393a467f91f3cdbb32eeac212db664843ef30f96b635dbfc06d"
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"signature": "sha256:2dd2df7144acb424c4be84b5679ebc4d06bf16dc6a3e0f7fd3d1ed0595479f64"
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"nbformat": 3,
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"nbformat_minor": 0,
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]
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}
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],
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"prompt_number": 1
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"prompt_number": 2
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},
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{
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"cell_type": "markdown",
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@ -98,7 +98,8 @@
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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)\n",
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"- [Updating Columns](#Updating-Columns)\n",
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"- [Chaining Conditions - Using Bitwise Operators](#Chaining-Conditions---Using-Bitwise-Operators)"
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"- [Chaining Conditions - Using Bitwise Operators](#Chaining-Conditions---Using-Bitwise-Operators)\n",
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"- [Getting an Overview of the Column Types](#Getting-an-Overview-of-the-Column-Types)"
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],
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 2,
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"prompt_number": 3,
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"text": [
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" PLAYER SALARY GP G A SOT \\\n",
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"0 Sergio Ag\u00fcero\\n Forward \u2014 Manchester City $19.2m 16 14 3 34 \n",
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"prompt_number": 2
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],
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 3,
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"prompt_number": 4,
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"text": [
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" player salary gp g a sot ppg \\\n",
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"7 Cesc F\u00e0bregas\\n Midfield \u2014 Chelsea $14.0m 20 2 14 10 10.47 \n",
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]
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}
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],
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"prompt_number": 3
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"prompt_number": 4
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"cell_type": "markdown",
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],
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 4,
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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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]
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"prompt_number": 4
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"prompt_number": 5
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"cell_type": "markdown",
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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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"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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]
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}
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"metadata": {},
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"output_type": "pyout",
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"prompt_number": 6,
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"prompt_number": 7,
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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 14.0 20 2 14 \n",
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"metadata": {},
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"prompt_number": 7,
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"prompt_number": 8,
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"text": [
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" player salary games goals assists shots_on_target \\\n",
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"7 Cesc F\u00e0bregas 14.0 20 2 14 10 \n",
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"metadata": {},
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"prompt_number": 8,
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"prompt_number": 9,
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"text": [
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" player salary games goals assists shots_on_target \\\n",
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"0 sergio ag\u00fcero 19.2 16 14 3 34 \n",
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"text": [
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" player salary games goals assists shots_on_target \\\n",
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"4 \u00e1ngel di mar\u00eda 15.0 13 3 NaN 13 \n",
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"text": [
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" player salary games goals assists shots_on_target \\\n",
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"0 sergio ag\u00fcero 19.2 16 14 3 34 \n",
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"text": [
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" player salary games goals assists shots_on_target \\\n",
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"0 sergio ag\u00fcero 19.2 16 14 3 34 \n",
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"text": [
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" player salary games goals assists shots_on_target \\\n",
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"8 saido berahino 13.8 21 9 0 20 \n",
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"text": [
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" player salary games goals assists shots_on_target \\\n",
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"text": [
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" player salary games goals assists shots_on_target \\\n",
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"0 sergio ag\u00fcero 19.2 16 14 3 34 \n",
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"text": [
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" player salary games goals assists shots_on_target \\\n",
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"1 sergio ag\u00fcero 19.2 16 14 3 34 \n",
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"text": [
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" player salary games goals assists shots_on_target \\\n",
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"1 sergio ag\u00fcero 20 16 14 3 34 \n",
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"prompt_number": 19,
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"text": [
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" salary games goals assists shots_on_target \\\n",
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"player \n",
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]
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"text": [
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"text": [
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"text": [
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" player salary games goals assists shots_on_target \\\n",
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"1 alexis s\u00e1nchez 15 0 12 7 29 \n",
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"text": [
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"metadata": {},
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"source": [
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"<br>\n",
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"<br>"
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"cell_type": "heading",
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"level": 1,
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"metadata": {},
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"source": [
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"Getting an Overview of the Column Types"
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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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"cell_type": "code",
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"collapsed": false,
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"input": [
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"types = df.columns.to_series().groupby(df.dtypes).groups\n",
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"for t in types.items():\n",
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" print(t)"
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"stream": "stdout",
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"text": [
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"(dtype('O'), ['player', 'salary', 'position', 'team'])\n",
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"(dtype('float64'), ['games', 'goals', 'assists', 'shots_on_target', 'points_per_game', 'points'])\n"
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"cell_type": "code",
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"input": [],
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"outputs": []
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"metadata": {}
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Reference in New Issue
Block a user