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Getting an Overview of the Column Types

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rasbt 2015-01-28 22:31:23 -05:00
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tutorials/things_in_pandas.ipynb
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"- [Appending Rows to a DataFrame](#Appending-Rows-to-a-DataFrame)\n", "- [Appending Rows to a DataFrame](#Appending-Rows-to-a-DataFrame)\n",
"- [Sorting and Reindexing DataFrames](#Sorting-and-Reindexing-DataFrames)\n", "- [Sorting and Reindexing DataFrames](#Sorting-and-Reindexing-DataFrames)\n",
"- [Updating Columns](#Updating-Columns)\n", "- [Updating Columns](#Updating-Columns)\n",
"- [Chaining Conditions - Using Bitwise Operators](#Chaining-Conditions---Using-Bitwise-Operators)" "- [Chaining Conditions - Using Bitwise Operators](#Chaining-Conditions---Using-Bitwise-Operators)\n",
"- [Getting an Overview of the Column Types](#Getting-an-Overview-of-the-Column-Types)"
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" PLAYER SALARY GP G A SOT \\\n", " PLAYER SALARY GP G A SOT \\\n",
"0 Sergio Ag\u00fcero\\n Forward \u2014 Manchester City $19.2m 16 14 3 34 \n", "0 Sergio Ag\u00fcero\\n Forward \u2014 Manchester City $19.2m 16 14 3 34 \n",
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"Getting an Overview of the Column Types"
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"[[back to section overview](#Sections)]"
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"types = df.columns.to_series().groupby(df.dtypes).groups\n",
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"text": [
"(dtype('O'), ['player', 'salary', 'position', 'team'])\n",
"(dtype('float64'), ['games', 'goals', 'assists', 'shots_on_target', 'points_per_game', 'points'])\n"
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