DataFrame.set_index()

DataFrame.set_index(keys, drop=True, append=False, inplace=False, verify_integrity=False) [source]

Set the DataFrame index (row labels) using one or more existing columns. By default yields a new object.

Parameters:

Parameters:	keys : column label or list of column labels / arrays drop : boolean, default True Delete columns to be used as the new index append : boolean, default False Whether to append columns to existing index inplace : boolean, default False Modify the DataFrame in place (do not create a new object) verify_integrity : boolean, default False Check the new index for duplicates. Otherwise defer the check until necessary. Setting to False will improve the performance of this method
Returns:	dataframe : DataFrame

keys : column label or list of column labels / arrays

drop : boolean, default True

Delete columns to be used as the new index

append : boolean, default False

Whether to append columns to existing index

inplace : boolean, default False

Modify the DataFrame in place (do not create a new object)

verify_integrity : boolean, default False

Check the new index for duplicates. Otherwise defer the check until necessary. Setting to False will improve the performance of this method

Returns:

dataframe : DataFrame

Examples

>>> indexed_df = df.set_index(['A', 'B'])
>>> indexed_df2 = df.set_index(['A', [0, 1, 2, 0, 1, 2]])
>>> indexed_df3 = df.set_index([[0, 1, 2, 0, 1, 2]])

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.DataFrame.set_index.html

doc_Pandas

2017-01-12 04:46:31

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