pandas.DataFrame.set_index¶
- DataFrame.set_index(keys, drop=True, append=False, inplace=False, verify_integrity=False)¶
Set the DataFrame index (row labels) using one or more existing columns. By default yields a new object.
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
>>> 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]])
dataframe : DataFrame