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# 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.

  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

  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]])

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