Cartesian.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.

The description is taken from the pandas project.

  • 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]])
Return type:Cartesian