pandas.DataFrame.set_index

Set the DataFrame index using existing columns.

Set the DataFrame index (row labels) using one or more existing columns or arrays (of the correct length). The index can replace the existing index or expand on it.

param keys

label or array-like or list of labels/arrays

This parameter can be either a single column key, a single array of the same length as the calling DataFrame, or a list containing an arbitrary combination of column keys and arrays. Here, “array” encompasses Series, Index, np.ndarray, and instances of Iterator.

param drop

bool, default True

Delete columns to be used as the new index.

param append

bool, default False

Whether to append columns to existing index.

param inplace

bool, default False

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

param verify_integrity

bool, default False

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

return

DataFrame Changed row labels.

Warning

This feature is currently unsupported by Intel Scalable Dataframe Compiler