pandas.CategoricalIndex.set_names

CategoricalIndex.set_names(names, level=None, inplace=False)

Set new names on index. Defaults to returning new index.

Parameters:

names : str or sequence

name(s) to set

level : int or level name, or sequence of int / level names (default None)

If the index is a MultiIndex (hierarchical), level(s) to set (None for all levels) Otherwise level must be None

inplace : bool

if True, mutates in place

Returns:

new index (of same type and class...etc) [if inplace, returns None]

Examples

>>> Index([1, 2, 3, 4]).set_names('foo')
Int64Index([1, 2, 3, 4], dtype='int64')
>>> Index([1, 2, 3, 4]).set_names(['foo'])
Int64Index([1, 2, 3, 4], dtype='int64')
>>> idx = MultiIndex.from_tuples([(1, u'one'), (1, u'two'),
                                  (2, u'one'), (2, u'two')],
                                  names=['foo', 'bar'])
>>> idx.set_names(['baz', 'quz'])
MultiIndex(levels=[[1, 2], [u'one', u'two']],
           labels=[[0, 0, 1, 1], [0, 1, 0, 1]],
           names=[u'baz', u'quz'])
>>> idx.set_names('baz', level=0)
MultiIndex(levels=[[1, 2], [u'one', u'two']],
           labels=[[0, 0, 1, 1], [0, 1, 0, 1]],
           names=[u'baz', u'bar'])