# pandas.MultiIndex.to_hierarchical¶

MultiIndex.to_hierarchical(n_repeat, n_shuffle=1)[source]

Return a MultiIndex reshaped to conform to the shapes given by n_repeat and n_shuffle.

Useful to replicate and rearrange a MultiIndex for combination with another Index with n_repeat items.

Parameters: n_repeat : int Number of times to repeat the labels on self n_shuffle : int Controls the reordering of the labels. If the result is going to be an inner level in a MultiIndex, n_shuffle will need to be greater than one. The size of each label must divisible by n_shuffle. MultiIndex

Examples

>>> idx = MultiIndex.from_tuples([(1, u'one'), (1, u'two'),
(2, u'one'), (2, u'two')])
>>> idx.to_hierarchical(3)
MultiIndex(levels=[[1, 2], [u'one', u'two']],
labels=[[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1],
[0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1]])

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