reorder_levels(self, order) -> 'MultiIndex'
List representing new level order. Reference level by number (position) or by key (label).
Rearrange levels using input order. May not drop or duplicate levels.
>>> mi = pd.MultiIndex.from_arrays([[1, 2], [3, 4]], names=['x', 'y'])This example is valid syntax, but we were not able to check execution
... mi MultiIndex([(1, 3), (2, 4)], names=['x', 'y'])
>>> mi.reorder_levels(order=[1, 0]) MultiIndex([(3, 1), (4, 2)], names=['y', 'x'])This example is valid syntax, but we were not able to check execution
>>> mi.reorder_levels(order=['y', 'x']) MultiIndex([(3, 1), (4, 2)], names=['y', 'x'])See :
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