pyspark.pandas.MultiIndex.identical¶
-
MultiIndex.
identical
(other: pyspark.pandas.indexes.base.Index) → bool¶ Similar to equals, but check that other comparable attributes are also equal.
- Returns
- bool
If two Index objects have equal elements and same type True, otherwise False.
Examples
>>> from pyspark.pandas.config import option_context >>> idx = ps.Index(['a', 'b', 'c']) >>> midx = ps.MultiIndex.from_tuples([('a', 'x'), ('b', 'y'), ('c', 'z')])
For Index
>>> idx.identical(idx) True >>> with option_context('compute.ops_on_diff_frames', True): ... idx.identical(ps.Index(['a', 'b', 'c'])) True >>> with option_context('compute.ops_on_diff_frames', True): ... idx.identical(ps.Index(['b', 'b', 'a'])) False >>> idx.identical(midx) False
For MultiIndex
>>> midx.identical(midx) True >>> with option_context('compute.ops_on_diff_frames', True): ... midx.identical(ps.MultiIndex.from_tuples([('a', 'x'), ('b', 'y'), ('c', 'z')])) True >>> with option_context('compute.ops_on_diff_frames', True): ... midx.identical(ps.MultiIndex.from_tuples([('c', 'z'), ('b', 'y'), ('a', 'x')])) False >>> midx.identical(idx) False