pyspark.pandas.Index.equals¶

Index.equals(other: pyspark.pandas.indexes.base.Index) → bool¶

Determine if two Index objects contain the same elements.

Returns

bool: True if “other” is an Index and it has the same elements as calling index; False otherwise.

Examples

>>> from pyspark.pandas.config import option_context
>>> idx = ps.Index(['a', 'b', 'c'])
>>> idx.name = "name"
>>> midx = ps.MultiIndex.from_tuples([('a', 'x'), ('b', 'y'), ('c', 'z')])
>>> midx.names = ("nameA", "nameB")

For Index

>>> idx.equals(idx)
True
>>> with option_context('compute.ops_on_diff_frames', True):
...     idx.equals(ps.Index(['a', 'b', 'c']))
True
>>> with option_context('compute.ops_on_diff_frames', True):
...     idx.equals(ps.Index(['b', 'b', 'a']))
False
>>> idx.equals(midx)
False

For MultiIndex

>>> midx.equals(midx)
True
>>> with option_context('compute.ops_on_diff_frames', True):
...     midx.equals(ps.MultiIndex.from_tuples([('a', 'x'), ('b', 'y'), ('c', 'z')]))
True
>>> with option_context('compute.ops_on_diff_frames', True):
...     midx.equals(ps.MultiIndex.from_tuples([('c', 'z'), ('b', 'y'), ('a', 'x')]))
False
>>> midx.equals(idx)
False

pyspark.pandas.Index.delete

pyspark.pandas.Index.factorize