pyspark.pandas.Index.equals ¶

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

确定两个 Index 对象是否包含相同的元素。

Returns

bool: 如果“other”是一个索引并且它具有与调用索引相同的元素，则为真；否则为假。

示例

           >>> 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")

          

用于索引

           >>> 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

          

对于多重索引

           >>> 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