itholic commented on a change in pull request #34113:
URL: https://github.com/apache/spark/pull/34113#discussion_r719124229
##########
File path: python/pyspark/pandas/indexes/multi.py
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@@ -1137,6 +1137,42 @@ def intersection(self, other: Union[DataFrame, Series,
Index, List]) -> "MultiIn
)
return cast(MultiIndex, DataFrame(internal).index)
+ def equal_levels(self, other: "MultiIndex") -> bool:
+ """
+ Return True if the levels of both MultiIndex objects are the same
+
+ Examples
+ --------
+ >>> psmidx1 = ps.MultiIndex.from_tuples([("a", "x"), ("b", "y"), ("c",
"z")])
+ >>> psmidx2 = ps.MultiIndex.from_tuples([("b", "y"), ("a", "x"), ("c",
"z")])
+ >>> psmidx1.equal_levels(psmidx2)
+ True
+
+ >>> psmidx2 = ps.MultiIndex.from_tuples([("a", "x"), ("b", "y"), ("c",
"j")])
+ >>> psmidx1.equal_levels(psmidx2)
+ False
+ """
+ nlevels = self.nlevels
+ if nlevels != other.nlevels:
+ return False
+
+ self_sdf = self._internal.spark_frame
+ other_sdf = other._internal.spark_frame
+ subtract_list = []
+ for nlevel in range(nlevels):
+ self_index_scol = self._internal.index_spark_columns[nlevel]
+ other_index_scol = other._internal.index_spark_columns[nlevel]
+ self_subtract_other = self_sdf.select(self_index_scol).subtract(
Review comment:
Yeah, the equality condition of this API is,
**Is all of the unique(distinct) values of each level are the same ?**
So I think applying the `subtract` for each level of index column is satisfy
the equality condition.
Because if there is at least one different unique value, it will not be
filtered out when subtracting.
I'm afraid it will be more expensive because we have to sort before
comparing, if we want to apply `distinct` to each level.
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