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[SPARK-30464][PYTHON][DOCS] Explicitly note that we don't add "pandas compatible" aliases #27142

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[SPARK-30464][PYTHON][DOCS] Explicitly note that we don't add "pandas compatible" aliases #27142

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Explicitly note that we don't add "pandas compatible" aliases
HyukjinKwon Jan 9, 2020
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HyukjinKwon Jan 9, 2020
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17 changes: 9 additions & 8 deletions python/pyspark/sql/dataframe.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2135,10 +2135,16 @@ def transform(self, func):
"should have been DataFrame." % type(result)
return result

##########################################################################################
# Pandas compatibility
##########################################################################################
where = copy_func(
filter,
sinceversion=1.3,
doc=":func:`where` is an alias for :func:`filter`.")

# Two aliases below were added for pandas compatibility many years ago.
# There are too many differences compared to pandas and we cannot just
# make it "compatible" by adding aliases. Therefore, we stop adding such
# aliases as of Spark 3.0. Two methods below remain just
# for legacy users currently.
groupby = copy_func(
groupBy,
sinceversion=1.4,
Expand All @@ -2149,11 +2155,6 @@ def transform(self, func):
sinceversion=1.4,
doc=":func:`drop_duplicates` is an alias for :func:`dropDuplicates`.")

where = copy_func(
filter,
sinceversion=1.3,
doc=":func:`where` is an alias for :func:`filter`.")


def _to_scala_map(sc, jm):
"""
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