Github user zero323 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16792#discussion_r99470996
--- Diff: python/pyspark/sql/dataframe.py ---
@@ -1272,16 +1272,18 @@ def replace(self, to_replace, value, subset=None):
"""Returns a new :class:`DataFrame` replacing a value with another
value.
:func:`DataFrame.replace` and :func:`DataFrameNaFunctions.replace`
are
aliases of each other.
+ Values `to_replace` and `value` should be homogeneous. Mixed
string and numeric
--- End diff --
I've seen some variation between bundled Py4j (`py4j-0.10.4-src.zip`) and
pip installed version (should be the same `py4j==0.10.4`) which suggests there
is something more going on here but I would really avoid restricting Python
users even more.
If necessary we can always proactively cast all `ints` to `floats`. It will
be an ugly hack but won't affect user code or correctness.
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