Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/12135#discussion_r60029909
--- Diff: python/pyspark/sql/dataframe.py ---
@@ -1207,8 +1222,11 @@ def approxQuantile(self, col, probabilities,
relativeError):
raise ValueError("relativeError should be numerical (float,
int, long) >= 0.")
relativeError = float(relativeError)
- jaq = self._jdf.stat().approxQuantile(col, probabilities,
relativeError)
- return list(jaq)
+ jaqs = self._jdf.stat().approxQuantileMultiCols(col,
probabilities, relativeError)
--- End diff --
You call the mult-columns version anyway no matter your input is a string
or a list. If you like to do so, then the one column version of python api is
not needed anymore.
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