Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/12135#discussion_r98793496
--- Diff: python/pyspark/sql/dataframe.py ---
@@ -1365,18 +1364,41 @@ def approxQuantile(self, col, probabilities,
relativeError):
Space-efficient Online Computation of Quantile Summaries]]
by Greenwald and Khanna.
- :param col: the name of the numerical column
+ Note that rows containing any null values will be removed before
calculation.
+
+ :param col: str, list.
+ Can be a single column name, or a list of names for multiple
columns.
:param probabilities: a list of quantile probabilities
Each number must belong to [0, 1].
For example 0 is the minimum, 0.5 is the median, 1 is the
maximum.
:param relativeError: The relative target precision to achieve
(>= 0). If set to zero, the exact quantiles are computed, which
could be very expensive. Note that values greater than 1 are
accepted but give the same result as 1.
- :return: the approximate quantiles at the given probabilities
+ :return: the approximate quantiles at the given probabilities. If
+ the input `col` is a string, the output is a list of float. If
the
+ input `col` is a list or tuple of strings, the output is also a
+ list, but each element in it is a list of float, i.e., the output
+ is a list of list of float.
--- End diff --
Also float -> floats here
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