Reynold Xin
authored
We added a bunch of higher order statistics such as skewness and kurtosis to GroupedData. I don't think they are common enough to justify being listed, since users can always use the normal statistics aggregate functions. That is to say, after this change, we won't support ```scala df.groupBy("key").kurtosis("colA", "colB") ``` However, we will still support ```scala df.groupBy("key").agg(kurtosis(col("colA")), kurtosis(col("colB"))) ``` Author: Reynold Xin <rxin@databricks.com> Closes #9446 from rxin/SPARK-11489.
Name | Last commit | Last update |
---|---|---|
.. | ||
__init__.py | ||
column.py | ||
context.py | ||
dataframe.py | ||
functions.py | ||
group.py | ||
readwriter.py | ||
tests.py | ||
types.py | ||
utils.py | ||
window.py |