Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/7114#discussion_r33605061
--- Diff: python/pyspark/sql/functions.py ---
@@ -299,6 +302,22 @@ def countDistinct(col, *cols):
return Column(jc)
+@since(1.5)
+def e():
+ """
+ Returns the float value that is closer than any other to e, the base
of the natural
+ logarithms.
+
+ >>> e = sqlContext.createDataFrame([(1,)],
['a']).select((e()).alias('e')).collect()
--- End diff --
You can use the default `df`, also first() will be better than `collect()`
in this case.
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