Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/20962#discussion_r179044376
--- Diff: python/pyspark/sql/column.py ---
@@ -462,9 +488,39 @@ def isin(self, *cols):
>>> df.select(df.name).orderBy(df.name.desc()).collect()
[Row(name=u'Tom'), Row(name=u'Alice')]
"""
+ _desc_nulls_first_doc = """
+ Returns a sort expression based on the descending order of the given
column name and null values
+ return before non-null values
+
+ >>> from pyspark.sql import Row
+ >>> df = spark.createDataFrame([
+ ... Row(name=u'Tom', height=80),
+ ... Row(name=None, height=None),
+ ... Row(name=u'Alice', height=None)
+ ... ])
--- End diff --
I think, things like `spark.createDataFrame([('Alice', 1)], ['name',
'height'])` would be simpler.
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