Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/5274#discussion_r27438835
--- Diff: python/pyspark/sql/dataframe.py ---
@@ -697,6 +697,83 @@ def subtract(self, other):
"""
return DataFrame(getattr(self._jdf, "except")(other._jdf),
self.sql_ctx)
+ def dropna(self, how='any', thresh=None, subset=None):
+ """Returns a new :class:`DataFrame` omitting rows with null values.
+
+ :param how: 'any' or 'all'.
+ If 'any', drop a row if it contains any nulls.
+ If 'all', drop a row only if all its values are null.
+ :param thresh: int, default None
+ If specified, drop rows that have less than `thresh` non-null
values.
+ This overwrites the `how` parameter.
+ :param subset: optional list of column names to consider.
+
+ >>> df4.dropna().show()
+ age height name
+ 10 80 Alice
+ """
+ if subset is None:
+ subset = self.columns
+ elif isinstance(subset, basestring):
+ subset = [subset]
+ elif not isinstance(subset, (list, tuple)):
+ raise ValueError("subset should be a list or tuple of column
names")
+
+ if thresh is None:
+ thresh = len(subset) if how == 'any' else 1
--- End diff --
did you mean adding an explicit check?
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