TheNeuralBit commented on code in PR #22174:
URL: https://github.com/apache/beam/pull/22174#discussion_r917413791
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sdks/python/apache_beam/dataframe/frames.py:
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@@ -1577,6 +1578,17 @@ def std(self, *args, **kwargs):
# Compute variance (deferred scalar) with same args, then sqrt it
return self.var(*args, **kwargs).apply(lambda var: math.sqrt(var))
+ @frame_base.with_docs_from(pd.Series)
+ @frame_base.args_to_kwargs(pd.Series)
+ @frame_base.populate_defaults(pd.Series)
+ def mean(self, skipna, **kwargs):
Review Comment:
That's actually what the decorators do - populate_defaults pulls the default
values from the panda implementation of the function, so we don't have to
duplicate them here.
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