TheNeuralBit commented on a change in pull request #14382:
URL: https://github.com/apache/beam/pull/14382#discussion_r610871490
##########
File path: sdks/python/apache_beam/dataframe/frame_base.py
##########
@@ -356,6 +374,85 @@ def wrapper(*args, **kwargs):
return wrap
+BEAM_SPECIFIC = "Differences from pandas"
+
+SECTION_ORDER = [
+ 'Parameters',
+ 'Returns',
+ 'Raises',
+ BEAM_SPECIFIC,
+ 'See Also',
+ 'Notes',
+ 'Examples'
+]
+
+EXAMPLES_DISCLAIMER = (
+ "**NOTE:** These examples are pulled directly from the pandas
documentation "
+ "for convenience. The Beam DataFrame API will look different because it is
"
Review comment:
Done
##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -1215,17 +1267,22 @@ def aggregate(self, func, axis=0, *args, **kwargs):
agg = aggregate
- applymap = frame_base._elementwise_method('applymap')
+ applymap = frame_base._elementwise_method('applymap', base=pd.DataFrame)
memory_usage = frame_base.wont_implement_method('non-deferred value')
info = frame_base.wont_implement_method('non-deferred value')
clip = frame_base._elementwise_method(
- 'clip', restrictions={'axis': lambda axis: axis in (0, 'index')})
+ 'clip', restrictions={'axis': lambda axis: axis in (0, 'index')},
base=pd.DataFrame)
+ @frame_base.with_docs_from(pd.DataFrame)
@frame_base.args_to_kwargs(pd.DataFrame)
@frame_base.populate_defaults(pd.DataFrame)
def corr(self, method, min_periods):
+ """Only ``method="pearson"`` can be parallelized, other methods require
Review comment:
Done
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