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https://issues.apache.org/jira/browse/BEAM-9547?focusedWorklogId=488891&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-488891
]
ASF GitHub Bot logged work on BEAM-9547:
----------------------------------------
Author: ASF GitHub Bot
Created on: 23/Sep/20 04:17
Start Date: 23/Sep/20 04:17
Worklog Time Spent: 10m
Work Description: TheNeuralBit commented on a change in pull request
#12858:
URL: https://github.com/apache/beam/pull/12858#discussion_r493052627
##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -279,13 +267,23 @@ def __getattr__(self, name):
def __getitem__(self, key):
# TODO: Replicate pd.DataFrame.__getitem__ logic
- if (isinstance(key, list) and
- all(key_column in self._expr.proxy().columns
- for key_column in key)) or key in self._expr.proxy().columns:
+ if isinstance(key, frame_base.DeferredBase):
+ # Fail early if key is a DeferredBase as it interacts surprisingly with
+ # key in self._expr.proxy().columns
+ raise NotImplementedError(
+ "Indexing with a deferred frame is not yet supported. Consider "
+ "using df.loc[...]")
+
+ if (isinstance(key, list) and key_column in self._expr.proxy().columns
Review comment:
Good catch, fixed
##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -763,8 +788,9 @@ def sort_values(self, axis, **kwargs):
transform = frame_base._elementwise_method(
'transform', restrictions={'axis': 0})
- def transpose(self, *args, **kwargs):
- raise frame_base.WontImplementError('non-deferred column values')
+ transpose = frame_base.wont_implement_method('non-deferred column values')
+ pivot = frame_base.wont_implement_method('non-deferred column values')
Review comment:
Done
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Issue Time Tracking
-------------------
Worklog Id: (was: 488891)
Time Spent: 14h 40m (was: 14.5h)
> Implement all pandas operations (or raise WontImplementError)
> -------------------------------------------------------------
>
> Key: BEAM-9547
> URL: https://issues.apache.org/jira/browse/BEAM-9547
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Brian Hulette
> Assignee: Robert Bradshaw
> Priority: P2
> Time Spent: 14h 40m
> Remaining Estimate: 0h
>
> We should have an implementation for every DataFrame, Series, and GroupBy
> method. Everything that's not actually implemented should get a default
> implementation that raises WontImplementError
> See https://github.com/apache/beam/pull/10757#discussion_r389132292
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