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https://issues.apache.org/jira/browse/BEAM-11542?focusedWorklogId=539703&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-539703
]
ASF GitHub Bot logged work on BEAM-11542:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 22/Jan/21 06:03
Start Date: 22/Jan/21 06:03
Worklog Time Spent: 10m
Work Description: TheNeuralBit commented on a change in pull request
#13637:
URL: https://github.com/apache/beam/pull/13637#discussion_r562292409
##########
File path: sdks/python/apache_beam/dataframe/frames.py
##########
@@ -1503,10 +1506,32 @@ def unstack(self, *args, **kwargs):
@populate_not_implemented(pd.core.groupby.generic.DataFrameGroupBy)
class DeferredGroupBy(frame_base.DeferredFrame):
- def __init__(self, expr, kwargs):
+ def __init__(self, expr, kwargs,
+ ungrouped: DeferredDataFrameOrSeries, projection=None):
super(DeferredGroupBy, self).__init__(expr)
+ # This object represents the result of:
+ # ungrouped.groupby(level=list(range(ungrouped.index.nlevels),
+ # **kwargs)[projection]
+ self._ungrouped = ungrouped
+ self._projection = projection
self._kwargs = kwargs
+ def __getattr__(self, name):
+ return DeferredGroupBy(expressions.ComputedExpression(
+ 'groupby_project',
+ lambda gb: getattr(gb, name), [self._expr],
+ requires_partition_by=partitionings.Nothing(),
+ preserves_partition_by=partitionings.Singleton()),
+ self._kwargs, self._ungrouped, name)
Review comment:
Good catch, done.
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Issue Time Tracking
-------------------
Worklog Id: (was: 539703)
Time Spent: 2h 10m (was: 2h)
> Support projecting groupbys
> ---------------------------
>
> Key: BEAM-11542
> URL: https://issues.apache.org/jira/browse/BEAM-11542
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Brian Hulette
> Assignee: Brian Hulette
> Priority: P2
> Labels: dataframe-api
> Time Spent: 2h 10m
> Remaining Estimate: 0h
>
> For example: df.groupby('foo').bar.sum(), or df.groupby('foo')['bar'].sum()
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