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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2020/12/02 01:43:40 UTC
[GitHub] [beam] TheNeuralBit opened a new pull request #13457: [BEAM-9547] Make FakePandasObject handle inline pandas objects
TheNeuralBit opened a new pull request #13457:
URL: https://github.com/apache/beam/pull/13457
This modifies FakePandasObject to handle cases like `pd.DataFrame({'col': pd.Series(..)})`. Previously the `pd.Series` would be replaced with a DeferredSeries and passed to `pd.DataFrame`. With this change we identify DeferredBase instances in the args and replace them with their original value.
Note that this effectively duplicates the inline object in the input_env. I considered creating a computed expression that refers to the original instead, but this seems overly complicated for little benefit.
This fixes a few cases in the user guide. Before:
```
882 failed (17.7%)
2432 passed (48.8%)
```
After:
```
868 failed (17.4%)
2498 passed (50.1%)
```
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[GitHub] [beam] TheNeuralBit commented on pull request #13457: [BEAM-12530] Make FakePandasObject handle inline pandas objects
Posted by GitBox <gi...@apache.org>.
TheNeuralBit commented on pull request #13457:
URL: https://github.com/apache/beam/pull/13457#issuecomment-922030920
I'm going to revert this, as it's really only beneficial for `pandas_docs_test`, which we don't run continuously (instead relying on `frames_test` and `pandas_doctests_test` for compatibility checks.
Also I don't think this change is actually capturing the `pd.DataFrame({'col': pd.Series(..)})` case I mentioned. For that I think we'd need to modify the `_monkey_patch_type` method, rather than `FakePandasObject`, which is capturing top level functions.
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[GitHub] [beam] TheNeuralBit closed pull request #13457: [BEAM-12530] Make FakePandasObject handle inline pandas objects
Posted by GitBox <gi...@apache.org>.
TheNeuralBit closed pull request #13457:
URL: https://github.com/apache/beam/pull/13457
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