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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2020/12/02 01:44:00 UTC

[jira] [Work logged] (BEAM-9547) Implement all pandas operations (or raise WontImplementError)

     [ https://issues.apache.org/jira/browse/BEAM-9547?focusedWorklogId=518724&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-518724 ]

ASF GitHub Bot logged work on BEAM-9547:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 02/Dec/20 01:43
            Start Date: 02/Dec/20 01:43
    Worklog Time Spent: 10m 
      Work Description: 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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Issue Time Tracking
-------------------

    Worklog Id:     (was: 518724)
    Time Spent: 36h 40m  (was: 36.5h)

> 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: 36h 40m
>  Remaining Estimate: 0h
>
> We should have an implementation for every DataFrame, Series, and GroupBy method. Everything that's not possible to implement should get a default implementation that raises WontImplementError
> See https://github.com/apache/beam/pull/10757#discussion_r389132292
> Progress at the individual operation level is tracked in a [spreadsheet|https://docs.google.com/spreadsheets/d/1hHAaJ0n0k2tw465ORs5tfdy4Lg0DnGWIQ53cLjAhel0/edit], consider requesting edit access if you'd like to help out.



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