Added test to confrim categorical perservation with merge #52810
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rhshadrach
added
Reshaping
phofl
reviewed
Apr 21, 2023
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| def test_merge_perserve_categorical_index(): | ||
| # gh37480 | ||
| df1 = pd.DataFrame({'x': [i for i in range(10)], 'y': [i for i in range(10)], |
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You can do range(10) instead of [i for i in range(10)]
| 'z': [i for i in range(10)], 'd': [i for i in range(10)]}) | ||
| df2 = df1.astype({'x':'category', 'y':'category', 'z':'category'}) | ||
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| df3 = df2.iloc[:10, :].groupby(['z', 'x'], observed=True).agg({'d': 'sum'}) |
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Why are you doing a groupby here?
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| result = pd.merge(df3, df4, left_index=True, right_index=True, how='outer') | ||
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| assert(result.index.dtypes == 'category').all() |
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Please always check the whole object with tm.assert_frame_equal()
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This pull request is stale because it has been open for thirty days with no activity. Please update and respond to this comment if you're still interested in working on this. |
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Thanks for the pull request, but it appears to have gone stale. If interested in continuing, please merge in the main branch, address any review comments and/or failing tests, and we can reopen. |
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doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.