ENH: Add defaultdict support for dtype in read_csv #46051
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phofl
commented
Feb 18, 2022
| if isinstance(col, int) and col not in self.orig_names: | ||
| col = self.orig_names[col] | ||
| clean[col] = v | ||
| if isinstance(mapping, defaultdict): |
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We could also support defaultdicts directly instead of converting here. but this simplifies adding support for converters to and also we do not have to keep defaultdicts in mind every time we casses the dtypes
mroeschke
reviewed
Feb 22, 2022
mroeschke
reviewed
Feb 22, 2022
Contributor
|
cool can you rebase |
attack68
reviewed
Mar 1, 2022
| dtype["b.1"] = "int64" | ||
| parser = all_parsers | ||
| result = parser.read_csv(StringIO(data), dtype=dtype) | ||
| expected = DataFrame({"a": [1], "b": 2.0, "a.1": [3], "b.2": [4.0], "b.1": [5]}) |
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did you miss the [] on "b", looks different but dont think there is a reason
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Forgot it yes, but does not really make a difference.
Added nevertheless to be more consistent
# Conflicts: # doc/source/whatsnew/v1.5.0.rst
� Conflicts: � doc/source/whatsnew/v1.5.0.rst
Contributor
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this looked fine, can you merge master @phofl |
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|
Done |
mroeschke
approved these changes
Mar 22, 2022
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thanks @phofl very nice as always! |
yehoshuadimarsky
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to yehoshuadimarsky/pandas
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Jul 13, 2022
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doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.