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tocsv_interval _categories #46562

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@Kyrpel
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@Kyrpel Kyrpel commented Mar 29, 2022 •
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@rhshadrach rhshadrach added IO CSV read_csv, to_csv Bug Categorical Categorical Data Type labels Apr 22, 2022
rhshadrach
rhshadrach reviewed Apr 22, 2022
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Thanks for the PR!

pandas/core/internals/blocks.py
Comment on lines +2284 to +2289
elif isinstance(values, (PeriodArray, IntervalArray)):
# GH46297
values = np.array(values, dtype="object")
mask = isna(values)
values[mask] = na_rep
return values
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This is very similar to the EA block below (L2321); can they be combined?

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@jreback jreback May 16, 2022

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@Kyrpel can you do this one

pandas/core/array_algos/take.py
)
if arr.dtype.kind in "O" and is_interval_dtype(arr):
# # GH46297 Interval
return arr.take(indexer, allow_fill=allow_fill)
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fill_value here comes from the na_rep argument of to_csv; is ignoring it the right behavior? Does that mean whatever the user specifies will be ignored?

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yah, this seems like a weird place to special-case

@simonjayhawkins simonjayhawkins added the Regression Functionality that used to work in a prior pandas version label May 16, 2022
@simonjayhawkins simonjayhawkins added this to the 1.4.3 milestone May 16, 2022
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simonjayhawkins commented May 16, 2022

Thanks @Kyrpel for the PR. does this also fix the related issue #46812?

can you add a release note doc/source/whatsnew/v1.4.3.rst

jreback
jreback requested changes May 16, 2022
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pandas/core/internals/blocks.py
Comment on lines +2284 to +2289
elif isinstance(values, (PeriodArray, IntervalArray)):
# GH46297
values = np.array(values, dtype="object")
mask = isna(values)
values[mask] = na_rep
return values
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@jreback jreback May 16, 2022

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@Kyrpel can you do this one

pandas/core/array_algos/take.py
return arr.take(
indexer, fill_value=fill_value, allow_fill=allow_fill, axis=axis
)
if arr.dtype.kind in "O" and is_interval_dtype(arr):
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elif

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simonjayhawkins commented May 17, 2022

Thanks @Kyrpel for the PR.

This fix is currently adding some more code where the regression was caused by a code addition in #44930.

pandas/pandas/core/internals/blocks.py

Lines 2265 to 2271 in 009c4c6

if isinstance(values, Categorical):
# GH#40754 Convert categorical datetimes to datetime array
values = algos.take_nd(
values.categories._values,
ensure_platform_int(values._codes),
fill_value=na_rep,
)

whereas before #44930 the conversion was done in ...

pandas/pandas/core/internals/blocks.py

Lines 2318 to 2323 in 009c4c6

elif isinstance(values, ExtensionArray):
mask = isna(values)
new_values = np.asarray(values.astype(object))
new_values[mask] = na_rep
return new_values

Now removing the code addition in #44930 also fixes this issue.

Now since the astype(object) for categorical containing Timestamps was also fixed in #18024, i'm not sure why the special casing for Categorical was added to to_native_types.

Going back to this issue. repr already still works and according to some code comments, to_csv/repr are supposed to be sharing the same to_native_types code.

we also have the related issue #46812, and I may need to update this observation once I have looked at that one. I suspect that both issues should probably be fixed togther.

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simonjayhawkins commented May 17, 2022

Now since the astype(object) for categorical containing Timestamps was also fixed in #18024, i'm not sure why the special casing for Categorical was added to to_native_types.

should have been containing Timestamps was also fixed in #18024 -> containing Timestamps #18024 was also fixed in #44930

cc @jbrockmendel @phofl (participants in #44930)

@simonjayhawkins simonjayhawkins mentioned this pull request Jun 8, 2022
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simonjayhawkins commented Jun 15, 2022

Thanks @Kyrpel for the PR. closing as superseded by #47347.

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Bug Categorical Categorical Data Type IO CSV read_csv, to_csv Regression Functionality that used to work in a prior pandas version

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BUG: Error writing DataFrame with categorical type column and interval data to a CSV file

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@Kyrpel @simonjayhawkins @jreback @jbrockmendel @rhshadrach