8000 BUG: Categorical data fails to load from hdf when all columns are NaN by ssche · Pull Request #18652 · pandas-dev/pandas · GitHub
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BUG: Categorical data fails to load from hdf when all columns are NaN #18652

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Merged
merged 13 commits into from
Dec 10, 2017
Merged

BUG: Categorical data fails to load from hdf when all columns are NaN #18652

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3f07908
Fixed #18413, but test case not passing
ssche Dec 5, 2017
7a4f93a
Fixed test case (#18413)
ssche Dec 6, 2017
8540a4a
Removed trailing whitespace
ssche Dec 6, 2017
928c258
Removed unnecessary dataframe copy
ssche Dec 6, 2017
b3766f7
Update whatsnew section
ssche Dec 6, 2017
52dc141
Moved whatsnew entry to 0.21.1
ssche Dec 6, 2017
ea89a7c
Merge branch 'master' into gh18413
ssche Dec 6, 2017
551f0a2
Merge branch 'master' into gh18413
ssche Dec 6, 2017
e6aad40
Addressed requested changes
ssche Dec 8, 2017
7cf7336
Merge branch 'master' into gh18413
ssche Dec 10, 2017
a69ea02
Merge branch 'master' into gh18413
ssche Dec 10, 2017
538e7fe
Merge branch 'master' into PR_TOOL_MERGE_PR_18652
jreback Dec 10, 2017
b2ac7c4
lint fixes
jreback Dec 10, 2017
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Removed trailing whitespace
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@ssche
ssche committed Dec 6, 2017
commit 8540a4afd71edaf5a3ff1bf7653037d6a60c8c12
2 changes: 1 addition & 1 deletion pandas/io/pytables.py
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Expand Up @@ -2147,7 +2147,7 @@ def convert(self, values, nan_rep, encoding):
mask = isna(categories)
if mask.any():
categories = categories[~mask]
codes[codes != -1] -= mask.astype(int).cumsum().values
codes[codes != -1] -= mask.astype(int).cumsum().values

self.data = Categorical.from_codes(codes,
categories=categories,
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