8000 DEPR: deprecate default of skipna=False in infer_dtype by h-vetinari · Pull Request #24050 · pandas-dev/pandas · GitHub
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DEPR: deprecate default of skipna=False in infer_dtype #24050

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Merged
merged 19 commits into from
Jan 4, 2019
Merged

DEPR: deprecate default of skipna=False in infer_dtype #24050

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2c9e2ea
DEPR: switch default of skipna-kwarg in infer_dtype to True
h-vetinari Dec 2, 2018
9d2da42
Merge remote-tracking branch 'upstream/master' into infer_skipna
h-vetinari Dec 5, 2018
21f7963
Change default of skipna to None & warn; add whatsnew
h-vetinari Dec 6, 2018
568bfd9
Missed one
h-vetinari Dec 6, 2018
4900f4b
Merge remote-tracking branch 'upstream/master' into infer_skipna
h-vetinari Dec 14, 2018
8c3c5b4
Review (jreback)
h-vetinari Dec 14, 2018
698b0d0
Merge remote-tracking branch 'upstream/master' into infer_skipna
h-vetinari Dec 19, 2018
52616b0
Fix new occurrence of infer_dtype
h-vetinari Dec 19, 2018
d72dbda
Merge remote-tracking branch 'upstream/master' into infer_skipna
h-vetinari Dec 21, 2018
245b7bc
Fix overlooked merge artefact
h-vetinari Dec 21, 2018
4d97ce8
Merge remote-tracking branch 'upstream/master' into infer_skipna
h-vetinari Jan 2, 2019
18e7bc6
Merge remote-tracking branch 'upstream/master' into infer_skipna
h-vetinari Jan 3, 2019
72ba292
Oversight
h-vetinari Jan 3, 2019
ebd1063
Add kwarg to new call-sites 8000
h-vetinari Jan 3, 2019
e287bd8
and another new call-site
h-vetinari Jan 3, 2019
1ea21fe
Try skipna=True for new call-sites
h-vetinari Jan 3, 2019
fd8c010
Revert skipna=True where it was added
h-vetinari Jan 3, 2019
1edd0e9
Review (jreback)
h-vetinari Jan 4, 2019
03c46cd
Merge remote-tracking branch 'upstream/master' into infer_skipna
h-vetinari Jan 4, 2019
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Try skipna=True for new call-sites
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@h-vetinari
h-vetinari committed Jan 3, 2019
commit 1ea21fef39c46ecdc628e1be0a6150f05d1c9693
2 changes: 1 addition & 1 deletion pandas/core/arrays/array_.py
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Expand Up @@ -209,7 +209,7 @@ def array(data, # type: Sequence[object]
return cls._from_sequence(data, dtype=dtype, copy=copy)

if dtype is None:
inferred_dtype = lib.infer_dtype(data, skipna=False)
inferred_dtype = lib.infer_dtype(data, skipna=True)
if inferred_dtype == 'period':
try:
return period_array(data, copy=copy)
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4 changes: 2 additions & 2 deletions pandas/core/reshape/merge.py
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Expand Up @@ -962,8 +962,8 @@ def _maybe_coerce_merge_keys(self):
# object values are allowed to be merged
elif ((lk_is_object and is_numeric_dtype(rk)) or
(is_numeric_dtype(lk) and rk_is_object)):
inferred_left = lib.infer_dtype(lk, skipna=False)
inferred_right = lib.infer_dtype(rk, skipna=False)
inferred_left = lib.infer_dtype(lk, skipna=True)
inferred_right = lib.infer_dtype(rk, skipna=True)
bool_types = ['integer', 'mixed-integer', 'boolean', 'empty']
string_types = ['string', 'unicode', 'mixed', 'bytes', 'empty']

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0