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Title:
BUG: assignment with enlargement gives object dtype with ExtensionArrays · Issue #32346 · pandas-dev/pandas
Description:
From #32271, when setting with enlargment, the dtype gets converted into object dtype (while for normal integer or boolean dtype this is not the case): In [10]: s = pd.Series([1, 2, 3], dtype="Int64") In [11]: s[3] = 4 In [12]: s Out[12]...
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int, dtype, bug, object, issue, kasim, float, tests, added, phofl, sign, assignment, jorisvandenbossche, indexing, uint, pandas, code, projects, extensionarrays, dtypes, milestone, indexes, commented, navigation, open, pull, requests, actions, security, enlargement, pdseries, dtypeint, extensionarray, extending, custom, arrays, related, seriesframes, good, unit, needed, prevent, regressions, removed, contributor, assigned, result, resultdtype, inconsistent, exist,
Topics {✒️}
personal information bug comment metadata assignees tests unit test jorisvandenbossche added inconsistent dtype conversions projects milestone type projects indexing related general issue prevent regressions github bug inconsistent conversion milestone relationships normal integer previous_dtype = result float64 uint32 float64 string original array result array behavior deliberate expansion type int64 int16 int64 int8 int64 uint64 int64 uint16 int64 uint8 int64 float64 object float32 custom dtypes series/frames result = series boolean dtype removed issue object dtype object float16 dtype=dtype assignment int32 tests extensionarrays indexing int64 object dtypes code int32 series dtype dtype=
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context:https://schema.org
headline:BUG: assignment with enlargement gives object dtype with ExtensionArrays
articleBody:From https://github.com/pandas-dev/pandas/issues/32271, when setting with enlargment, the dtype gets converted into object dtype (while for normal integer or boolean dtype this is not the case):
```
In [10]: s = pd.Series([1, 2, 3], dtype="Int64")
In [11]: s[3] = 4
In [12]: s
Out[12]:
0 1
1 2
2 3
3 4
dtype: object
In [13]: s = pd.Series([1, 2, 3], dtype="int64")
In [14]: s[3] = 4
In [15]: s
Out[15]:
0 1
1 2
2 3
3 4
dtype: int64
```
It also happens with eg DecimalArray from our tests, so suppose it is a general issue with ExtensionArrays.
author:
url:https://github.com/jorisvandenbossche
type:Person
name:jorisvandenbossche
datePublished:2020-02-29T02:55:01.000Z
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interactionType:https://schema.org/CommentAction
userInteractionCount:14
url:https://github.com/32346/pandas/issues/32346
context:https://schema.org
headline:BUG: assignment with enlargement gives object dtype with ExtensionArrays
articleBody:From https://github.com/pandas-dev/pandas/issues/32271, when setting with enlargment, the dtype gets converted into object dtype (while for normal integer or boolean dtype this is not the case):
```
In [10]: s = pd.Series([1, 2, 3], dtype="Int64")
In [11]: s[3] = 4
In [12]: s
Out[12]:
0 1
1 2
2 3
3 4
dtype: object
In [13]: s = pd.Series([1, 2, 3], dtype="int64")
In [14]: s[3] = 4
In [15]: s
Out[15]:
0 1
1 2
2 3
3 4
dtype: int64
```
It also happens with eg DecimalArray from our tests, so suppose it is a general issue with ExtensionArrays.
author:
url:https://github.com/jorisvandenbossche
type:Person
name:jorisvandenbossche
datePublished:2020-02-29T02:55:01.000Z
interactionStatistic:
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interactionType:https://schema.org/CommentAction
userInteractionCount:14
url:https://github.com/32346/pandas/issues/32346
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url:https://github.com/jorisvandenbossche
name:jorisvandenbossche
url:https://github.com/jorisvandenbossche
name:jorisvandenbossche
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