8000 PERF: StringArray construction by topper-123 · Pull Request #36325 · pandas-dev/pandas · GitHub
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PERF: StringArray construction #36325

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Merged
merged 4 commits into from
Sep 17, 2020
Merged

PERF: StringArray construction #36325

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7abf9ff
PERF: StringArray construction
topper-123 Sep 12, 2020
f1721ac
add issue number
topper-123 Sep 13, 2020
ee01e02
clean doc string
topper-123 Sep 13, 2020
39ea860
Refactor to avoid call to StringArray__init__ & validation
topper-123 Sep 16, 2020
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add issue number
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@topper-123
topper-123 committed Sep 16, 2020
commit f1721ac58773e94d754ffda045102edb9713c92a
2 changes: 1 addition & 1 deletion doc/source/whatsnew/v1.2.0.rst
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Expand Up @@ -219,7 +219,7 @@ Deprecations
Performance improvements
~~~~~~~~~~~~~~~~~~~~~~~~

- Performance improvements when creating Series with dtype `str` or :class:`StringDtype` from array with many string elements (:issue:`36304`, :issue:`36317`)
- Performance improvements when creating Series with dtype `str` or :class:`StringDtype` from array with many string elements (:issue:`36304`, :issue:`36317`, :issue:`36325`)
- Performance improvement in :meth:`GroupBy.agg` with the ``numba`` engine (:issue:`35759`)
- Performance improvements when creating :meth:`pd.Series.map` from a huge dictionary (:issue:`34717`)
- Performance improvement in :meth:`GroupBy.transform` with the ``numba`` engine (:issue:`36240`)
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8 changes: 4 additions & 4 deletions pandas/core/arrays/string_.py
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Expand Up @@ -165,11 +165,11 @@ class StringArray(PandasArray):
['1', '1']
Length: 2, dtype: string

Instantiating StringArrays directly with non-strings will raise an error unless
``convert=True``.
Instantiating StringArrays directly with non-strings arrays will raise an error
unless ``convert=True``.

>>> pd.arrays.StringArray(['1', 1])
TypeError: Argument 'values' has incorrect type (expected numpy.ndarray, got list)
>>> pd.arrays.StringArray(np.array(['1', 1], dtype=object))
ValueError: StringArray requires a sequence of strings or pandas.NA
>>> pd.arrays.StringArray(['1', 1], convert=True)
<StringArray>
['1', '1']
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