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ENH: Arrow backed string array - implement factorize() method without casting to objects #38007

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Merged
merged 15 commits into from
Mar 2, 2021
Merged

ENH: Arrow backed string array - implement factorize() method without casting to objects #38007

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c53a3c2
moreless copy/paste from fletcher
simonjayhawkins Nov 21, 2020
b7d0ab8
use docstring from base class
simonjayhawkins Nov 22, 2020
154496a
remove redundant type check
simonjayhawkins Nov 22, 2020
c545970
Merge remote-tracking branch 'upstream/master' into factorize
simonjayhawkins Jan 30, 2021
6e3aac8
Merge remote-tracking branch 'upstream/master' into factorize
simonjayhawkins Feb 15, 2021
73c7de9
ignore new mypy error
simonjayhawkins Feb 15, 2021
42ca9c3
update algorithms.Factorize.time_factorize
simonjayhawkins Feb 15, 2021
a251537
test for arrays with 2 chunks
simonjayhawkins Feb 15, 2021
dbc8253
Merge remote-tracking branch 'upstream/master' into factorize
simonjayhawkins Feb 18, 2021
ea59c38
fix failing test_factorize_equivalence
simonjayhawkins Feb 18, 2021
7d98727
fix failing test_factorize_empty
simonjayhawkins Feb 18, 2021
0023f08
address dtype comment
simonjayhawkins Feb 18, 2021
6a28414
move ArrowStringDtype import inside try/except
simonjayhawkins Feb 19, 2021
c4db20d
Merge remote-tracking branch 'upstream/master' into factorize
simonjayhawkins Feb 19, 2021
88ab4f4
Merge remote-tracking branch 'upstream/master' into factorize
simonjayhawkins Mar 2, 2021
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Merge remote-tracking branch 'upstream/master' into factorize
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@simonjayhawkins
simonjayhawkins committed Jan 30, 2021
commit c5459709acc7b4aa004930abc0e0b5f1afdc0da5
3 changes: 2 additions & 1 deletion pandas/core/arrays/string_arrow.py
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@@ -1,11 +1,12 @@
from __future__ import annotations

from distutils.version import LooseVersion
from typing import TYPE_CHECKING, Any, Sequence, Tuple, Type, Union
from typing import TYPE_CHECKING, Any, Optional, Sequence, Tuple, Type, Union

import numpy as np

from pandas._libs import lib, missing as libmissing
from pandas._typing import Dtype, NpDtype
from pandas.util._decorators import doc
from pandas.util._validators import validate_fillna_kwargs

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