10000 Implement Arrow String Array that is compatible with NumPy semantics by phofl · Pull Request #54533 · pandas-dev/pandas · GitHub
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Implement Arrow String Array that is compatible with NumPy semantics #54533

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Merged
merged 24 commits into from
Aug 23, 2023
Merged

Implement Arrow String Array that is compatible with NumPy semantics #54533

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b24afc9
Start new string array
phofl Aug 13, 2023
b306c6f
Add missing methods
phofl Aug 13, 2023
2dbcfb0
Implement Arrow String Array that is compatible with NumPy semantics
phofl Aug 13, 2023
d9e61e5
Move methods
phofl Aug 13, 2023
3188c25
Refactor
phofl Aug 13, 2023
df231f0
Merge remote-tracking branch 'upstream/main' into string_array_numpy_…
phofl Aug 14, 2023
cd19bfb
Refactor
phofl Aug 14, 2023
c73c6b0
Remove
phofl Aug 14, 2023
6b26309
Fix
phofl Aug 14, 2023
da6d67c
Update
phofl Aug 14, 2023
4be0ee8
Merge remote-tracking branch 'upstream/main' into string_array_numpy_…
phofl Aug 16, 2023
6cf2639
Fix
phofl Aug 16, 2023
0c260fb
Update pandas/core/arrays/string_arrow.py
phofl Aug 21, 2023
8df070a
Add comment
phofl Aug 21, 2023
1e732c9
Use bool instead of object
phofl Aug 21, 2023
5b0d24c
Merge remote-tracking branch 'upstream/main' into string_array_numpy_…
phofl Aug 21, 2023
3a913e1
Update docstring
phofl Aug 21, 2023
a95d2ee
Merge remote-tracking branch 'upstream/main' into string_array_numpy_…
phofl Aug 21, 2023
ec56cef
Fix
phofl Aug 21, 2023
31a59c4
Fix typing
phofl Aug 21, 2023
ed77967
Update pandas/core/arrays/string_arrow.py
phofl Aug 21, 2023
d05c51d
Update test_case_justify.py
phofl Aug 22, 2023
aad3d2e
Update
phofl Aug 22, 2023
5383eeb
Update pandas/tests/strings/test_case_justify.py
phofl Aug 22, 2023
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@phofl
phofl committed Aug 14, 2023
commit cd19bfb43d077e379b12b80d0c30e51724b6f5ec
1 change: 0 additions & 1 deletion pandas/tests/strings/test_strings.py
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Expand Up @@ -310,7 +310,6 @@ def test_index(method, sub, start, end, index_or_series, any_string_dtype, expec
obj = index_or_series(
["ABCDEFG", "BCDEFEF", "DEFGHIJEF", "EFGHEF"], dtype=any_string_dtype
)

expected_dtype = np.int64 if any_string_dtype in object_pyarrow_numpy else "Int64"
expected = index_or_series(expected, dtype=expected_dtype)

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