Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly
Sign up
Appearance settings

Commit adec21f

Browse files
TYP: Add ignores for numpy 2.2 updates (#61265)
* TYP: Add ignores for numpy 2.2 updates * fix tests and plotting * ignore pyright error
1 parent 4b8c472 commit adec21f

File tree

28 files changed

+43
-63
lines changed

28 files changed

+43
-63
lines changed

‎pandas/core/algorithms.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -215,7 +215,7 @@ def _reconstruct_data(
215215
values = cls._from_sequence(values, dtype=dtype) # type: ignore[assignment]
216216

217217
else:
218-
values = values.astype(dtype, copy=False)
218+
values = values.astype(dtype, copy=False)# type: ignore[assignment]
219219

220220
return values
221221

‎pandas/core/array_algos/quantile.py‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -102,7 +102,7 @@ def quantile_with_mask(
102102
interpolation=interpolation,
103103
)
104104

105-
result = np.asarray(result)
105+
result = np.asarray(result)# type: ignore[assignment]
106106
result = result.T
107107

108108
return result
@@ -196,7 +196,7 @@ def _nanquantile(
196196
# Caller is responsible for ensuring mask shape match
197197
assert mask.shape == values.shape
198198
result = [
199-
_nanquantile_1d(val, m, qs, na_value, interpolation=interpolation)
199+
_nanquantile_1d(val, m, qs, na_value, interpolation=interpolation)# type: ignore[arg-type]
200200
for (val, m) in zip(list(values), list(mask))
201201
]
202202
if values.dtype.kind == "f":

‎pandas/core/arrays/_mixins.py‎

Lines changed: 1 addition & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -142,18 +142,12 @@ def view(self, dtype: Dtype | None = None) -> ArrayLike:
142142

143143
dt64_values = arr.view(dtype)
144144
return DatetimeArray._simple_new(dt64_values, dtype=dtype)
145-
146145
elif lib.is_np_dtype(dtype, "m") and is_supported_dtype(dtype):
147146
from pandas.core.arrays import TimedeltaArray
148147

149148
td64_values = arr.view(dtype)
150149
return TimedeltaArray._simple_new(td64_values, dtype=dtype)
151-
152-
# error: Argument "dtype" to "view" of "_ArrayOrScalarCommon" has incompatible
153-
# type "Union[ExtensionDtype, dtype[Any]]"; expected "Union[dtype[Any], None,
154-
# type, _SupportsDType, str, Union[Tuple[Any, int], Tuple[Any, Union[int,
155-
# Sequence[int]]], List[Any], _DTypeDict, Tuple[Any, Any]]]"
156-
return arr.view(dtype=dtype) # type: ignore[arg-type]
150+
return arr.view(dtype=dtype)
157151

158152
def take(
159153
self,

‎pandas/core/arrays/arrow/_arrow_utils.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -44,7 +44,7 @@ def pyarrow_array_to_numpy_and_mask(
4444
mask = pyarrow.BooleanArray.from_buffers(
4545
pyarrow.bool_(), len(arr), [None, bitmask], offset=arr.offset
4646
)
47-
mask = np.asarray(mask)
47+
mask = np.asarray(mask)# type: ignore[assignment]
4848
else:
4949
mask = np.ones(len(arr), dtype=bool)
5050
return data, mask

‎pandas/core/arrays/arrow/array.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -2540,7 +2540,7 @@ def _str_get_dummies(self, sep: str = "|", dtype: NpDtype | None = None):
25402540
dummies_dtype = np.bool_
25412541
dummies = np.zeros(n_rows * n_cols, dtype=dummies_dtype)
25422542
dummies[indices] = True
2543-
dummies = dummies.reshape((n_rows, n_cols))
2543+
dummies = dummies.reshape((n_rows, n_cols))# type: ignore[assignment]
25442544
result = type(self)(pa.array(list(dummies)))
25452545
return result, uniques_sorted.to_pylist()
25462546

‎pandas/core/arrays/base.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -596,7 +596,7 @@ def to_numpy(
596596
if copy or na_value is not lib.no_default:
597597
result = result.copy()
598598
if na_value is not lib.no_default:
599-
result[self.isna()] = na_value
599+
result[self.isna()] = na_value# type: ignore[index]
600600
return result
601601

602602
# ------------------------------------------------------------------------

‎pandas/core/arrays/categorical.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1853,7 +1853,7 @@ def value_counts(self, dropna: bool = True) -> Series:
18531853
count = np.bincount(obs, minlength=ncat or 0)
18541854
else:
18551855
count = np.bincount(np.where(mask, code, ncat))
1856-
ix = np.append(ix, -1)
1856+
ix = np.append(ix, -1)# type: ignore[assignment]
18571857

18581858
ix = coerce_indexer_dtype(ix, self.dtype.categories)
18591859
ix_categorical = self._from_backing_data(ix)

‎pandas/core/arrays/datetimelike.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -2394,7 +2394,7 @@ def take(
23942394
)
23952395

23962396
indices = np.asarray(indices, dtype=np.intp)
2397-
maybe_slice = lib.maybe_indices_to_slice(indices, len(self))
2397+
maybe_slice = lib.maybe_indices_to_slice(indices, len(self))# type: ignore[arg-type]
23982398

23992399
if isinstance(maybe_slice, slice):
24002400
freq = self._get_getitem_freq(maybe_slice)

‎pandas/core/arrays/datetimes.py‎

Lines changed: 3 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -331,7 +331,7 @@ def _simple_new( # type: ignore[override]
331331
else:
332332
# DatetimeTZDtype. If we have e.g. DatetimeTZDtype[us, UTC],
333333
# then values.dtype should be M8[us].
334-
assert dtype._creso == get_unit_from_dtype(values.dtype)
334+
assert dtype._creso == get_unit_from_dtype(values.dtype)# type: ignore[union-attr]
335335

336336
result = super()._simple_new(values, dtype)
337337
result._freq = freq
@@ -542,7 +542,7 @@ def _unbox_scalar(self, value) -> np.datetime64:
542542
raise ValueError("'value' should be a Timestamp.")
543543
self._check_compatible_with(value)
544544
if value is NaT:
545-
return np.datetime64(value._value, self.unit)
545+
return np.datetime64(value._value, self.unit)# type: ignore[call-overload]
546546
else:
547547
return value.as_unit(self.unit, round_ok=False).asm8
548548

@@ -813,10 +813,7 @@ def _add_offset(self, offset: BaseOffset) -> Self:
813813
try:
814814
res_values = offset._apply_array(values._ndarray)
815815
if res_values.dtype.kind == "i":
816-
# error: Argument 1 to "view" of "ndarray" has incompatible type
817-
# "dtype[datetime64] | DatetimeTZDtype"; expected
818-
# "dtype[Any] | type[Any] | _SupportsDType[dtype[Any]]"
819-
res_values = res_values.view(values.dtype) # type: ignore[arg-type]
816+
res_values = res_values.view(values.dtype)
820817
except NotImplementedError:
821818
if get_option("performance_warnings"):
822819
warnings.warn(

‎pandas/core/arrays/masked.py‎

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -515,7 +515,7 @@ def tolist(self) -> list:
515515
if self.ndim > 1:
516516
return [x.tolist() for x in self]
517517
dtype = None if self._hasna else self._data.dtype
518-
return self.to_numpy(dtype=dtype, na_value=libmissing.NA).tolist()
518+
return self.to_numpy(dtype=dtype, na_value=libmissing.NA).tolist()# type: ignore[return-value]
519519

520520
@overload
521521
def astype(self, dtype: npt.DTypeLike, copy: bool = ...) -> np.ndarray: ...
@@ -1497,10 +1497,10 @@ def all(
14971497
result = values.all(axis=axis)
14981498

14991499
if skipna:
1500-
return result
1500+
return result# type: ignore[return-value]
15011501
else:
15021502
if not result or len(self) == 0 or not self._mask.any():
1503-
return result
1503+
return result# type: ignore[return-value]
15041504
else:
15051505
return self.dtype.na_value
15061506

0 commit comments

Comments
(0)

AltStyle によって変換されたページ (->オリジナル) /