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remove several unnecessary definitions in generic.pyi #1128

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Merged
merged 2 commits into from
Feb 20, 2025
Merged

remove several unnecessary definitions in generic.pyi #1128

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1f74ba7
remove several unnecessary definitions in generic.pyi
MarcoGorelli Feb 20, 2025
e25b4a7
Merge branch 'main' into remove-unnecessary-generic-definitions
MarcoGorelli Feb 20, 2025
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165 changes: 0 additions & 165 deletions pandas-stubs/core/generic.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -29,16 +29,13 @@ from typing_extensions import (
from pandas._libs.lib import NoDefault
from pandas._typing import (
S1,
ArrayLike,
Axis,
AxisIndex,
CompressionOptions,
CSVQuoting,
DtypeArg,
DtypeBackend,
FilePath,
FileWriteMode,
FillnaOptions,
Frequency,
HashableT1,
HashableT2,
Expand All @@ -47,8 +44,6 @@ from pandas._typing import (
IndexLabel,
Level,
P,
ReplaceMethod,
SortKind,
StorageOptions,
T,
TimedeltaConvertibleTypes,
Expand Down Expand Up @@ -80,13 +75,9 @@ class NDFrame(indexing.IndexingMixin):
@property
def shape(self) -> tuple[int, ...]: ...
@property
def axes(self) -> list[Index]: ...
@property
def ndim(self) -> int: ...
@property
def size(self) -> int: ...
def droplevel(self, level: Level, axis: AxisIndex = ...) -> Self: ...
def squeeze(self, axis=...): ...
def equals(self, other: Series[S1]) -> _bool: ...
def __neg__(self) -> Self: ...
def __pos__(self) -> Self: ...
Expand All @@ -95,8 +86,6 @@ class NDFrame(indexing.IndexingMixin):
def bool(self) -> _bool: ...
def __abs__(self) -> Self: ...
def __round__(self, decimals: int = ...) -> Self: ...
def keys(self): ...
def __len__(self) -> int: ...
def __contains__(self, key) -> _bool: ...
@property
def empty(self) -> _bool: ...
Expand Down Expand Up @@ -292,7 +281,6 @@ class NDFrame(indexing.IndexingMixin):
errors: _str = ...,
storage_options: StorageOptions = ...,
) -> _str: ...
def take(self, indices, axis=..., **kwargs) -> Self: ...
def __delitem__(self, idx: Hashable) -> None: ...
@overload
def drop(
Expand Down Expand Up @@ -366,43 +354,6 @@ class NDFrame(indexing.IndexingMixin):
inplace: Literal[False] = ...,
errors: IgnoreRaise = ...,
) -> Self: ...
def add_prefix(self, prefix: _str) -> Self: ...
def add_suffix(self, suffix: _str) -> Self: ...
@overload
def sort_index(
self,
*,
axis: Axis = ...,
level=...,
ascending: _bool = ...,
inplace: Literal[True],
kind: SortKind = ...,
na_position: Literal["first", "last"] = ...,
sort_remaining: _bool = ...,
ignore_index: _bool = ...,
) -> None: ...
@overload
def sort_index(
self,
*,
axis: Axis = ...,
level=...,
ascending: _bool = ...,
inplace: Literal[False] = ...,
kind: SortKind = ...,
na_position: Literal["first", "last"] = ...,
sort_remaining: _bool = ...,
ignore_index: _bool = ...,
) -> Self: ...
def filter(
self,
items=...,
like: _str | None = ...,
regex: _str | None = ...,
axis=...,
) -> Self: ...
def head(self, n: int = ...) -> Self: ...
def tail(self, n: int = ...) -> Self: ...
@overload
def pipe(
self,
Expand All @@ -419,14 +370,8 @@ class NDFrame(indexing.IndexingMixin):
) -> T: ...
def __finalize__(self, other, method=..., **kwargs) -> Self: ...
def __setattr__(self, name: _str, value) -> None: ...
@property
def values(self) -> ArrayLike: ...
@property
def dtypes(self): ...
def copy(self, deep: _bool = ...) -> Self: ...
def __copy__(self, deep: _bool = ...) -> Self: ...
def __deepcopy__(self, memo=...) -> Self: ...
def infer_objects(self) -> Self: ...
def convert_dtypes(
self,
infer_objects: _bool = ...,
Expand All @@ -436,56 +381,6 @@ class NDFrame(indexing.IndexingMixin):
convert_floating: _bool = ...,
dtype_backend: DtypeBackend = ...,
) -> Self: ...
@overload
def replace(
self,
to_replace=...,
value=...,
*,
inplace: Literal[True],
limit=...,
regex: _bool = ...,
method: ReplaceMethod = ...,
) -> None: ...
@overload
def replace(
self,
to_replace=...,
value=...,
*,
inplace: Literal[False] = ...,
limit=...,
regex: _bool = ...,
method: ReplaceMethod = ...,
) -> NDFrame: ...
def asof(self, where, subset=...): ...
def isna(self) -> NDFrame: ...
def isnull(self) -> NDFrame: ...
def notna(self) -> NDFrame: ...
def notnull(self) -> NDFrame: ...
@overload
def clip(
self, lower=..., upper=..., *, axis=..., inplace: Literal[True], **kwargs
) -> None: ...
@overload
def clip(
self, lower=..., upper=..., *, axis=..., inplace: Literal[False] = ..., **kwargs
) -> Self: ...
def asfreq(
self,
freq,
method: FillnaOptions | None = ...,
how: Literal["start", "end"] | None = ...,
normalize: _bool = ...,
fill_value=...,
) -> Self: ...
def at_time(self, time, asof: _bool = ..., axis=...) -> Self: ...
def between_time(
self,
start_time,
end_time,
axis=...,
) -> Self: ...
@final
def resample(
self,
Expand All @@ -501,63 +396,3 @@ class NDFrame(indexing.IndexingMixin):
offset: TimedeltaConvertibleTypes | None = ...,
group_keys: _bool = ...,
) -> DatetimeIndexResampler[Self]: ...
def first(self, offset) -> Self: ...
def last(self, offset) -> Self: ...
def rank(
self,
axis=...,
method: Literal["average", "min", "max", "first", "dense"] = ...,
numeric_only: _bool = ...,
na_option: Literal["keep", "top", "bottom"] = ...,
ascending: _bool = ...,
pct: _bool = ...,
) -> NDFrame: ...
@overload
def where(
self,
cond,
other=...,
*,
inplace: Literal[True],
axis=...,
level=...,
) -> None: ...
@overload
def where(
self,
cond,
other=...,
*,
inplace: Literal[False] = ...,
axis=...,
level=...,
) -> Self: ...
@overload
def mask(
self,
cond,
other=...,
*,
inplace: Literal[True],
axis=...,
level=...,
) -> None: ...
@overload
def mask(
self,
cond,
other=...,
*,
inplace: Literal[False] = ...,
axis=...,
level=...,
) -> Self: ...
def shift(self, periods=..., freq=..., axis=..., fill_value=...) -> Self: ...
def truncate(self, before=..., after=..., axis=..., copy: _bool = ...) -> Self: ...
def abs(self) -> Self: ...
def describe(self, percentiles=..., include=..., exclude=...) -> NDFrame: ...
def pct_change(
self, periods=..., fill_method=..., limit=..., freq=..., **kwargs
) -> Self: ...
def first_valid_index(self): ...
def last_valid_index(self): ...