diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 09912bfb6c34945f2b2bed54f2af4c7e93e3e96c..b7b9b1818c122ceb6e8420c674bd9fc6586e3b7d 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -19,7 +19,7 @@ ci:
skip: [pyright, mypy]
repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
- rev: v0.7.2
+ rev: v0.8.1
hooks:
- id: ruff
args: [--exit-non-zero-on-fix]
@@ -47,7 +47,7 @@ repos:
types_or: [python, rst, markdown, cython, c]
additional_dependencies: [tomli]
- repo: https://github.com/MarcoGorelli/cython-lint
- rev: v0.16.2
+ rev: v0.16.6
hooks:
- id: cython-lint
- id: double-quote-cython-strings
@@ -95,7 +95,7 @@ repos:
- id: sphinx-lint
args: ["--enable", "all", "--disable", "line-too-long"]
- repo: https://github.com/pre-commit/mirrors-clang-format
- rev: v19.1.3
+ rev: v19.1.4
hooks:
- id: clang-format
files: ^pandas/_libs/src|^pandas/_libs/include
diff --git a/asv_bench/benchmarks/groupby.py b/asv_bench/benchmarks/groupby.py
index abffa1f702b9c76e53d7ce93946ec8da859f29ed..19c556dfe9d1f6df1ff13ecb1d111a01f13412cb 100644
--- a/asv_bench/benchmarks/groupby.py
+++ b/asv_bench/benchmarks/groupby.py
@@ -511,8 +511,7 @@ class GroupByMethods:
# grouping on multiple columns
# and we lack kernels for a bunch of methods
if (
- engine == "numba"
- and method in _numba_unsupported_methods
+ (engine == "numba" and method in _numba_unsupported_methods)
or ncols > 1
or application == "transformation"
or dtype == "datetime"
diff --git a/pandas/__init__.py b/pandas/__init__.py
index 6c97baa89077733af212528cbbb177bde0e69d6e..c570fb8d7020401dc5f71eda9e474bb4c5bd89ec 100644
--- a/pandas/__init__.py
+++ b/pandas/__init__.py
@@ -235,6 +235,7 @@ Here are just a few of the things that pandas does well:
# Pandas is not (yet) a py.typed library: the public API is determined
# based on the documentation.
__all__ = [
+ "NA",
"ArrowDtype",
"BooleanDtype",
"Categorical",
@@ -253,15 +254,14 @@ __all__ = [
"HDFStore",
"Index",
"IndexSlice",
+ "Int8Dtype",
"Int16Dtype",
"Int32Dtype",
"Int64Dtype",
- "Int8Dtype",
"Interval",
"IntervalDtype",
"IntervalIndex",
"MultiIndex",
- "NA",
"NaT",
"NamedAgg",
"Period",
@@ -274,10 +274,10 @@ __all__ = [
"Timedelta",
"TimedeltaIndex",
"Timestamp",
+ "UInt8Dtype",
"UInt16Dtype",
"UInt32Dtype",
"UInt64Dtype",
- "UInt8Dtype",
"api",
"array",
"arrays",
@@ -290,8 +290,8 @@ __all__ = [
"errors",
"eval",
"factorize",
- "get_dummies",
"from_dummies",
+ "get_dummies",
"get_option",
"infer_freq",
"interval_range",
diff --git a/pandas/_config/__init__.py b/pandas/_config/__init__.py
index 80d9ea1b364f36deb2584666a71eb82dd0333705..463e8af7cc56103fa48f5a1842225444deaf5fc5 100644
--- a/pandas/_config/__init__.py
+++ b/pandas/_config/__init__.py
@@ -8,13 +8,13 @@ are initialized.
__all__ = [
"config",
+ "describe_option",
"detect_console_encoding",
"get_option",
- "set_option",
- "reset_option",
- "describe_option",
"option_context",
"options",
+ "reset_option",
+ "set_option",
]
from pandas._config import config
from pandas._config import dates # pyright: ignore[reportUnusedImport] # noqa: F401
diff --git a/pandas/_libs/__init__.py b/pandas/_libs/__init__.py
index 26a872a90e4934c929d168228125f2e43936c774..d499f9a6cd75e53dc63a4a83c073449025caac94 100644
--- a/pandas/_libs/__init__.py
+++ b/pandas/_libs/__init__.py
@@ -1,4 +1,5 @@
__all__ = [
+ "Interval",
"NaT",
"NaTType",
"OutOfBoundsDatetime",
@@ -6,7 +7,6 @@ __all__ = [
"Timedelta",
"Timestamp",
"iNaT",
- "Interval",
]
diff --git a/pandas/_libs/tslibs/__init__.py b/pandas/_libs/tslibs/__init__.py
index 31979b293a940a852244b4c861184a13b33d3f5e..f433a3acf356f0a509006c3784296ae6235a77a0 100644
--- a/pandas/_libs/tslibs/__init__.py
+++ b/pandas/_libs/tslibs/__init__.py
@@ -1,39 +1,39 @@
__all__ = [
- "dtypes",
- "localize_pydatetime",
+ "BaseOffset",
+ "IncompatibleFrequency",
"NaT",
"NaTType",
- "iNaT",
- "nat_strings",
"OutOfBoundsDatetime",
"OutOfBoundsTimedelta",
- "IncompatibleFrequency",
"Period",
"Resolution",
+ "Tick",
"Timedelta",
- "normalize_i8_timestamps",
- "is_date_array_normalized",
- "dt64arr_to_periodarr",
+ "Timestamp",
+ "add_overflowsafe",
+ "astype_overflowsafe",
"delta_to_nanoseconds",
+ "dt64arr_to_periodarr",
+ "dtypes",
+ "get_resolution",
+ "get_supported_dtype",
+ "get_unit_from_dtype",
+ "guess_datetime_format",
+ "iNaT",
"ints_to_pydatetime",
"ints_to_pytimedelta",
- "get_resolution",
- "Timestamp",
- "tz_convert_from_utc_single",
- "tz_convert_from_utc",
- "to_offset",
- "Tick",
- "BaseOffset",
- "tz_compare",
+ "is_date_array_normalized",
+ "is_supported_dtype",
"is_unitless",
- "astype_overflowsafe",
- "get_unit_from_dtype",
+ "localize_pydatetime",
+ "nat_strings",
+ "normalize_i8_timestamps",
"periods_per_day",
"periods_per_second",
- "guess_datetime_format",
- "add_overflowsafe",
- "get_supported_dtype",
- "is_supported_dtype",
+ "to_offset",
+ "tz_compare",
+ "tz_convert_from_utc",
+ "tz_convert_from_utc_single",
]
from pandas._libs.tslibs import dtypes
diff --git a/pandas/_testing/__init__.py b/pandas/_testing/__init__.py
index e092d65f08dd468e0e01bd50ea37cafc078d40b3..ec9b5098c97c9e80e13e7ee2487bc283105c457f 100644
--- a/pandas/_testing/__init__.py
+++ b/pandas/_testing/__init__.py
@@ -540,6 +540,25 @@ __all__ = [
"ALL_INT_NUMPY_DTYPES",
"ALL_NUMPY_DTYPES",
"ALL_REAL_NUMPY_DTYPES",
+ "BOOL_DTYPES",
+ "BYTES_DTYPES",
+ "COMPLEX_DTYPES",
+ "DATETIME64_DTYPES",
+ "ENDIAN",
+ "FLOAT_EA_DTYPES",
+ "FLOAT_NUMPY_DTYPES",
+ "NARROW_NP_DTYPES",
+ "NP_NAT_OBJECTS",
+ "NULL_OBJECTS",
+ "OBJECT_DTYPES",
+ "SIGNED_INT_EA_DTYPES",
+ "SIGNED_INT_NUMPY_DTYPES",
+ "STRING_DTYPES",
+ "TIMEDELTA64_DTYPES",
+ "UNSIGNED_INT_EA_DTYPES",
+ "UNSIGNED_INT_NUMPY_DTYPES",
+ "SubclassedDataFrame",
+ "SubclassedSeries",
"assert_almost_equal",
"assert_attr_equal",
"assert_categorical_equal",
@@ -563,51 +582,32 @@ __all__ = [
"assert_sp_array_equal",
"assert_timedelta_array_equal",
"at",
- "BOOL_DTYPES",
"box_expected",
- "BYTES_DTYPES",
"can_set_locale",
- "COMPLEX_DTYPES",
"convert_rows_list_to_csv_str",
- "DATETIME64_DTYPES",
"decompress_file",
- "ENDIAN",
"ensure_clean",
"external_error_raised",
- "FLOAT_EA_DTYPES",
- "FLOAT_NUMPY_DTYPES",
"get_cython_table_params",
"get_dtype",
- "getitem",
- "get_locales",
"get_finest_unit",
+ "get_locales",
"get_obj",
"get_op_from_name",
+ "getitem",
"iat",
"iloc",
"loc",
"maybe_produces_warning",
- "NARROW_NP_DTYPES",
- "NP_NAT_OBJECTS",
- "NULL_OBJECTS",
- "OBJECT_DTYPES",
"raise_assert_detail",
"raises_chained_assignment_error",
"round_trip_pathlib",
"round_trip_pickle",
- "setitem",
"set_locale",
"set_timezone",
+ "setitem",
"shares_memory",
- "SIGNED_INT_EA_DTYPES",
- "SIGNED_INT_NUMPY_DTYPES",
- "STRING_DTYPES",
- "SubclassedDataFrame",
- "SubclassedSeries",
- "TIMEDELTA64_DTYPES",
"to_array",
- "UNSIGNED_INT_EA_DTYPES",
- "UNSIGNED_INT_NUMPY_DTYPES",
"with_csv_dialect",
"write_to_compressed",
]
diff --git a/pandas/_testing/asserters.py b/pandas/_testing/asserters.py
index 01c4dcd92ee40143d6a8e708176fd9f5126896bc..daa5187cdb636f7ea9da9ccf207cfa6b986484b4 100644
--- a/pandas/_testing/asserters.py
+++ b/pandas/_testing/asserters.py
@@ -755,11 +755,8 @@ def assert_extension_array_equal(
and atol is lib.no_default
):
check_exact = (
- is_numeric_dtype(left.dtype)
- and not is_float_dtype(left.dtype)
- or is_numeric_dtype(right.dtype)
- and not is_float_dtype(right.dtype)
- )
+ is_numeric_dtype(left.dtype) and not is_float_dtype(left.dtype)
+ ) or (is_numeric_dtype(right.dtype) and not is_float_dtype(right.dtype))
elif check_exact is lib.no_default:
check_exact = False
@@ -944,11 +941,8 @@ def assert_series_equal(
and atol is lib.no_default
):
check_exact = (
- is_numeric_dtype(left.dtype)
- and not is_float_dtype(left.dtype)
- or is_numeric_dtype(right.dtype)
- and not is_float_dtype(right.dtype)
- )
+ is_numeric_dtype(left.dtype) and not is_float_dtype(left.dtype)
+ ) or (is_numeric_dtype(right.dtype) and not is_float_dtype(right.dtype))
left_index_dtypes = (
[left.index.dtype] if left.index.nlevels == 1 else left.index.dtypes
)
diff --git a/pandas/_typing.py b/pandas/_typing.py
index c1769126a5776984b24d2eae629e4fcd22bd260b..b515305fb6903d7cc4fb8891f402475f7b2f9b05 100644
--- a/pandas/_typing.py
+++ b/pandas/_typing.py
@@ -273,7 +273,7 @@ class BaseBuffer(Protocol):
# for _get_filepath_or_buffer
...
- def seek(self, __offset: int, __whence: int = ...) -> int:
+ def seek(self, offset: int, whence: int = ..., /) -> int:
# with one argument: gzip.GzipFile, bz2.BZ2File
# with two arguments: zip.ZipFile, read_sas
...
@@ -288,13 +288,13 @@ class BaseBuffer(Protocol):
class ReadBuffer(BaseBuffer, Protocol[AnyStr_co]):
- def read(self, __n: int = ...) -> AnyStr_co:
+ def read(self, n: int = ..., /) -> AnyStr_co:
# for BytesIOWrapper, gzip.GzipFile, bz2.BZ2File
...
class WriteBuffer(BaseBuffer, Protocol[AnyStr_contra]):
- def write(self, __b: AnyStr_contra) -> Any:
+ def write(self, b: AnyStr_contra, /) -> Any:
# for gzip.GzipFile, bz2.BZ2File
...
diff --git a/pandas/api/__init__.py b/pandas/api/__init__.py
index 9b007e8fe8da4ad0157a7d3c98b8836310909445..8f659e3cd14c861fcd5362b873eb5c27f58114bf 100644
--- a/pandas/api/__init__.py
+++ b/pandas/api/__init__.py
@@ -9,9 +9,9 @@ from pandas.api import (
)
__all__ = [
- "interchange",
"extensions",
"indexers",
+ "interchange",
"types",
"typing",
]
diff --git a/pandas/api/extensions/__init__.py b/pandas/api/extensions/__init__.py
index ea5f1ba926899f9d11e34e70181ed77cae7ead1d..1c88c0d35b4d70270e2bb7b4a1a6e77f03555592 100644
--- a/pandas/api/extensions/__init__.py
+++ b/pandas/api/extensions/__init__.py
@@ -21,13 +21,13 @@ from pandas.core.arrays import (
)
__all__ = [
- "no_default",
+ "ExtensionArray",
"ExtensionDtype",
- "register_extension_dtype",
+ "ExtensionScalarOpsMixin",
+ "no_default",
"register_dataframe_accessor",
+ "register_extension_dtype",
"register_index_accessor",
"register_series_accessor",
"take",
- "ExtensionArray",
- "ExtensionScalarOpsMixin",
]
diff --git a/pandas/api/indexers/__init__.py b/pandas/api/indexers/__init__.py
index 78357f11dc3b79f13490b91c69ef5457fbfa9768..f3c6546218de4ce8ddc3b044fc26b6946065b07e 100644
--- a/pandas/api/indexers/__init__.py
+++ b/pandas/api/indexers/__init__.py
@@ -10,8 +10,8 @@ from pandas.core.indexers.objects import (
)
__all__ = [
- "check_array_indexer",
"BaseIndexer",
"FixedForwardWindowIndexer",
"VariableOffsetWindowIndexer",
+ "check_array_indexer",
]
diff --git a/pandas/api/interchange/__init__.py b/pandas/api/interchange/__init__.py
index 2f3a73bc46b3109c3c13e1a3468a69aed2ffb2e8..aded37abc7224a6b24180beba2f52be60d7ae25d 100644
--- a/pandas/api/interchange/__init__.py
+++ b/pandas/api/interchange/__init__.py
@@ -5,4 +5,4 @@ Public API for DataFrame interchange protocol.
from pandas.core.interchange.dataframe_protocol import DataFrame
from pandas.core.interchange.from_dataframe import from_dataframe
-__all__ = ["from_dataframe", "DataFrame"]
+__all__ = ["DataFrame", "from_dataframe"]
diff --git a/pandas/api/types/__init__.py b/pandas/api/types/__init__.py
index c601086bb9f86a633d6a3f2245779fea9428bf95..4a5c742b1628b797e1015247b1a2b52e0bda4470 100644
--- a/pandas/api/types/__init__.py
+++ b/pandas/api/types/__init__.py
@@ -14,10 +14,10 @@ from pandas.core.dtypes.dtypes import (
)
__all__ = [
- "infer_dtype",
- "union_categoricals",
"CategoricalDtype",
"DatetimeTZDtype",
"IntervalDtype",
"PeriodDtype",
+ "infer_dtype",
+ "union_categoricals",
]
diff --git a/pandas/api/typing/__init__.py b/pandas/api/typing/__init__.py
index c58fa0f08526604d94b9af261da77f7a3c45236c..a18a1e9d5cbb79dad06d518988c6b855350b51d8 100644
--- a/pandas/api/typing/__init__.py
+++ b/pandas/api/typing/__init__.py
@@ -42,18 +42,16 @@ __all__ = [
"ExponentialMovingWindowGroupby",
"FrozenList",
"JsonReader",
- "NaTType",
"NAType",
+ "NaTType",
"PeriodIndexResamplerGroupby",
"Resampler",
"Rolling",
"RollingGroupby",
+ "SASReader",
"SeriesGroupBy",
"StataReader",
- "SASReader",
- # See TODO above
- # "Styler",
- "TimedeltaIndexResamplerGroupby",
"TimeGrouper",
+ "TimedeltaIndexResamplerGroupby",
"Window",
]
diff --git a/pandas/compat/__init__.py b/pandas/compat/__init__.py
index 756c209661fbbf0648c8b4f34f998def2a133b4f..e7674386408f76ad951d26ac4e996429a008a9c0 100644
--- a/pandas/compat/__init__.py
+++ b/pandas/compat/__init__.py
@@ -150,6 +150,13 @@ def is_ci_environment() -> bool:
__all__ = [
+ "HAS_PYARROW",
+ "IS64",
+ "ISMUSL",
+ "PY311",
+ "PY312",
+ "PYPY",
+ "WASM",
"is_numpy_dev",
"pa_version_under10p1",
"pa_version_under11p0",
@@ -159,11 +166,4 @@ __all__ = [
"pa_version_under16p0",
"pa_version_under17p0",
"pa_version_under18p0",
- "HAS_PYARROW",
- "IS64",
- "ISMUSL",
- "PY311",
- "PY312",
- "PYPY",
- "WASM",
]
diff --git a/pandas/compat/numpy/__init__.py b/pandas/compat/numpy/__init__.py
index 2fab8f32b8e713a13715128a815e76112c8be845..3306b36d718065ffa87be8917ea3000f86637cca 100644
--- a/pandas/compat/numpy/__init__.py
+++ b/pandas/compat/numpy/__init__.py
@@ -47,7 +47,7 @@ else:
__all__ = [
- "np",
"_np_version",
"is_numpy_dev",
+ "np",
]
diff --git a/pandas/core/_numba/kernels/__init__.py b/pandas/core/_numba/kernels/__init__.py
index 1116c61c4ca8e48d94a6c9c6222aaf545d989e86..6983711480455244c4e99ad06717e541d4cb16d2 100644
--- a/pandas/core/_numba/kernels/__init__.py
+++ b/pandas/core/_numba/kernels/__init__.py
@@ -16,12 +16,12 @@ from pandas.core._numba.kernels.var_ import (
)
__all__ = [
- "sliding_mean",
"grouped_mean",
- "sliding_sum",
+ "grouped_min_max",
"grouped_sum",
- "sliding_var",
"grouped_var",
+ "sliding_mean",
"sliding_min_max",
- "grouped_min_max",
+ "sliding_sum",
+ "sliding_var",
]
diff --git a/pandas/core/api.py b/pandas/core/api.py
index c8a4e9d8a23b2c7e014bc8abce39946b99c6add8..ec12d543d8389afa38c7c84a658dcaeee960690c 100644
--- a/pandas/core/api.py
+++ b/pandas/core/api.py
@@ -80,59 +80,59 @@ from pandas.tseries.offsets import DateOffset
from pandas.core.frame import DataFrame # isort:skip
__all__ = [
- "array",
+ "NA",
"ArrowDtype",
- "bdate_range",
"BooleanDtype",
"Categorical",
"CategoricalDtype",
"CategoricalIndex",
"DataFrame",
"DateOffset",
- "date_range",
"DatetimeIndex",
"DatetimeTZDtype",
- "factorize",
"Flags",
"Float32Dtype",
"Float64Dtype",
"Grouper",
"Index",
"IndexSlice",
+ "Int8Dtype",
"Int16Dtype",
"Int32Dtype",
"Int64Dtype",
- "Int8Dtype",
"Interval",
"IntervalDtype",
"IntervalIndex",
- "interval_range",
- "isna",
- "isnull",
"MultiIndex",
- "NA",
- "NamedAgg",
"NaT",
- "notna",
- "notnull",
+ "NamedAgg",
"Period",
"PeriodDtype",
"PeriodIndex",
- "period_range",
"RangeIndex",
"Series",
- "set_eng_float_format",
"StringDtype",
"Timedelta",
"TimedeltaIndex",
- "timedelta_range",
"Timestamp",
- "to_datetime",
- "to_numeric",
- "to_timedelta",
+ "UInt8Dtype",
"UInt16Dtype",
"UInt32Dtype",
"UInt64Dtype",
- "UInt8Dtype",
+ "array",
+ "bdate_range",
+ "date_range",
+ "factorize",
+ "interval_range",
+ "isna",
+ "isnull",
+ "notna",
+ "notnull",
+ "period_range",
+ "set_eng_float_format",
+ "timedelta_range",
+ "to_datetime",
+ "to_numeric",
+ "to_timedelta",
"unique",
]
diff --git a/pandas/core/arrays/__init__.py b/pandas/core/arrays/__init__.py
index 245a171fea74bc9409a315b64d157a37b3da6eaa..f183e9236471e4b426be97e654f144d81e31a941 100644
--- a/pandas/core/arrays/__init__.py
+++ b/pandas/core/arrays/__init__.py
@@ -23,21 +23,21 @@ from pandas.core.arrays.timedeltas import TimedeltaArray
__all__ = [
"ArrowExtensionArray",
- "ExtensionArray",
- "ExtensionOpsMixin",
- "ExtensionScalarOpsMixin",
"ArrowStringArray",
"BaseMaskedArray",
"BooleanArray",
"Categorical",
"DatetimeArray",
+ "ExtensionArray",
+ "ExtensionOpsMixin",
+ "ExtensionScalarOpsMixin",
"FloatingArray",
"IntegerArray",
"IntervalArray",
"NumpyExtensionArray",
"PeriodArray",
- "period_array",
"SparseArray",
"StringArray",
"TimedeltaArray",
+ "period_array",
]
diff --git a/pandas/core/arrays/arrow/__init__.py b/pandas/core/arrays/arrow/__init__.py
index 5fc50f786fc6a6c51f78ef9ebd4ee6ed26a2bab3..50274a2de2cc1e34dedece512bc53ad50a3d9ccf 100644
--- a/pandas/core/arrays/arrow/__init__.py
+++ b/pandas/core/arrays/arrow/__init__.py
@@ -4,4 +4,4 @@ from pandas.core.arrays.arrow.accessors import (
)
from pandas.core.arrays.arrow.array import ArrowExtensionArray
-__all__ = ["ArrowExtensionArray", "StructAccessor", "ListAccessor"]
+__all__ = ["ArrowExtensionArray", "ListAccessor", "StructAccessor"]
diff --git a/pandas/core/arrays/arrow/array.py b/pandas/core/arrays/arrow/array.py
index e0c93db0afb07a8dcb12bcf6cd47afc9956f9c8a..afa219f611992517bf89db09d846abb53b9b2474 100644
--- a/pandas/core/arrays/arrow/array.py
+++ b/pandas/core/arrays/arrow/array.py
@@ -1446,8 +1446,7 @@ class ArrowExtensionArray(
pa.types.is_floating(pa_type)
and (
na_value is np.nan
- or original_na_value is lib.no_default
- and is_float_dtype(dtype)
+ or (original_na_value is lib.no_default and is_float_dtype(dtype))
)
):
result = data._pa_array.to_numpy()
diff --git a/pandas/core/arrays/sparse/__init__.py b/pandas/core/arrays/sparse/__init__.py
index adf83963aca39e7d2ec2da55d21fc69aaca48977..93d5cb8cc335a4c8d59f6a367a8061dd16623524 100644
--- a/pandas/core/arrays/sparse/__init__.py
+++ b/pandas/core/arrays/sparse/__init__.py
@@ -12,8 +12,8 @@ from pandas.core.arrays.sparse.array import (
__all__ = [
"BlockIndex",
"IntIndex",
- "make_sparse_index",
"SparseAccessor",
"SparseArray",
"SparseFrameAccessor",
+ "make_sparse_index",
]
diff --git a/pandas/core/computation/eval.py b/pandas/core/computation/eval.py
index 4ccfbd71d9ce8b735e24a7d86a330161f5e05294..86f83489e71ae3809987cae90599d2d0efa64a00 100644
--- a/pandas/core/computation/eval.py
+++ b/pandas/core/computation/eval.py
@@ -371,10 +371,12 @@ def eval(
is_extension_array_dtype(parsed_expr.terms.return_type)
and not is_string_dtype(parsed_expr.terms.return_type)
)
- or getattr(parsed_expr.terms, "operand_types", None) is not None
- and any(
- (is_extension_array_dtype(elem) and not is_string_dtype(elem))
- for elem in parsed_expr.terms.operand_types
+ or (
+ getattr(parsed_expr.terms, "operand_types", None) is not None
+ and any(
+ (is_extension_array_dtype(elem) and not is_string_dtype(elem))
+ for elem in parsed_expr.terms.operand_types
+ )
)
):
warnings.warn(
diff --git a/pandas/core/computation/expr.py b/pandas/core/computation/expr.py
index 7025d8a72e5617dc6ec8e838a520273553424691..010fad1bbf0b66334c34eea1079bde838905b7d2 100644
--- a/pandas/core/computation/expr.py
+++ b/pandas/core/computation/expr.py
@@ -512,8 +512,7 @@ class BaseExprVisitor(ast.NodeVisitor):
)
if self.engine != "pytables" and (
- res.op in CMP_OPS_SYMS
- and getattr(lhs, "is_datetime", False)
+ (res.op in CMP_OPS_SYMS and getattr(lhs, "is_datetime", False))
or getattr(rhs, "is_datetime", False)
):
# all date ops must be done in python bc numexpr doesn't work
diff --git a/pandas/core/computation/pytables.py b/pandas/core/computation/pytables.py
index 39511048abf492a7168934b4403d5da3494d407d..fe7e27f537b0173cfd487193270beedad150870e 100644
--- a/pandas/core/computation/pytables.py
+++ b/pandas/core/computation/pytables.py
@@ -408,11 +408,12 @@ class UnaryOp(ops.UnaryOp):
operand = operand.prune(klass)
if operand is not None and (
- issubclass(klass, ConditionBinOp)
- and operand.condition is not None
- or not issubclass(klass, ConditionBinOp)
- and issubclass(klass, FilterBinOp)
- and operand.filter is not None
+ (issubclass(klass, ConditionBinOp) and operand.condition is not None)
+ or (
+ not issubclass(klass, ConditionBinOp)
+ and issubclass(klass, FilterBinOp)
+ and operand.filter is not None
+ )
):
return operand.invert()
return None
diff --git a/pandas/core/computation/scope.py b/pandas/core/computation/scope.py
index 7b31e03e58b4ba932f602e519064e7fe732819c6..336d62b9d9579dc0b016c0b19ac400d416899676 100644
--- a/pandas/core/computation/scope.py
+++ b/pandas/core/computation/scope.py
@@ -140,7 +140,7 @@ class Scope:
temps : dict
"""
- __slots__ = ["level", "scope", "target", "resolvers", "temps"]
+ __slots__ = ["level", "resolvers", "scope", "target", "temps"]
level: int
scope: DeepChainMap
resolvers: DeepChainMap
diff --git a/pandas/core/dtypes/common.py b/pandas/core/dtypes/common.py
index 8f93b1a397c1fc3f25d2835a02e21014be3a7d7f..6fa21d9410187b5ea35783ab1a15fc477fe07408 100644
--- a/pandas/core/dtypes/common.py
+++ b/pandas/core/dtypes/common.py
@@ -1889,13 +1889,14 @@ def is_all_strings(value: ArrayLike) -> bool:
__all__ = [
- "classes",
"DT64NS_DTYPE",
+ "INT64_DTYPE",
+ "TD64NS_DTYPE",
+ "classes",
"ensure_float64",
"ensure_python_int",
"ensure_str",
"infer_dtype_from_object",
- "INT64_DTYPE",
"is_1d_only_ea_dtype",
"is_all_strings",
"is_any_real_numeric_dtype",
@@ -1940,6 +1941,5 @@ __all__ = [
"is_unsigned_integer_dtype",
"needs_i8_conversion",
"pandas_dtype",
- "TD64NS_DTYPE",
"validate_all_hashable",
]
diff --git a/pandas/core/dtypes/dtypes.py b/pandas/core/dtypes/dtypes.py
index e5d1033de4457f283bb17f490dd11885fafd0a78..1dd1b12d6ae959f2ce1761e3545fa6b1a95718e2 100644
--- a/pandas/core/dtypes/dtypes.py
+++ b/pandas/core/dtypes/dtypes.py
@@ -73,7 +73,7 @@ if TYPE_CHECKING:
from collections.abc import MutableMapping
from datetime import tzinfo
- import pyarrow as pa # noqa: TCH004
+ import pyarrow as pa # noqa: TC004
from pandas._typing import (
Dtype,
@@ -1115,10 +1115,8 @@ class PeriodDtype(PeriodDtypeBase, PandasExtensionDtype):
possible
"""
if (
- isinstance(string, str)
- and (string.startswith(("period[", "Period[")))
- or isinstance(string, BaseOffset)
- ):
+ isinstance(string, str) and (string.startswith(("period[", "Period[")))
+ ) or isinstance(string, BaseOffset):
# do not parse string like U as period[U]
# avoid tuple to be regarded as freq
try:
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index d1450537dd7402f6dc1d01906b9ed32e4436f0d6..33a419925f70ce9e62ca52ec37a0fcf34d7759a3 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -3929,8 +3929,7 @@ class DataFrame(NDFrame, OpsMixin):
# GH#45316 Return view if key is not duplicated
# Only use drop_duplicates with duplicates for performance
if not is_mi and (
- self.columns.is_unique
- and key in self.columns
+ (self.columns.is_unique and key in self.columns)
or key in self.columns.drop_duplicates(keep=False)
):
return self._get_item(key)
@@ -6776,8 +6775,7 @@ class DataFrame(NDFrame, OpsMixin):
elif (
not np.iterable(subset)
or isinstance(subset, str)
- or isinstance(subset, tuple)
- and subset in self.columns
+ or (isinstance(subset, tuple) and subset in self.columns)
):
subset = (subset,)
diff --git a/pandas/core/groupby/__init__.py b/pandas/core/groupby/__init__.py
index 8248f378e2c1acea37bdc2d41065c591360b902a..ec477626a098f89a2eacacaeafa728fc4973ab5d 100644
--- a/pandas/core/groupby/__init__.py
+++ b/pandas/core/groupby/__init__.py
@@ -8,8 +8,8 @@ from pandas.core.groupby.grouper import Grouper
__all__ = [
"DataFrameGroupBy",
- "NamedAgg",
- "SeriesGroupBy",
"GroupBy",
"Grouper",
+ "NamedAgg",
+ "SeriesGroupBy",
]
diff --git a/pandas/core/indexers/__init__.py b/pandas/core/indexers/__init__.py
index ba8a4f1d0ee7adb668c6b0ac49b2360d3c0dc356..036b32b3feac26e4870a433c0702c03a2da84284 100644
--- a/pandas/core/indexers/__init__.py
+++ b/pandas/core/indexers/__init__.py
@@ -15,17 +15,17 @@ from pandas.core.indexers.utils import (
)
__all__ = [
- "is_valid_positional_slice",
+ "check_array_indexer",
+ "check_key_length",
+ "check_setitem_lengths",
+ "disallow_ndim_indexing",
+ "is_empty_indexer",
"is_list_like_indexer",
"is_scalar_indexer",
- "is_empty_indexer",
- "check_setitem_lengths",
- "validate_indices",
- "maybe_convert_indices",
+ "is_valid_positional_slice",
"length_of_indexer",
- "disallow_ndim_indexing",
+ "maybe_convert_indices",
"unpack_1tuple",
- "check_key_length",
- "check_array_indexer",
"unpack_tuple_and_ellipses",
+ "validate_indices",
]
diff --git a/pandas/core/indexes/api.py b/pandas/core/indexes/api.py
index 5144e647e73b4b5118b8852bbc4e8879b6de7695..058e58433690554a370926266e6609aa1ae4cfd8 100644
--- a/pandas/core/indexes/api.py
+++ b/pandas/core/indexes/api.py
@@ -37,26 +37,26 @@ if TYPE_CHECKING:
__all__ = [
- "Index",
- "MultiIndex",
"CategoricalIndex",
+ "DatetimeIndex",
+ "Index",
"IntervalIndex",
- "RangeIndex",
"InvalidIndexError",
- "TimedeltaIndex",
+ "MultiIndex",
+ "NaT",
"PeriodIndex",
- "DatetimeIndex",
+ "RangeIndex",
+ "TimedeltaIndex",
"_new_Index",
- "NaT",
+ "all_indexes_same",
+ "default_index",
"ensure_index",
"ensure_index_from_sequences",
"get_objs_combined_axis",
- "union_indexes",
"get_unanimous_names",
- "all_indexes_same",
- "default_index",
- "safe_sort_index",
"maybe_sequence_to_range",
+ "safe_sort_index",
+ "union_indexes",
]
diff --git a/pandas/core/indexes/range.py b/pandas/core/indexes/range.py
index 7eeaab3b0443f1e7c7e53fa51ef8fdbdd5480833..935762d0455c5d93ceb8a0b93205116cf37fb93a 100644
--- a/pandas/core/indexes/range.py
+++ b/pandas/core/indexes/range.py
@@ -1195,7 +1195,7 @@ class RangeIndex(Index):
@unpack_zerodim_and_defer("__floordiv__")
def __floordiv__(self, other):
if is_integer(other) and other != 0:
- if len(self) == 0 or self.start % other == 0 and self.step % other == 0:
+ if len(self) == 0 or (self.start % other == 0 and self.step % other == 0):
start = self.start // other
step = self.step // other
stop = start + len(self) * step
diff --git a/pandas/core/indexing.py b/pandas/core/indexing.py
index 0d6d7e68f58a45ff6d38b04b85ae987255201016..e0bc0a23acd9f99064f3e00ad254f2cc9de5e7b5 100644
--- a/pandas/core/indexing.py
+++ b/pandas/core/indexing.py
@@ -1239,8 +1239,10 @@ class _LocIndexer(_LocationIndexer):
if isinstance(key, bool) and not (
is_bool_dtype(ax.dtype)
or ax.dtype.name == "boolean"
- or isinstance(ax, MultiIndex)
- and is_bool_dtype(ax.get_level_values(0).dtype)
+ or (
+ isinstance(ax, MultiIndex)
+ and is_bool_dtype(ax.get_level_values(0).dtype)
+ )
):
raise KeyError(
f"{key}: boolean label can not be used without a boolean index"
@@ -2120,7 +2122,7 @@ class _iLocIndexer(_LocationIndexer):
is_full_setter = com.is_null_slice(pi) or com.is_full_slice(pi, len(self.obj))
- is_null_setter = com.is_empty_slice(pi) or is_array_like(pi) and len(pi) == 0
+ is_null_setter = com.is_empty_slice(pi) or (is_array_like(pi) and len(pi) == 0)
if is_null_setter:
# no-op, don't cast dtype later
@@ -2744,19 +2746,15 @@ def check_dict_or_set_indexers(key) -> None:
"""
Check if the indexer is or contains a dict or set, which is no longer allowed.
"""
- if (
- isinstance(key, set)
- or isinstance(key, tuple)
- and any(isinstance(x, set) for x in key)
+ if isinstance(key, set) or (
+ isinstance(key, tuple) and any(isinstance(x, set) for x in key)
):
raise TypeError(
"Passing a set as an indexer is not supported. Use a list instead."
)
- if (
- isinstance(key, dict)
- or isinstance(key, tuple)
- and any(isinstance(x, dict) for x in key)
+ if isinstance(key, dict) or (
+ isinstance(key, tuple) and any(isinstance(x, dict) for x in key)
):
raise TypeError(
"Passing a dict as an indexer is not supported. Use a list instead."
diff --git a/pandas/core/internals/__init__.py b/pandas/core/internals/__init__.py
index 5ab70ba38f9c22508e9525d803ae43f2b71efd0c..202bebde88c2ce29226f04232204e901bff7a88a 100644
--- a/pandas/core/internals/__init__.py
+++ b/pandas/core/internals/__init__.py
@@ -7,11 +7,11 @@ from pandas.core.internals.managers import (
__all__ = [
"Block",
- "ExtensionBlock",
- "make_block",
"BlockManager",
+ "ExtensionBlock",
"SingleBlockManager",
"concatenate_managers",
+ "make_block",
]
diff --git a/pandas/core/internals/blocks.py b/pandas/core/internals/blocks.py
index 54273ff89f1aff02edd8994b5e75c5175eac7dfb..f44ad926dda5cdc8f61714533ec7353fdf59f96f 100644
--- a/pandas/core/internals/blocks.py
+++ b/pandas/core/internals/blocks.py
@@ -514,9 +514,8 @@ class Block(PandasObject, libinternals.Block):
convert_non_numeric=True,
)
refs = None
- if (
- res_values is values
- or isinstance(res_values, NumpyExtensionArray)
+ if res_values is values or (
+ isinstance(res_values, NumpyExtensionArray)
and res_values._ndarray is values
):
refs = self.refs
diff --git a/pandas/core/internals/construction.py b/pandas/core/internals/construction.py
index f357a53a10be838441933dac459df23d69b2551c..dfff34656f82b9f2869a192252b5f45bf18f7a77 100644
--- a/pandas/core/internals/construction.py
+++ b/pandas/core/internals/construction.py
@@ -417,8 +417,7 @@ def dict_to_mgr(
else x.copy(deep=True)
if (
isinstance(x, Index)
- or isinstance(x, ABCSeries)
- and is_1d_only_ea_dtype(x.dtype)
+ or (isinstance(x, ABCSeries) and is_1d_only_ea_dtype(x.dtype))
)
else x
for x in arrays
diff --git a/pandas/core/ops/__init__.py b/pandas/core/ops/__init__.py
index 34a0bb1f45e2ccdb8a942b467090f2b6533804de..9f9d69a182f72c9ea01a621eca69d040b203119f 100644
--- a/pandas/core/ops/__init__.py
+++ b/pandas/core/ops/__init__.py
@@ -66,15 +66,18 @@ ARITHMETIC_BINOPS: set[str] = {
__all__ = [
"ARITHMETIC_BINOPS",
"arithmetic_op",
- "comparison_op",
"comp_method_OBJECT_ARRAY",
- "invalid_comparison",
+ "comparison_op",
"fill_binop",
+ "get_array_op",
+ "get_op_result_name",
+ "invalid_comparison",
"kleene_and",
"kleene_or",
"kleene_xor",
"logical_op",
"make_flex_doc",
+ "maybe_prepare_scalar_for_op",
"radd",
"rand_",
"rdiv",
@@ -88,7 +91,4 @@ __all__ = [
"rtruediv",
"rxor",
"unpack_zerodim_and_defer",
- "get_op_result_name",
- "maybe_prepare_scalar_for_op",
- "get_array_op",
]
diff --git a/pandas/core/resample.py b/pandas/core/resample.py
index ca4d3fc768efb42ed1323441b8ebc3ee0c466cc6..fdfb9f21bdb9f8821646b5254e11aaed3a008817 100644
--- a/pandas/core/resample.py
+++ b/pandas/core/resample.py
@@ -2002,9 +2002,7 @@ class TimeGrouper(Grouper):
raise ValueError(f"Unsupported value {convention} for `convention`")
if (
- key is None
- and obj is not None
- and isinstance(obj.index, PeriodIndex) # type: ignore[attr-defined]
+ (key is None and obj is not None and isinstance(obj.index, PeriodIndex)) # type: ignore[attr-defined]
or (
key is not None
and obj is not None
diff --git a/pandas/core/reshape/merge.py b/pandas/core/reshape/merge.py
index 6f9bb8cb24f438ee19b429b8de7f74cba76d7a8f..5fddd9f9aca5b60ce8f096f26e3c73369dd3bba7 100644
--- a/pandas/core/reshape/merge.py
+++ b/pandas/core/reshape/merge.py
@@ -2746,8 +2746,7 @@ def _factorize_keys(
isinstance(lk.dtype, ArrowDtype)
and (
is_numeric_dtype(lk.dtype.numpy_dtype)
- or is_string_dtype(lk.dtype)
- and not sort
+ or (is_string_dtype(lk.dtype) and not sort)
)
):
lk, _ = lk._values_for_factorize()
diff --git a/pandas/core/tools/numeric.py b/pandas/core/tools/numeric.py
index f159babb7e018e5687e74f27a643daa2a9035671..bc45343d6e2d3b42ce6d0739cd3025e655fc8fe1 100644
--- a/pandas/core/tools/numeric.py
+++ b/pandas/core/tools/numeric.py
@@ -226,19 +226,18 @@ def to_numeric(
set(),
coerce_numeric=coerce_numeric,
convert_to_masked_nullable=dtype_backend is not lib.no_default
- or isinstance(values_dtype, StringDtype)
- and values_dtype.na_value is libmissing.NA,
+ or (
+ isinstance(values_dtype, StringDtype)
+ and values_dtype.na_value is libmissing.NA
+ ),
)
if new_mask is not None:
# Remove unnecessary values, is expected later anyway and enables
# downcasting
values = values[~new_mask]
- elif (
- dtype_backend is not lib.no_default
- and new_mask is None
- or isinstance(values_dtype, StringDtype)
- and values_dtype.na_value is libmissing.NA
+ elif (dtype_backend is not lib.no_default and new_mask is None) or (
+ isinstance(values_dtype, StringDtype) and values_dtype.na_value is libmissing.NA
):
new_mask = np.zeros(values.shape, dtype=np.bool_)
diff --git a/pandas/errors/__init__.py b/pandas/errors/__init__.py
index b1a338893fe0aae3174179cf0ecf984a7d3163a8..1de6f06ef316c58744d7e779ff31a6f7f7f4dbdf 100644
--- a/pandas/errors/__init__.py
+++ b/pandas/errors/__init__.py
@@ -865,28 +865,28 @@ class InvalidComparison(Exception):
__all__ = [
"AbstractMethodError",
"AttributeConflictWarning",
+ "CSSWarning",
"CategoricalConversionWarning",
"ChainedAssignmentError",
"ClosedFileError",
- "CSSWarning",
- "DatabaseError",
"DataError",
+ "DatabaseError",
"DtypeWarning",
"DuplicateLabelError",
"EmptyDataError",
"IncompatibilityWarning",
+ "IndexingError",
"IntCastingNaNError",
"InvalidColumnName",
"InvalidComparison",
"InvalidIndexError",
"InvalidVersion",
- "IndexingError",
"LossySetitemError",
"MergeError",
"NoBufferPresent",
"NullFrequencyError",
- "NumbaUtilError",
"NumExprClobberingError",
+ "NumbaUtilError",
"OptionError",
"OutOfBoundsDatetime",
"OutOfBoundsTimedelta",
diff --git a/pandas/io/__init__.py b/pandas/io/__init__.py
index c804b81c49e7c8abb406f2132909df6036df1c09..1c7e531debb1426624186453b622cfccd11d44ef 100644
--- a/pandas/io/__init__.py
+++ b/pandas/io/__init__.py
@@ -1,4 +1,4 @@
-# ruff: noqa: TCH004
+# ruff: noqa: TC004
from typing import TYPE_CHECKING
if TYPE_CHECKING:
diff --git a/pandas/io/excel/__init__.py b/pandas/io/excel/__init__.py
index 275cbf0148f944eb04ca6c40c624cc5df77aa626..f13d7afa63d8445d9ec16f8b109bc241802517e5 100644
--- a/pandas/io/excel/__init__.py
+++ b/pandas/io/excel/__init__.py
@@ -8,7 +8,7 @@ from pandas.io.excel._openpyxl import OpenpyxlWriter as _OpenpyxlWriter
from pandas.io.excel._util import register_writer
from pandas.io.excel._xlsxwriter import XlsxWriter as _XlsxWriter
-__all__ = ["read_excel", "ExcelWriter", "ExcelFile"]
+__all__ = ["ExcelFile", "ExcelWriter", "read_excel"]
register_writer(_OpenpyxlWriter)
diff --git a/pandas/io/formats/__init__.py b/pandas/io/formats/__init__.py
index 5e56b1bc7ba4377cc5de9d68a1424524aef21cb5..895669c342f97777caf368429689b8499e3adb92 100644
--- a/pandas/io/formats/__init__.py
+++ b/pandas/io/formats/__init__.py
@@ -1,4 +1,4 @@
-# ruff: noqa: TCH004
+# ruff: noqa: TC004
from typing import TYPE_CHECKING
if TYPE_CHECKING:
diff --git a/pandas/io/json/__init__.py b/pandas/io/json/__init__.py
index 8f4e7a62834b57c151189cdd2994a55d1ad9f7de..39f78e26d60417d324fdb65ec29f60c0586c3512 100644
--- a/pandas/io/json/__init__.py
+++ b/pandas/io/json/__init__.py
@@ -7,9 +7,9 @@ from pandas.io.json._json import (
from pandas.io.json._table_schema import build_table_schema
__all__ = [
- "ujson_dumps",
- "ujson_loads",
+ "build_table_schema",
"read_json",
"to_json",
- "build_table_schema",
+ "ujson_dumps",
+ "ujson_loads",
]
diff --git a/pandas/io/json/_json.py b/pandas/io/json/_json.py
index 983780f81043fcfa65a58ec8e61959c5bbab4ef8..237518b3c8d926492db018d76e79a3f7b2a6db8e 100644
--- a/pandas/io/json/_json.py
+++ b/pandas/io/json/_json.py
@@ -364,10 +364,8 @@ class JSONTableWriter(FrameWriter):
)
# TODO: Do this timedelta properly in objToJSON.c See GH #15137
- if (
- (obj.ndim == 1)
- and (obj.name in set(obj.index.names))
- or len(obj.columns.intersection(obj.index.names))
+ if ((obj.ndim == 1) and (obj.name in set(obj.index.names))) or len(
+ obj.columns.intersection(obj.index.names)
):
msg = "Overlapping names between the index and columns"
raise ValueError(msg)
diff --git a/pandas/io/parsers/base_parser.py b/pandas/io/parsers/base_parser.py
index 7294efe843cce1d5f58c70be4d81920de61fdf9b..e263c69376d0545dd3c68ce9cff2b5fd7d5366c3 100644
--- a/pandas/io/parsers/base_parser.py
+++ b/pandas/io/parsers/base_parser.py
@@ -368,7 +368,7 @@ class ParserBase:
index_converter = converters.get(self.index_names[i]) is not None
try_num_bool = not (
- cast_type and is_string_dtype(cast_type) or index_converter
+ (cast_type and is_string_dtype(cast_type)) or index_converter
)
arr, _ = self._infer_types(
diff --git a/pandas/io/parsers/python_parser.py b/pandas/io/parsers/python_parser.py
index 99d584db61755793a6e361e59feb4accc2b80f80..db9547a18b600c727a605697dea5cb71f18ce85e 100644
--- a/pandas/io/parsers/python_parser.py
+++ b/pandas/io/parsers/python_parser.py
@@ -1052,8 +1052,9 @@ class PythonParser(ParserBase):
for line in lines
if (
len(line) > 1
- or len(line) == 1
- and (not isinstance(line[0], str) or line[0].strip())
+ or (
+ len(line) == 1 and (not isinstance(line[0], str) or line[0].strip())
+ )
)
]
return ret
diff --git a/pandas/io/stata.py b/pandas/io/stata.py
index 63f729c8347b15291a739fdd15d8bd2515b999b5..053e331925b6f57e3bcc18cdf376de95287a1238 100644
--- a/pandas/io/stata.py
+++ b/pandas/io/stata.py
@@ -2206,15 +2206,15 @@ def _convert_datetime_to_stata_type(fmt: str) -> np.dtype:
def _maybe_convert_to_int_keys(convert_dates: dict, varlist: list[Hashable]) -> dict:
new_dict = {}
- for key in convert_dates:
- if not convert_dates[key].startswith("%"): # make sure proper fmts
- convert_dates[key] = "%" + convert_dates[key]
+ for key, value in convert_dates.items():
+ if not value.startswith("%"): # make sure proper fmts
+ convert_dates[key] = "%" + value
if key in varlist:
- new_dict.update({varlist.index(key): convert_dates[key]})
+ new_dict[varlist.index(key)] = value
else:
if not isinstance(key, int):
raise ValueError("convert_dates key must be a column or an integer")
- new_dict.update({key: convert_dates[key]})
+ new_dict[key] = value
return new_dict
@@ -2879,7 +2879,7 @@ supported types."""
# ds_format - just use 114
self._write_bytes(struct.pack("b", 114))
# byteorder
- self._write(byteorder == ">" and "\x01" or "\x02")
+ self._write((byteorder == ">" and "\x01") or "\x02")
# filetype
self._write("\x01")
# unused
@@ -3425,7 +3425,7 @@ class StataWriter117(StataWriter):
# ds_format - 117
bio.write(self._tag(bytes(str(self._dta_version), "utf-8"), "release"))
# byteorder
- bio.write(self._tag(byteorder == ">" and "MSF" or "LSF", "byteorder"))
+ bio.write(self._tag((byteorder == ">" and "MSF") or "LSF", "byteorder"))
# number of vars, 2 bytes in 117 and 118, 4 byte in 119
nvar_type = "H" if self._dta_version <= 118 else "I"
bio.write(self._tag(struct.pack(byteorder + nvar_type, self.nvar), "K"))
diff --git a/pandas/plotting/__init__.py b/pandas/plotting/__init__.py
index c7a4c1eacfcaec2954e4eefe8488cba89dbd61df..837bfaf82ca272672cb6bd91adb83154e66a508e 100644
--- a/pandas/plotting/__init__.py
+++ b/pandas/plotting/__init__.py
@@ -80,20 +80,20 @@ from pandas.plotting._misc import (
__all__ = [
"PlotAccessor",
+ "andrews_curves",
+ "autocorrelation_plot",
+ "bootstrap_plot",
"boxplot",
"boxplot_frame",
"boxplot_frame_groupby",
+ "deregister_matplotlib_converters",
"hist_frame",
"hist_series",
- "scatter_matrix",
- "radviz",
- "andrews_curves",
- "bootstrap_plot",
- "parallel_coordinates",
"lag_plot",
- "autocorrelation_plot",
- "table",
+ "parallel_coordinates",
"plot_params",
+ "radviz",
"register_matplotlib_converters",
- "deregister_matplotlib_converters",
+ "scatter_matrix",
+ "table",
]
diff --git a/pandas/plotting/_matplotlib/__init__.py b/pandas/plotting/_matplotlib/__init__.py
index 87f3ca09ad346cc04ece5af2ce0bab6814b2ee46..ff28868aa003326355f0e3e4b5b7914edb63121c 100644
--- a/pandas/plotting/_matplotlib/__init__.py
+++ b/pandas/plotting/_matplotlib/__init__.py
@@ -74,20 +74,20 @@ def plot(data, kind, **kwargs):
__all__ = [
- "plot",
- "hist_series",
- "hist_frame",
- "boxplot",
- "boxplot_frame",
- "boxplot_frame_groupby",
- "table",
"andrews_curves",
"autocorrelation_plot",
"bootstrap_plot",
+ "boxplot",
+ "boxplot_frame",
+ "boxplot_frame_groupby",
+ "deregister",
+ "hist_frame",
+ "hist_series",
"lag_plot",
"parallel_coordinates",
+ "plot",
"radviz",
- "scatter_matrix",
"register",
- "deregister",
+ "scatter_matrix",
+ "table",
]
diff --git a/pandas/testing.py b/pandas/testing.py
index 0445fa5b5efc0a7f7002b7ea0cac8547324e8015..433b22bf1107e1d199c3070fa5c7aef45df6758c 100644
--- a/pandas/testing.py
+++ b/pandas/testing.py
@@ -12,6 +12,6 @@ from pandas._testing import (
__all__ = [
"assert_extension_array_equal",
"assert_frame_equal",
- "assert_series_equal",
"assert_index_equal",
+ "assert_series_equal",
]
diff --git a/pandas/tests/extension/decimal/__init__.py b/pandas/tests/extension/decimal/__init__.py
index 34727b43a7b0fb325143dfedee4db25c4b56f5db..47b1c7c57a47a5c59c5711cf8ca7de1a65013103 100644
--- a/pandas/tests/extension/decimal/__init__.py
+++ b/pandas/tests/extension/decimal/__init__.py
@@ -5,4 +5,4 @@ from pandas.tests.extension.decimal.array import (
to_decimal,
)
-__all__ = ["DecimalArray", "DecimalDtype", "to_decimal", "make_data"]
+__all__ = ["DecimalArray", "DecimalDtype", "make_data", "to_decimal"]
diff --git a/pandas/tests/extension/test_arrow.py b/pandas/tests/extension/test_arrow.py
index 9defb97394635d600d0c7cbd294e38b684a4a674..c6ac6368f2770da0b27bf21b57e8df982b6e6122 100644
--- a/pandas/tests/extension/test_arrow.py
+++ b/pandas/tests/extension/test_arrow.py
@@ -896,9 +896,7 @@ class TestArrowArray(base.ExtensionTests):
)
)
and pa.types.is_duration(pa_dtype)
- or opname in ("__sub__", "__rsub__")
- and pa.types.is_temporal(pa_dtype)
- )
+ ) or (opname in ("__sub__", "__rsub__") and pa.types.is_temporal(pa_dtype))
def _get_expected_exception(
self, op_name: str, obj, other
diff --git a/pandas/tests/extension/test_string.py b/pandas/tests/extension/test_string.py
index 27621193a9b8d6ae139313ec1ec201f5f85eb158..e19351b2ad0584b65a943de06de9bc8c92232085 100644
--- a/pandas/tests/extension/test_string.py
+++ b/pandas/tests/extension/test_string.py
@@ -187,9 +187,8 @@ class TestStringArray(base.ExtensionTests):
return None
def _supports_reduction(self, ser: pd.Series, op_name: str) -> bool:
- return (
- op_name in ["min", "max", "sum"]
- or ser.dtype.na_value is np.nan # type: ignore[union-attr]
+ return op_name in ["min", "max", "sum"] or (
+ ser.dtype.na_value is np.nan # type: ignore[union-attr]
and op_name in ("any", "all")
)
diff --git a/pandas/tests/frame/methods/test_nlargest.py b/pandas/tests/frame/methods/test_nlargest.py
index 52e871cc795b421c0e8fb6565a575631c384f4ef..c6e5304ae3cb400ce979d25fad03801ce410b93b 100644
--- a/pandas/tests/frame/methods/test_nlargest.py
+++ b/pandas/tests/frame/methods/test_nlargest.py
@@ -159,7 +159,7 @@ class TestNLargestNSmallest:
result = df.nlargest(n, order)
expected = df.sort_values(order, ascending=False).head(n)
if Version(np.__version__) >= Version("1.25") and (
- (order == ["a"] and n in (1, 2, 3, 4)) or (order == ["a", "b"]) and n == 5
+ (order == ["a"] and n in (1, 2, 3, 4)) or ((order == ["a", "b"]) and n == 5)
):
request.applymarker(
pytest.mark.xfail(
diff --git a/pandas/tests/test_nanops.py b/pandas/tests/test_nanops.py
index ce41f1e76de7974acc7345326971971c10bfcbe0..e7ed8e855a7625beb025e193be77c51278920826 100644
--- a/pandas/tests/test_nanops.py
+++ b/pandas/tests/test_nanops.py
@@ -537,11 +537,8 @@ class TestnanopsDataFrame:
nullnan = isna(nans)
if res.ndim:
res[nullnan] = -1
- elif (
- hasattr(nullnan, "all")
- and nullnan.all()
- or not hasattr(nullnan, "all")
- and nullnan
+ elif (hasattr(nullnan, "all") and nullnan.all()) or (
+ not hasattr(nullnan, "all") and nullnan
):
res = -1
return res
diff --git a/pandas/tseries/__init__.py b/pandas/tseries/__init__.py
index e361726dc6f80d41cb4975641b44624427b489d6..c00843ecac418a41b01470db93388f6c5568ea6b 100644
--- a/pandas/tseries/__init__.py
+++ b/pandas/tseries/__init__.py
@@ -1,4 +1,4 @@
-# ruff: noqa: TCH004
+# ruff: noqa: TC004
from typing import TYPE_CHECKING
if TYPE_CHECKING:
diff --git a/pandas/tseries/api.py b/pandas/tseries/api.py
index ec2d7d230483947d78f737af42684effa3e60514..5ea899f1610a7ef223f1c069552bedf4c502a8b4 100644
--- a/pandas/tseries/api.py
+++ b/pandas/tseries/api.py
@@ -7,4 +7,4 @@ from pandas._libs.tslibs.parsing import guess_datetime_format
from pandas.tseries import offsets
from pandas.tseries.frequencies import infer_freq
-__all__ = ["infer_freq", "offsets", "guess_datetime_format"]
+__all__ = ["guess_datetime_format", "infer_freq", "offsets"]
diff --git a/pandas/tseries/holiday.py b/pandas/tseries/holiday.py
index bf4ec2e551f01c9aa06b3239858d1534c2f09256..2d195fbbc4e8435e5c7b7037680a4660734610f8 100644
--- a/pandas/tseries/holiday.py
+++ b/pandas/tseries/holiday.py
@@ -636,12 +636,17 @@ def HolidayCalendarFactory(name: str, base, other, base_class=AbstractHolidayCal
__all__ = [
+ "FR",
+ "MO",
+ "SA",
+ "SU",
+ "TH",
+ "TU",
+ "WE",
+ "HolidayCalendarFactory",
"after_nearest_workday",
"before_nearest_workday",
- "FR",
"get_calendar",
- "HolidayCalendarFactory",
- "MO",
"nearest_workday",
"next_monday",
"next_monday_or_tuesday",
@@ -649,11 +654,6 @@ __all__ = [
"previous_friday",
"previous_workday",
"register",
- "SA",
- "SU",
"sunday_to_monday",
- "TH",
- "TU",
- "WE",
"weekend_to_monday",
]
diff --git a/pandas/tseries/offsets.py b/pandas/tseries/offsets.py
index 169c9cc18a7fde6289a112ba5932cbb634eb3714..a065137e6971c3e193b6a1c56c002dc5c5753a83 100644
--- a/pandas/tseries/offsets.py
+++ b/pandas/tseries/offsets.py
@@ -46,46 +46,46 @@ from pandas._libs.tslibs.offsets import (
)
__all__ = [
- "Day",
+ "FY5253",
+ "BDay",
+ "BMonthBegin",
+ "BMonthEnd",
+ "BQuarterBegin",
+ "BQuarterEnd",
+ "BYearBegin",
+ "BYearEnd",
"BaseOffset",
"BusinessDay",
+ "BusinessHour",
"BusinessMonthBegin",
"BusinessMonthEnd",
- "BDay",
+ "CBMonthBegin",
+ "CBMonthEnd",
+ "CDay",
"CustomBusinessDay",
+ "CustomBusinessHour",
"CustomBusinessMonthBegin",
"CustomBusinessMonthEnd",
- "CDay",
- "CBMonthEnd",
- "CBMonthBegin",
+ "DateOffset",
+ "Day",
+ "Easter",
+ "FY5253Quarter",
+ "Hour",
+ "LastWeekOfMonth",
+ "Micro",
+ "Milli",
+ "Minute",
"MonthBegin",
- "BMonthBegin",
"MonthEnd",
- "BMonthEnd",
- "SemiMonthEnd",
- "SemiMonthBegin",
- "BusinessHour",
- "CustomBusinessHour",
- "YearBegin",
- "BYearBegin",
- "YearEnd",
- "BYearEnd",
+ "Nano",
"QuarterBegin",
- "BQuarterBegin",
"QuarterEnd",
- "BQuarterEnd",
- "LastWeekOfMonth",
- "FY5253Quarter",
- "FY5253",
+ "Second",
+ "SemiMonthBegin",
+ "SemiMonthEnd",
+ "Tick",
"Week",
"WeekOfMonth",
- "Easter",
- "Tick",
- "Hour",
- "Minute",
- "Second",
- "Milli",
- "Micro",
- "Nano",
- "DateOffset",
+ "YearBegin",
+ "YearEnd",
]
diff --git a/pandas/util/_decorators.py b/pandas/util/_decorators.py
index 165824bec131f840734e3b4edcd88dc0694cfed8..a1a0d51a7c72b29da0d534cb76109dc1e305f60a 100644
--- a/pandas/util/_decorators.py
+++ b/pandas/util/_decorators.py
@@ -83,7 +83,7 @@ def deprecate(
if alternative.__doc__.count("\n") < 3:
raise AssertionError(doc_error_msg)
empty1, summary, empty2, doc_string = alternative.__doc__.split("\n", 3)
- if empty1 or empty2 and not summary:
+ if empty1 or (empty2 and not summary):
raise AssertionError(doc_error_msg)
wrapper.__doc__ = dedent(
f"""
@@ -497,13 +497,13 @@ def indent(text: str | None, indents: int = 1) -> str:
__all__ = [
"Appender",
+ "Substitution",
"cache_readonly",
"deprecate",
"deprecate_kwarg",
"deprecate_nonkeyword_arguments",
"doc",
"future_version_msg",
- "Substitution",
]
diff --git a/pyproject.toml b/pyproject.toml
index 0c76ecd0b15b4c55b7d366f13550b781c7af1a90..7ab9cd2c176692b5a49fe5d02279df3665b079f0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -304,10 +304,6 @@ ignore = [
"PERF102",
# try-except-in-loop, becomes useless in Python 3.11
"PERF203",
- # pytest-missing-fixture-name-underscore
- "PT004",
- # pytest-incorrect-fixture-name-underscore
- "PT005",
# pytest-parametrize-names-wrong-type
"PT006",
# pytest-parametrize-values-wrong-type
diff --git a/scripts/validate_unwanted_patterns.py b/scripts/validate_unwanted_patterns.py
index 076acc359f9332cb7108421f076ea75ba1952d8d..d804e15f6d48f0afd2960cd858742f54023233fe 100755
--- a/scripts/validate_unwanted_patterns.py
+++ b/scripts/validate_unwanted_patterns.py
@@ -319,10 +319,10 @@ def nodefault_used_not_only_for_typing(file_obj: IO[str]) -> Iterable[tuple[int,
while nodes:
in_annotation, node = nodes.pop()
if not in_annotation and (
- isinstance(node, ast.Name) # Case `NoDefault`
- and node.id == "NoDefault"
- or isinstance(node, ast.Attribute) # Cases e.g. `lib.NoDefault`
- and node.attr == "NoDefault"
+ (isinstance(node, ast.Name) # Case `NoDefault`
+ and node.id == "NoDefault")
+ or (isinstance(node, ast.Attribute) # Cases e.g. `lib.NoDefault`
+ and node.attr == "NoDefault")
):
yield (node.lineno, "NoDefault is used not only for typing")