Delete undocumented functions

pandas-stubs/_libs/ops_dispatch.pyi

@@ -1,5 +1,3 @@
 DISPATCHED_UFUNCS = ...
 REVERSED_NAMES = ...
 UFUNC_ALIASES = ...
-
-def maybe_dispatch_ufunc_to_dunder_op(*args, **kwargs): ...

pandas-stubs/_libs/tslibs/conversion.pyi

@@ -1,5 +1 @@
-from datetime import datetime
-
-def localize_pydatetime(dt: datetime, tz: object) -> datetime: ...
-
 class OutOfBoundsTimedelta(ValueError): ...

pandas-stubs/_libs/tslibs/parsing.pyi

@@ -1,6 +1,2 @@
-from typing import Any
-
-def parse_time_string(*args, **kwargs) -> Any: ...
-
 class DateParseError(ValueError):
     def __init__(self, *args, **kwargs) -> None: ...

pandas-stubs/_version.pyi

@@ -2,6 +2,4 @@ from typing import Literal
 
 version_json: str = ...
 
-def get_versions(): ...
-
 _stub_version: Literal["2.2.3.250527"]

pandas-stubs/api/types/__init__.pyi

@@ -2,7 +2,6 @@ from pandas._libs.lib import infer_dtype as infer_dtype
 
 from pandas.core.dtypes.api import (
     is_any_real_numeric_dtype as is_any_real_numeric_dtype,
-    is_array_like as is_array_like,
     is_bool as is_bool,
     is_bool_dtype as is_bool_dtype,
     is_complex as is_complex,

pandas-stubs/core/arraylike.pyi

@@ -2,10 +2,6 @@ from typing import Any
 
 from typing_extensions import Self
 
-from pandas._libs.ops_dispatch import (
-    maybe_dispatch_ufunc_to_dunder_op as maybe_dispatch_ufunc_to_dunder_op,
-)
-
 class OpsMixin:
     def __eq__(self, other: object) -> Self: ...  # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride]
     def __ne__(self, other: object) -> Self: ...  # type: ignore[override] # pyright: ignore[reportIncompatibleMethodOverride]

pandas-stubs/core/arrays/arrow/dtype.pyi

@@ -1,11 +1,11 @@
-import pyarrow as pa
-
-from pandas._libs.missing import NAType
-
-from pandas.core.dtypes.base import StorageExtensionDtype
-
-class ArrowDtype(StorageExtensionDtype):
-    pyarrow_dtype: pa.DataType
-    def __init__(self, pyarrow_dtype: pa.DataType) -> None: ...
-    @property
-    def na_value(self) -> NAType: ...
+import pyarrow as pa
+
+from pandas._libs.missing import NAType
+
+from pandas.core.dtypes.base import StorageExtensionDtype
+
+class ArrowDtype(StorageExtensionDtype):
+    pyarrow_dtype: pa.DataType
+    def __init__(self, pyarrow_dtype: pa.DataType) -> None: ...
+    @property
+    def na_value(self) -> NAType: ...

pandas-stubs/core/arrays/boolean.pyi

@@ -12,8 +12,6 @@ class BooleanDtype(ExtensionDtype):
     @classmethod
     def construct_array_type(cls) -> type_t[BooleanArray]: ...
 
-def coerce_to_array(values, mask=..., copy: bool = ...): ...
-
 class BooleanArray(BaseMaskedArray):
     def __init__(
         self, values: np.ndarray, mask: np.ndarray, copy: bool = ...

pandas-stubs/core/arrays/categorical.pyi

@@ -157,6 +157,3 @@ class CategoricalAccessor(PandasDelegate, NoNewAttributesMixin):
     ) -> Series: ...
     def as_ordered(self) -> Series: ...
     def as_unordered(self) -> Series: ...
-
-def factorize_from_iterable(values): ...
-def factorize_from_iterables(iterables): ...

pandas-stubs/core/arrays/datetimelike.pyi

@@ -103,5 +103,3 @@ class DatetimeLikeArrayMixin(ExtensionOpsMixin, ExtensionArray):
     def min(self, *, axis=..., skipna: bool = ..., **kwargs): ...
     def max(self, *, axis=..., skipna: bool = ..., **kwargs): ...
     def mean(self, *, skipna: bool = ...): ...
-
-def maybe_infer_freq(freq): ...

pandas-stubs/core/arrays/datetimes.pyi

@@ -15,8 +15,6 @@ from pandas._typing import (
 
 from pandas.core.dtypes.dtypes import DatetimeTZDtype as DatetimeTZDtype
 
-def tz_to_dtype(tz): ...
-
 class DatetimeArray(DatetimeLikeArrayMixin, TimelikeOps, DatelikeOps):
     __array_priority__: int = ...
     def __init__(self, values, dtype=..., freq=..., copy: bool = ...) -> None: ...
@@ -85,5 +83,3 @@ def objects_to_datetime64ns(
     require_iso8601: bool = ...,
     allow_object: bool = ...,
 ): ...
-def maybe_convert_dtype(data, copy): ...
-def validate_tz_from_dtype(dtype, tz): ...

pandas-stubs/core/arrays/timedeltas.pyi

@@ -63,7 +63,3 @@ class TimedeltaArray(DatetimeLikeArrayMixin, TimelikeOps):
     nanoseconds: int = ...
     @property
     def components(self) -> int: ...
-
-def sequence_to_td64ns(data, copy: bool = ..., unit: str = ..., errors: str = ...): ...
-def ints_to_td64ns(data, unit: str = ...): ...
-def objects_to_td64ns(data, unit: str = ..., errors: str = ...): ...

pandas-stubs/core/common.pyi

@@ -1,30 +1,3 @@
-from collections.abc import (
-    Collection,
-    Iterable,
-)
-
-from pandas._typing import T
-
 def flatten(line) -> None: ...
-def consensus_name_attr(objs): ...
-def is_bool_indexer(key) -> bool: ...
-def cast_scalar_indexer(val): ...
-def not_none(*args): ...
-def any_none(*args): ...
-def all_none(*args): ...
-def any_not_none(*args): ...
-def all_not_none(*args): ...
-def count_not_none(*args): ...
-def asarray_tuplesafe(values, dtype=...): ...
-def index_labels_to_array(labels, dtype=...): ...
-def maybe_make_list(obj): ...
-def maybe_iterable_to_list(obj: Iterable[T] | T) -> Collection[T] | T: ...
-def is_null_slice(obj): ...
-def is_true_slices(line): ...
-def is_full_slice(obj, line): ...
-def get_callable_name(obj): ...
-def apply_if_callable(maybe_callable, obj, **kwargs): ...
-def standardize_mapping(into): ...
 def random_state(state=...): ...
 def pipe(obj, func, *args, **kwargs): ...
-def get_rename_function(mapper): ...

pandas-stubs/core/computation/expr.pyi

@@ -6,7 +6,6 @@ from pandas.core.computation.scope import Scope as Scope
 intersection = ...
 
 def disallow(nodes): ...
-def add_ops(op_classes): ...
 
 class BaseExprVisitor(ast.NodeVisitor):
     const_type = ...

pandas-stubs/core/computation/expressions.pyi

@@ -1,6 +1,2 @@
-def set_use_numexpr(v: bool = ...) -> None: ...
-def set_numexpr_threads(n=...) -> None: ...
 def evaluate(op, a, b, use_numexpr: bool = ...): ...
 def where(cond, a, b, use_numexpr: bool = ...): ...
-def set_test_mode(v: bool = ...) -> None: ...
-def get_test_result(): ...

pandas-stubs/core/computation/ops.pyi

@@ -54,8 +54,6 @@ class Op:
     @property
     def is_datetime(self) -> bool: ...
 
-def is_term(obj) -> bool: ...
-
 class BinOp(Op):
     lhs = ...
     rhs = ...

pandas-stubs/core/computation/parsing.pyi

@@ -1,12 +1 @@
-from collections.abc import Iterator
-import tokenize
-
 BACKTICK_QUOTED_STRING: int
-
-def create_valid_python_identifier(name: str) -> str: ...
-def clean_backtick_quoted_toks(tok: tuple[int, str]) -> tuple[int, str]: ...
-def clean_column_name(name: str) -> str: ...
-def tokenize_backtick_quoted_string(
-    token_generator: Iterator[tokenize.TokenInfo], source: str, string_start: int
-) -> tuple[int, str]: ...
-def tokenize_string(source: str) -> Iterator[tuple[int, str]]: ...

pandas-stubs/core/computation/pytables.pyi

@@ -106,5 +106,3 @@ class TermValue:
     kind = ...
     def __init__(self, value, converted, kind: str) -> None: ...
     def tostring(self, encoding) -> str: ...
-
-def maybe_expression(s) -> bool: ...

pandas-stubs/core/computation/scope.pyi

@@ -1,7 +1,3 @@
-def ensure_scope(
-    level: int, global_dict=..., local_dict=..., resolvers=..., target=..., **kwargs
-) -> Scope: ...
-
 class Scope:
     level = ...
     scope = ...

pandas-stubs/core/config_init.pyi

@@ -2,12 +2,8 @@ from typing import Literal
 
 use_bottleneck_doc: str = ...
 
-def use_bottleneck_cb(key) -> None: ...
-
 use_numexpr_doc: str = ...
 
-def use_numexpr_cb(key) -> None: ...
-
 pc_precision_doc: str = ...
 pc_colspace_doc: str = ...
 pc_max_rows_doc: str = ...
@@ -41,24 +37,15 @@ pc_latex_multicolumn: str = ...
 pc_latex_multicolumn_format: str = ...
 pc_latex_multirow: str = ...
 
-def table_schema_cb(key) -> None: ...
-def is_terminal() -> bool: ...
-
 max_cols: int = ...
 tc_sim_interactive_doc: str = ...
 use_inf_as_null_doc: str = ...
 use_inf_as_na_doc: str = ...
 
-def use_inf_as_na_cb(key) -> None: ...
-
 chained_assignment: Literal["warn", "raise"] | None
 reader_engine_doc: str = ...
 writer_engine_doc: str = ...
 parquet_engine_doc: str = ...
 plotting_backend_doc: str = ...
 
-def register_plotting_backend_cb(key) -> None: ...
-
 register_converter_doc: str = ...
-
-def register_converter_cb(key) -> None: ...

pandas-stubs/core/construction.pyi

@@ -10,8 +10,3 @@ def array(
     dtype: str | np.dtype | ExtensionDtype | None = ...,
     copy: bool = ...,
 ) -> ExtensionArray: ...
-def extract_array(obj, extract_numpy: bool = ...): ...
-def sanitize_array(
-    data, index, dtype=..., copy: bool = ..., raise_cast_failure: bool = ...
-): ...
-def is_empty_data(data) -> bool: ...

pandas-stubs/core/dtypes/api.pyi

@@ -1,6 +1,5 @@
 from pandas.core.dtypes.common import (
     is_any_real_numeric_dtype as is_any_real_numeric_dtype,
-    is_array_like as is_array_like,
     is_bool as is_bool,
     is_bool_dtype as is_bool_dtype,
     is_complex as is_complex,

pandas-stubs/core/dtypes/common.pyi

@@ -10,7 +10,6 @@ from pandas._typing import (
 )
 
 from pandas.core.dtypes.inference import (
-    is_array_like as is_array_like,
     is_bool as is_bool,
     is_complex as is_complex,
     is_dict_like as is_dict_like,

pandas-stubs/core/dtypes/inference.pyi

@@ -1,18 +1,17 @@
-from pandas._libs import lib
-
-is_bool = lib.is_bool
-is_integer = lib.is_integer
-is_float = lib.is_float
-is_complex = lib.is_complex
-is_scalar = lib.is_scalar
-is_list_like = lib.is_list_like
-is_iterator = lib.is_iterator
-
-def is_number(obj: object) -> bool: ...
-def is_file_like(obj: object) -> bool: ...
-def is_re(obj: object) -> bool: ...
-def is_array_like(obj: object) -> bool: ...
-def is_re_compilable(obj: object) -> bool: ...
-def is_dict_like(obj: object) -> bool: ...
-def is_named_tuple(obj: object) -> bool: ...
-def is_hashable(obj: object) -> bool: ...
+from pandas._libs import lib
+
+is_bool = lib.is_bool
+is_integer = lib.is_integer
+is_float = lib.is_float
+is_complex = lib.is_complex
+is_scalar = lib.is_scalar
+is_list_like = lib.is_list_like
+is_iterator = lib.is_iterator
+
+def is_number(obj: object) -> bool: ...
+def is_file_like(obj: object) -> bool: ...
+def is_re(obj: object) -> bool: ...
+def is_re_compilable(obj: object) -> bool: ...
+def is_dict_like(obj: object) -> bool: ...
+def is_named_tuple(obj: object) -> bool: ...
+def is_hashable(obj: object) -> bool: ...

pandas-stubs/core/indexers.pyi

@@ -1,13 +1,6 @@
 import numpy as np
 
-def is_list_like_indexer(key) -> bool: ...
-def is_scalar_indexer(indexer, arr_value) -> bool: ...
-def is_empty_indexer(indexer, arr_value: np.ndarray) -> bool: ...
-def check_setitem_lengths(indexer, value, values) -> None: ...
-def validate_indices(indices: np.ndarray, n: int) -> None: ...
-def maybe_convert_indices(indices, n: int): ...
 def length_of_indexer(indexer, target=...) -> int: ...
-def deprecate_ndim_indexing(result) -> None: ...
 def check_array_indexer(arrayArrayLike, indexer): ...
 
 class BaseIndexer:

pandas-stubs/core/indexes/api.pyi

@@ -6,9 +6,3 @@ from pandas.core.indexes.multi import MultiIndex as MultiIndex
 from pandas.core.indexes.period import PeriodIndex as PeriodIndex
 from pandas.core.indexes.range import RangeIndex as RangeIndex
 from pandas.core.indexes.timedeltas import TimedeltaIndex as TimedeltaIndex
-
-def get_objs_combined_axis(
-    objs, intersect: bool = ..., axis=..., sort: bool = ...
-) -> Index: ...
-def union_indexes(indexes, sort=...) -> Index: ...
-def all_indexes_same(indexes): ...

pandas-stubs/core/indexes/base.pyi

@@ -46,7 +46,6 @@ from pandas._typing import (
     AnyAll,
     AxesData,
     DropKeep,
-    Dtype,
     DtypeArg,
     DtypeObj,
     FillnaOptions,
@@ -476,8 +475,4 @@ class Index(IndexOpsMixin[S1]):
 
 UnknownIndex: TypeAlias = Index[Any]
 
-def ensure_index_from_sequences(
-    sequences: Sequence[Sequence[Dtype]], names: list[_str] = ...
-) -> Index: ...
 def ensure_index(index_like: Sequence | Index, copy: bool = ...) -> Index: ...
-def maybe_extract_name(name, obj, cls) -> Label: ...

pandas-stubs/core/indexes/multi.pyi

@@ -162,5 +162,3 @@ class MultiIndex(Index):
     def insert(self, loc, item): ...
     def delete(self, loc): ...
     def isin(self, values, level=...) -> np_ndarray_bool: ...
-
-def maybe_droplevels(index, key): ...

pandas-stubs/core/indexing.pyi

@@ -1,6 +1,5 @@
 from typing import TypeVar
 
-import numpy as np
 from pandas.core.indexes.api import Index
 from typing_extensions import TypeAlias
 
@@ -52,12 +51,3 @@ class _ScalarAccessIndexer(_NDFrameIndexerBase):
 
 class _AtIndexer(_ScalarAccessIndexer): ...
 class _iAtIndexer(_ScalarAccessIndexer): ...
-
-def convert_to_index_sliceable(obj, key): ...
-def check_bool_indexer(index: Index, key) -> np.ndarray: ...
-def convert_missing_indexer(indexer): ...
-def convert_from_missing_indexer_tuple(indexer, axes): ...
-def maybe_convert_ix(*args): ...
-def is_nested_tuple(tup, labels) -> bool: ...
-def is_label_like(key) -> bool: ...
-def need_slice(obj) -> bool: ...

pandas-stubs/core/ops/__init__.pyi

@@ -1,7 +1,2 @@
-from typing import Any
-
 ARITHMETIC_BINOPS: set[str] = ...
 COMPARISON_BINOPS: set[str] = ...
-
-def get_op_result_name(left: Any, right: Any): ...
-def fill_binop(left: Any, right: Any, fill_value: Any): ...

pandas-stubs/core/ops/array_ops.pyi

@@ -6,8 +6,3 @@ def arithmetic_op(left: np.ndarray | ABCExtensionArray, right, op, str_rep: str)
 def comparison_op(
     left: np.ndarray | ABCExtensionArray, right, op
 ) -> np.ndarray | ABCExtensionArray: ...
-def na_logical_op(x: np.ndarray, y, op): ...
-def logical_op(
-    left: np.ndarray | ABCExtensionArray, right, op
-) -> np.ndarray | ABCExtensionArray: ...
-def get_array_op(op, str_rep: str | None = ...): ...