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TYP: Index methods #43137

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Merged
merged 1 commit into from
Aug 21, 2021
Merged

TYP: Index methods #43137

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1 change: 1 addition & 0 deletions pandas/core/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -787,6 +787,7 @@ def _reduce(
)
return func(skipna=skipna, **kwds)

@final
def _map_values(self, mapper, na_action=None):
"""
An internal function that maps values using the input
Expand Down
14 changes: 7 additions & 7 deletions pandas/core/indexes/base.py
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Expand Up @@ -3607,7 +3607,7 @@ def _get_indexer(
method: str_t | None = None,
limit: int | None = None,
tolerance=None,
) -> np.ndarray:
) -> npt.NDArray[np.intp]:
if tolerance is not None:
tolerance = self._convert_tolerance(tolerance, target)

Expand Down Expand Up @@ -3686,7 +3686,7 @@ def _convert_tolerance(self, tolerance, target: np.ndarray | Index) -> np.ndarra
@final
def _get_fill_indexer(
self, target: Index, method: str_t, limit: int | None = None, tolerance=None
) -> np.ndarray:
) -> npt.NDArray[np.intp]:

if self._is_multi:
# TODO: get_indexer_with_fill docstring says values must be _sorted_
Expand All @@ -3713,7 +3713,7 @@ def _get_fill_indexer(
@final
def _get_fill_indexer_searchsorted(
self, target: Index, method: str_t, limit: int | None = None
) -> np.ndarray:
) -> npt.NDArray[np.intp]:
"""
Fallback pad/backfill get_indexer that works for monotonic decreasing
indexes and non-monotonic targets.
Expand Down Expand Up @@ -3747,7 +3747,7 @@ def _get_fill_indexer_searchsorted(
@final
def _get_nearest_indexer(
self, target: Index, limit: int | None, tolerance
) -> np.ndarray:
) -> npt.NDArray[np.intp]:
"""
Get the indexer for the nearest index labels; requires an index with
values that can be subtracted from each other (e.g., not strings or
Expand Down Expand Up @@ -3777,10 +3777,10 @@ def _get_nearest_indexer(
@final
def _filter_indexer_tolerance(
self,
target: Index | np.ndarray | ExtensionArray,
indexer: np.ndarray,
target: np.ndarray,
indexer: npt.NDArray[np.intp],
tolerance,
) -> np.ndarray:
) -> npt.NDArray[np.intp]:
own_values = self._get_engine_target()
distance = abs(own_values[indexer] - target)
return np.where(distance <= tolerance, indexer, -1)
Expand Down