pandas.core.algorithms.py

from typing import *


@overload
def factorize(values: pandas.core.indexes.numeric.Int64Index, sort: bool):
    """
    usage.xarray: 1
    """
    ...


@overload
def factorize(values: pandas.core.indexes.base.Index, sort: bool):
    """
    usage.xarray: 1
    """
    ...


@overload
def factorize(values: pandas.core.indexes.numeric.Float64Index, sort: bool):
    """
    usage.xarray: 1
    """
    ...


@overload
def factorize(values: pandas.core.indexes.datetimes.DatetimeIndex, sort: bool):
    """
    usage.xarray: 1
    """
    ...


@overload
def factorize(values: geopandas.array.GeometryArray):
    """
    usage.geopandas: 1
    """
    ...


def factorize(
    values: Union[
        geopandas.array.GeometryArray,
        pandas.core.indexes.numeric.Float64Index,
        pandas.core.indexes.numeric.Int64Index,
        pandas.core.indexes.base.Index,
        pandas.core.indexes.datetimes.DatetimeIndex,
    ],
    sort: bool = ...,
):
    """
    usage.geopandas: 1
    usage.xarray: 4
    """
    ...


@overload
def take(
    arr: numpy.ndarray, indices: numpy.ndarray, allow_fill: bool, fill_value: None
):
    """
    usage.geopandas: 1
    """
    ...


@overload
def take(arr: numpy.ndarray, indices: List[int], allow_fill: bool, fill_value: None):
    """
    usage.geopandas: 6
    """
    ...


@overload
def take(
    arr: numpy.ndarray,
    indices: List[int],
    allow_fill: bool,
    fill_value: shapely.geometry.point.Point,
):
    """
    usage.geopandas: 1
    """
    ...


@overload
def take(
    arr: numpy.ndarray,
    indices: numpy.ndarray,
    allow_fill: bool,
    fill_value: shapely.geometry.point.Point,
):
    """
    usage.geopandas: 1
    """
    ...


def take(
    arr: numpy.ndarray,
    indices: Union[numpy.ndarray, List[int]],
    allow_fill: bool,
    fill_value: Union[shapely.geometry.point.Point, None],
):
    """
    usage.geopandas: 9
    """
    ...


@overload
def unique(values: List[Literal["time"]]):
    """
    usage.xarray: 2
    """
    ...


@overload
def unique(values: List[Literal["time", "lon", "lat"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["x"]]):
    """
    usage.xarray: 5
    """
    ...


@overload
def unique(values: List[Literal["x", "t"]]):
    """
    usage.xarray: 2
    """
    ...


@overload
def unique(values: List[Literal["t"]]):
    """
    usage.xarray: 3
    """
    ...


@overload
def unique(values: List[Literal["y", "x"]]):
    """
    usage.seaborn: 1
    usage.xarray: 4
    """
    ...


@overload
def unique(values: List[Literal["DATE-TIME", "VAR", "TSTEP"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["COL", "ROW", "LAY", "TSTEP"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["dim2", "dim1"]]):
    """
    usage.xarray: 5
    """
    ...


@overload
def unique(values: List[Literal["dim1", "dim3"]]):
    """
    usage.xarray: 4
    """
    ...


@overload
def unique(values: List[Literal["a"]]):
    """
    usage.xarray: 2
    """
    ...


@overload
def unique(values: list):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["z"]]):
    """
    usage.xarray: 2
    """
    ...


@overload
def unique(values: List[Literal["dim2"]]):
    """
    usage.xarray: 4
    """
    ...


@overload
def unique(values: List[Literal["y"]]):
    """
    usage.xarray: 5
    """
    ...


@overload
def unique(values: List[Literal["x", "y"]]):
    """
    usage.xarray: 3
    """
    ...


@overload
def unique(values: List[Literal["sign", "y", "x"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["z", "q"]]):
    """
    usage.xarray: 2
    """
    ...


@overload
def unique(values: List[Literal["dim1", "dim2"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["dim4"]]):
    """
    usage.xarray: 2
    """
    ...


@overload
def unique(values: List[Literal["y", "x", "variable"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["y", "a"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["b"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["x", "b"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["stacked_ny_nx"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["stacked_ny_nx", "time"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["features"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["features", "x"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["dim1"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["dim3", "dim1"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["dim3"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["space"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["quantile"]]):
    """
    usage.xarray: 3
    """
    ...


@overload
def unique(values: List[Literal["stacked_lat_lon", "time"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["stacked_lat_lon"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["time", "id"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["id"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["z", "x"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["z", "y"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["y", "z", "x"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: List[Literal["z", "quantile"]]):
    """
    usage.xarray: 1
    """
    ...


@overload
def unique(values: pandas.core.series.Series):
    """
    usage.statsmodels: 1
    """
    ...


@overload
def unique(values: numpy.ndarray):
    """
    usage.seaborn: 3
    """
    ...


@overload
def unique(values: List[Literal["b", "a"]]):
    """
    usage.seaborn: 2
    """
    ...


@overload
def unique(values: List[Literal["m", "n"]]):
    """
    usage.seaborn: 1
    """
    ...


@overload
def unique(values: List[Literal["d", "c", "b", "a"]]):
    """
    usage.seaborn: 1
    """
    ...


@overload
def unique(values: List[pandas._libs.tslibs.timestamps.Timestamp]):
    """
    usage.seaborn: 1
    """
    ...


@overload
def unique(values: List[Literal["d", "a", "b", "c"]]):
    """
    usage.seaborn: 1
    """
    ...


@overload
def unique(values: List[int]):
    """
    usage.seaborn: 1
    """
    ...


@overload
def unique(values: List[Union[Literal["d", "a", "b", "c"], float]]):
    """
    usage.seaborn: 1
    """
    ...


def unique(
    values: Union[
        numpy.ndarray,
        pandas.core.series.Series,
        List[Union[str, float, int, pandas._libs.tslibs.timestamps.Timestamp]],
    ]
):
    """
    usage.seaborn: 12
    usage.statsmodels: 1
    usage.xarray: 74
    """
    ...