pandas 1.4.2

ParametersReturns
_nanpercentile_1d(values: 'np.ndarray', mask: 'npt.NDArray[np.bool_]', qs: 'npt.NDArray[np.float64]', na_value: 'Scalar', interpolation) -> 'Scalar | np.ndarray'

Parameters

values : array over which to find quantiles
mask : ndarray[bool]

locations in values that should be considered missing

qs : np.ndarray[float64] of quantile indices to find
na_value : scalar

value to return for empty or all-null values

interpolation : str

Returns

quantiles : scalar or array

Wrapper for np.percentile that skips missing values, specialized to 1-dimensional case.

Examples

See :

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File: /pandas/core/array_algos/quantile.py#102
type: <class 'function'>
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