`numpy.lib._function_base_impl:_quantile`

source: /numpy/lib/_function_base_impl.py:4714

Signature

def _quantile(arr: np.typing.ArrayLike, quantiles: np.ndarray, axis: int = -1, method: str = linear, out: np.ndarray | None = None, weights: np.typing.ArrayLike | None = None, weak_q: bool = False) → np.ndarray

Summary

Private function that doesn't support extended axis or keepdims. These methods are extended to this function using _ureduce See nanpercentile for parameter usage It computes the quantiles of the array for the given axis. A linear interpolation is performed based on the method.

Extended Summary

By default, the method is "linear" where alpha == beta == 1 which performs the 7th method of Hyndman&Fan. With "median_unbiased" we get alpha == beta == 1/3 thus the 8th method of Hyndman&Fan.

Aliases

numpy.lib._function_base_impl._quantile