`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