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_quantile(arr: <built-in function array>, quantiles: <built-in function array>, axis: int = -1, method='linear', out=None)

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.

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 :None:None:`interpolation`.

Examples

See :

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GitHub : /numpy/lib/function_base.py#4595
type: <class 'function'>
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