quantile_with_mask(values: 'np.ndarray', mask: 'npt.NDArray[np.bool_]', fill_value, qs: 'npt.NDArray[np.float64]', interpolation: 'str') -> 'np.ndarray'
Assumes values is already 2D. For ExtensionArray this means np.atleast_2d has been called on _values_for_factorize()[0]
Quantile is computed along axis=1.
For ExtensionArray, this is _values_for_factorize()[0]
mask = isna(values) For ExtensionArray, this is computed before calling _value_for_factorize
The value to interpret fill NA entries with For ExtensionArray, this is _values_for_factorize()[1]
Type of interpolation
Compute the quantiles of the given values for each quantile in :None:None:`qs`.
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