quantile(q, dim=None, method='linear', keep_attrs=None, skipna=True, interpolation=None)¶
Compute the qth quantile of the data along the specified dimension.
Returns the qth quantiles(s) of the array elements.
"linear") – This optional parameter specifies the interpolation method to use when the desired quantile lies between two data points. The options sorted by their R type as summarized in the H&F paper 1 are:
The first three methods are discontiuous. The following discontinuous variations of the default “linear” (7.) option are also available:
numpy.quantile()or 1 for details. Methods marked with an asterix require numpy version 1.22 or newer. The “method” argument was previously called “interpolation”, renamed in accordance with numpy version 1.22.0.
bool, optional) – If True, the variable’s attributes (attrs) will be copied from the original object to the new one. If False (default), the new object will be returned without attributes.
Variable) – If q is a single quantile, then the result is a scalar. If multiple percentiles are given, first axis of the result corresponds to the quantile and a quantile dimension is added to the return array. The other dimensions are the dimensions that remain after the reduction of the array.