# xarray.Dataset.quantile¶

Dataset.quantile(q, dim=None, interpolation='linear', numeric_only=False, keep_attrs=None)

Compute the qth quantile of the data along the specified dimension.

Returns the qth quantiles(s) of the array elements for each variable in the Dataset.

Parameters: q : float in range of [0,1] (or sequence of floats) Quantile to compute, which must be between 0 and 1 inclusive. dim : str or sequence of str, optional Dimension(s) over which to apply quantile. interpolation : {‘linear’, ‘lower’, ‘higher’, ‘midpoint’, ‘nearest’} This optional parameter specifies the interpolation method to use when the desired quantile lies between two data points i < j: linear: i + (j - i) * fraction, where fraction is the fractional part of the index surrounded by i and j. lower: i. higher: j. nearest: i or j, whichever is nearest. midpoint: (i + j) / 2. keep_attrs : bool, optional If True, the dataset’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. numeric_only : bool, optional If True, only apply func to variables with a numeric dtype. quantiles : Dataset If q is a single quantile, then the result is a scalar for each variable in data_vars. If multiple percentiles are given, first axis of the result corresponds to the quantile and a quantile dimension is added to the return Dataset. The other dimensions are the dimensions that remain after the reduction of the array.