NDVar.quantile(q=0.5, axis=None, interpolation='linear', **regions)

The value such that q of the NDVar’s values are lower

(See func:numpy.quantile)

  • axis (Union[None, str, Sequence[str], NDVar]) – Dimensions over which to operate. A str is used to specify a single dimension, a tuple of str to specify several dimensions, None to compute the maximum over all dimensions. An boolean NDVar with the same dimensions as the data can be used to compute the maximum in specific elements (if the data has a case dimension, the maximum is computed for each case).

  • q (float) – Quantile to compute, between 0 and 1 inclusive.

  • interpolation (str) – See func:numpy.quantile.

  • **regions – Regions over which to aggregate. For example, to get the maximum between time=0.1 and time=0.2, use ndvar.max(time=(0.1, 0.2)).

  • name (str) – Name of the output NDVar (default is the current name).

Return type

Union[NDVar, Var, float]