wradlib.classify.ClassifyMethods.classify#
- ClassifyMethods.classify(threshold=0.0)[source]#
Calculate probability of hmc-class for every data bin.
- Parameters:
data (
numpy.ndarray) – Array which is of size (hmc-class, data.shape), containing the weighted hmc-membership probability values.- Keyword Arguments:
threshold (
float) – Threshold value where probability is considered no precip, defaults to 0- Returns:
out (
xarray.DataArray) – DataArray containing probability scores. No precip is added on the top.