wradlib.classify.classify#
- wradlib.classify.classify(data, *, threshold=0.0)[source]#
- wradlib.classify.classify(data: DataArray, threshold=0.0)
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.threshold (
float, optional) – Threshold value where probability is considered no precip, defaults to 0.
- Returns:
idx (
numpy.ndarray) – Array which is of (data.shape) containing the (sorted) index into the hydrometeor-class. No precip is added on the top.vals (
numpy.ndarray) – Array which is of (data.shape) containing the (sorted) probability scores. No precip is added on the top.