pysteps.postprocessing.probmatching.nonparam_match_empirical_cdf
pysteps.postprocessing.probmatching.nonparam_match_empirical_cdf¶
- pysteps.postprocessing.probmatching.nonparam_match_empirical_cdf(initial_array, target_array)¶
Matches the empirical CDF of the initial array with the empirical CDF of a target array. Initial ranks are conserved, but empirical distribution matches the target one. Zero-pixels (i.e. pixels having the minimum value) in the initial array are conserved.
- Parameters
- initial_array: array_like
The initial array whose CDF is to be matched with the target.
- target_array: array_like
The target array.
- Returns
- output_array: ndarray
The matched array of the same shape as the initial array.