wradlib.adjust.AdjustNone#
- class wradlib.adjust.AdjustNone(obs_coords, raw_coords, nnear_raws=9, stat='median', mingages=5, minval=0.0, mfb_args=None, ipclass=<class 'wradlib.ipol.Idw'>, **ipargs)[source]#
Same behaviour as the other adjustment classes, but simply returns the unadjusted data.
This class can be used for benchmark verification experiments as a control for unadjusted data.
Note
Inherits from
wradlib.adjust.AdjustBase
For a complete overview of parameters for the initialisation of adjustment objects, as well as an extensive example, please see
wradlib.adjust.AdjustBase
.- Returns:
output (
numpy.ndarray
) – array of unadjusted radar values
- __init__(obs_coords, raw_coords, nnear_raws=9, stat='median', mingages=5, minval=0.0, mfb_args=None, ipclass=<class 'wradlib.ipol.Idw'>, **ipargs)#
Methods
__init__
(obs_coords, raw_coords[, ...])xvalidate
(obs, raw)Leave-One-Out Cross Validation, applicable to all gage adjustment classes.