pyrad.proc.process_grid_time_stats#

pyrad.proc.process_grid_time_stats(procstatus, dscfg, radar_list=None)[source]#

computes the temporal statistics of a field

Parameters:

procstatus (int) – Processing status: 0 initializing, 1 processing volume, 2 post-processing

dscfg (dictionary of dictionaries) –

data set configuration. Accepted Configuration Keywords:

datatype : list of string. Dataset keyword
    The input data types, can be any datatype supported by pyrad
period : float. Dataset keyword
    the period to average [s]. If -1 the statistics are going to be
    performed over the entire data. Default 3600.
start_average : float. Dataset keyword
    when to start the average [s from midnight UTC]. Default 0.
lin_trans: int. Dataset keyword
    If 1 apply linear transformation before averaging
use_nan : bool. Dataset keyword
    If true non valid data will be used
nan_value : float. Dataset keyword
    The value of the non valid data. Default 0
stat: string. Dataset keyword
    Statistic to compute: Can be mean, std, cov, min, max. Default
    mean

radar_list (list of Radar objects) – Optional. list of radar objects

Returns:

new_dataset (dict) – dictionary containing the output fields corresponding to datatypes
ind_rad (int) – radar index