pysteps.utils.dimension.aggregate_fields_time#
- pysteps.utils.dimension.aggregate_fields_time(R, metadata, time_window_min, ignore_nan=False)#
Aggregate fields in time.
- Parameters:
R (array-like) – Array of shape (t,m,n) or (l,t,m,n) containing a time series of (ensemble) input fields. They must be evenly spaced in time.
metadata (dict) – Metadata dictionary containing the timestamps and unit attributes as described in the documentation of
pysteps.io.importers.time_window_min (float or None) – The length in minutes of the time window that is used to aggregate the fields. The time spanned by the t dimension of R must be a multiple of time_window_min. If set to None, it returns a copy of the original R and metadata.
ignore_nan (bool, optional) – If True, ignore nan values.
- Returns:
outputarray (array-like) – The new array of aggregated fields of shape (k,m,n) or (l,k,m,n), where k = t*delta/time_window_min and delta is the time interval between two successive timestamps.
metadata (dict) – The metadata with updated attributes.