windkit.create_pwc#
- windkit.create_pwc(output_locs, n_sectors=12, not_empty=True, seed=9876538, met_fields=['A_combined', 'k_combined', 'power_density'], site_effects=['site_elev'], include_name=True, **kwargs)[source]#
Empty predicted wind climate with optional variables.
- Parameters:
output_locs (xarray.Dataset) – Output geospatial information
n_sectors (int) – Number of sectors, defaults to 12.
not_empty (bool) – If true, the empty dataset is filled with random meaningful data. Defaults to True.
seed (int) – Seed for the random data, defaults to 9876538.
met_fields (list of str, string) – List of met fields variables to include in the output. If None, nothing is included. Defaults to A_combined, k_combined, power_density
include_site_effects (list of str, str) – List of site factors variables to include in the output. If None, nothing is included. Defaults to site_elev.
include_name (bool) – If true, include a “name” coordinate, which is a string associated with the output’s spatial batch dimension(s) (
point,stacked_point, or the cuboid axes), as it is commonly seen in rsf and wrg files. Defaults to True.kwargs (dict) – Additional arguments.
- Returns:
ds – empty predicted wind climate dataset.
- Return type: