pywatershed.analysis.ProcessPlot#

class pywatershed.analysis.ProcessPlot(gis_dir, hru_shp_file_name='HRU_subset.shp', seg_shp_file_name='Segments_subset.shp')[source]#
__init__(gis_dir, hru_shp_file_name='HRU_subset.shp', seg_shp_file_name='Segments_subset.shp')[source]#

Methods

__init__(gis_dir[, hru_shp_file_name, ...])

get_hru_var(var_name, model)

plot(var_name, process, **kwargs)

plot_hru_var(var_name, process[, data, ...])

plot_seg_var(var_name, process[, cmap, ...])

get_hru_var(var_name, model)[source]#
plot(var_name, process, **kwargs)[source]#
plot_hru_var(var_name, process, data=None, data_units=None, nhm_id=None, clim=None, **kwargs)[source]#
plot_seg_var(var_name, process, cmap=None, value_transform=None, figsize=(7, 10), title=None, aesthetic_width=False, cx_map_source={'attribution': '(C) OpenStreetMap contributors (C) CARTO', 'html_attribution': '&copy; <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors &copy; <a href="https://carto.com/attributions">CARTO</a>', 'max_zoom': 20, 'name': 'CartoDB.Positron', 'subdomains': 'abcd', 'url': 'https://{s}.basemaps.cartocdn.com/{variant}/{z}/{x}/{y}{r}.png', 'variant': 'light_all'}, vmin=None, vmax=None, aesthetic_width_color='darkblue', missing_kwds=None)[source]#