csep.core.forecasts.GriddedForecast.plot

GriddedForecast.plot(ax=None, show=False, log=True, extent=None, set_global=False, plot_args=None, **kwargs)[source]

Plot the spatial rate of the forecast

See csep.utils.plots.plot_gridded_dataset() for a detailed description of the keyword arguments.

Parameters:

  • ax (matplotlib.pyplot.axes) – Previous axes onto which catalog can be drawn

  • show (bool) – If True, shows the figure.

  • log (bool) – If True, plots the base-10 logarithm of the spatial rates

  • extent (list) – Force an extent [lon_min, lon_max, lat_min, lat_max]

  • set_global (bool) – Whether to plot using a global projection

  • **kwargs (dict) – Keyword arguments passed to csep.utils.plots.plot_gridded_dataset()

Returns:

matplotlib.Axes.axes

Return type:

axes