Plotting gridded forecast
This example show you how to load a gridded forecast stored in the default ASCII format.
Load required libraries
Most of the core functionality can be imported from the top-level
csep package. Utilities are available from the
import csep from csep.utils import datasets, time_utils
Define forecast properties
We choose a Time-independent Forecast to show how to evaluate a grid-based earthquake forecast using PyCSEP. Note, the start and end date should be chosen based on the creation of the forecast. This is important for time-independent forecasts because they can be rescale to any arbitrary time period.
For this example, we provide the example forecast data set along with the main repository. The filepath is relative to the root directory of the package. You can specify any file location for your forecasts.
The forecast object provides
csep.core.forecasts.GriddedForecast.plot() to plot a gridded forecast. This function
returns a matplotlib axes, so more specific attributes can be set on the figure.
ax = forecast.plot(show=True)
Total running time of the script: (0 minutes 1.250 seconds)