By providing useful tools to earthquake forecast modelers and facilitating an open‐source software community, we hope to broaden the impact of the CSEP and further promote earthquake forecasting research. We recommend that interested readers work through the reproducibility package alongside this article. To showcase how p圜SEP can be used to evaluate earthquake forecasts, we have provided a reproducibility package that contains all the components required to re‐create the figures published in this article. Most significantly, p圜SEP contains several statistical tests needed to evaluate earthquake forecasts, which can be forecasts expressed as expected earthquake rates in space–magnitude bins or specified as large sets of simulated catalogs (which includes candidate models for governmental operational earthquake forecasting). The code defining the figure mimics a hierarchical structure typical of most figures: A figure contains multiple panels these panels can in turn contain several graphical elements such as text, markers or other (sub-)panels. p圜SEP is a Python package that contains the following modules: (1) earthquake catalog access and processing, (2) representations of probabilistic earthquake forecasts, (3) statistical tests for evaluating earthquake forecasts, and (4) visualization routines and various other utilities. To access this import matplotlib as follows. p圜SEP supports this mission by providing open‐source implementations of useful tools for evaluating earthquake forecasts. Matplotlib keeps a global reference to the global figure and axes objects which can be modified by the pyplot API. We can see how this works by assigning the function to a variable and checking its type. The Collaboratory for the Study of Earthquake Predictability (CSEP) is an open and global community whose mission is to accelerate earthquake predictability research through rigorous testing of probabilistic earthquake forecast models and prediction algorithms. The way that this works, is that Python actually turns the values (separated by commas) into a tuple.
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