From 7722eb5a1d9f83578f1d65e2e086d9af68cfa270 Mon Sep 17 00:00:00 2001 From: Biondini Date: Thu, 2 May 2024 02:55:41 +0200 Subject: [PATCH] Upgrade ROC diagram and new plots Molchan and ROC diagrams. --- csep/utils/plots.py | 20 +- examples/tutorials/contingency_roc_figure.pdf | Bin 16510 -> 14833 bytes examples/tutorials/contingency_roc_figure.png | Bin 44270 -> 46639 bytes examples/tutorials/example_spatial_test.json | 2002 ++++++++--------- .../tutorials/gridded_forecast_evaluation.py | 18 +- examples/tutorials/molchan_figure.pdf | Bin 15982 -> 15982 bytes examples/tutorials/roc_figure.pdf | Bin 17866 -> 15926 bytes examples/tutorials/roc_figure.png | Bin 64202 -> 64894 bytes 8 files changed, 1026 insertions(+), 1014 deletions(-) diff --git a/csep/utils/plots.py b/csep/utils/plots.py index b2192b6f..78ef1f24 100644 --- a/csep/utils/plots.py +++ b/csep/utils/plots.py @@ -2132,7 +2132,7 @@ def plot_pvalues_and_intervals(test_results, ax, var=None): return ax -def plot_ROC(forecast, catalog, axes=None, plot_uniform=True, savepdf=True, +def plot_concentration_ROC_diagram(forecast, catalog, linear=True, axes=None, plot_uniform=True, savepdf=True, savepng=True, show=True, plot_args=None): """ @@ -2155,6 +2155,7 @@ def plot_ROC(forecast, catalog, axes=None, plot_uniform=True, savepdf=True, Args: forecast (:class: `csep.forecast.GriddedForecast`): catalog (:class:`AbstractBaseCatalog`): evaluation catalog + linear: (bool): if true, a linear x-axis is used; if false a logarithmic x-axis is used. axes (:class:`matplotlib.pyplot.ax`): Previously defined ax object savepdf (str): output option of pdf file savepng (str): output option of png file @@ -2184,6 +2185,7 @@ def plot_ROC(forecast, catalog, axes=None, plot_uniform=True, savepdf=True, RuntimeError: throws error if Catalog and Forecast do not have the same region Written by Han Bao, UCLA, March 2021. Modified June 2021. + Modified by Emanuele Biondini, University of Bologna, May 2024. """ if not catalog.region == forecast.region: raise RuntimeError( @@ -2201,7 +2203,7 @@ def plot_ROC(forecast, catalog, axes=None, plot_uniform=True, savepdf=True, title_fontsize = plot_args.get('title_fontsize', 18) label_fontsize = plot_args.get('label_fontsize', 14) filename = plot_args.get('filename', 'roc_figure') - title = plot_args.get('title', 'ROC Curve') + title = plot_args.get('title', 'Concentration ROC Curve') # Plot catalog ordered by forecast rates name = forecast.name @@ -2259,7 +2261,11 @@ def plot_ROC(forecast, catalog, axes=None, plot_uniform=True, savepdf=True, ax.set_ylabel("True Positive Rate", fontsize=label_fontsize) ax.set_xlabel('False Positive Rate (Normalized Area)', fontsize=label_fontsize) - ax.set_xscale('log') + if linear==True: + legend_loc=plot_args.get('legend_loc', 'lower right') + elif linear==False: + ax.set_xscale('log') + ax.legend(loc=legend_loc, shadow=True, fontsize=legend_fontsize) ax.set_title(title, fontsize=title_fontsize) @@ -2276,7 +2282,7 @@ def plot_ROC(forecast, catalog, axes=None, plot_uniform=True, savepdf=True, return ax -def plot_contingency_ROC(forecast, catalog, linear=False, axes=None, plot_uniform=True, savepdf=True, savepng=True, show=True, +def plot_ROC_diagram(forecast, catalog, linear=True, axes=None, plot_uniform=True, savepdf=True, savepng=True, show=True, plot_args=None): """ Plot Receiver operating characteristic (ROC) based on forecast and test catalogs using the contingency table. @@ -2300,7 +2306,7 @@ def plot_contingency_ROC(forecast, catalog, linear=False, axes=None, plot_unifor Args: forecast (:class: `csep.forecast.GriddedForecast`): catalog (:class:`AbstractBaseCatalog`): evaluation catalog - linear (bool): set False to use a log x-axis; set True to use a linear x-axis. By default Linear=False + linear: (bool): if true, a linear x-axis is used; if false a logarithmic x-axis is used. axes (:class:`matplotlib.pyplot.ax`): Previously defined ax object savepdf (str): output option of pdf file savepng (str): output option of png file @@ -2457,7 +2463,7 @@ def plot_contingency_ROC(forecast, catalog, linear=False, axes=None, plot_unifor return ax -def plot_contingency_Molchan(forecast, catalog, linear=False, axes=None, plot_uniform=True, savepdf=True, savepng=True, +def plot_Molchan_diagram(forecast, catalog, linear=True, axes=None, plot_uniform=True, savepdf=True, savepng=True, show=True, plot_args=None): """ @@ -2485,7 +2491,7 @@ def plot_contingency_Molchan(forecast, catalog, linear=False, axes=None, plot_un Args: forecast (:class: `csep.forecast.GriddedForecast`): catalog (:class:`AbstractBaseCatalog`): evaluation catalog - Linear (bool): set False to use a log x-axis; set True to use a linear x-axis. 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