pyhf.contrib.viz.brazil.plot_results¶

pyhf.contrib.viz.brazil.plot_results(ax, mutests, tests, test_size=0.05)[source]¶

Plot a series of hypothesis tests for various POI values.

Example

>>> import numpy as np
>>> import matplotlib.pyplot as plt
>>> import pyhf
>>> import pyhf.contrib.viz.brazil
>>> pyhf.set_backend("numpy")
>>> model = pyhf.simplemodels.hepdata_like(
...     signal_data=[12.0, 11.0], bkg_data=[50.0, 52.0], bkg_uncerts=[3.0, 7.0]
... )
>>> observations = [51, 48]
>>> data = observations + model.config.auxdata
>>> poi_vals = np.linspace(0, 5, 41)
>>> results = [
...     pyhf.infer.hypotest(test_poi, data, model, return_expected_set=True)
...     for test_poi in poi_vals
... ]
>>> fig, ax = plt.subplots()
>>> pyhf.contrib.viz.brazil.plot_results(ax, poi_vals, results)

Parameters

ax (matplotlib.axes.Axes) – The matplotlib axis object to plot on.
mutests (list or array) – The values of the POI where the hypothesis tests were performed.
tests (list or array) – The \(\mathrm{CL}_{s}\) values from the hypothesis tests.
test_size (float) – The size, \(\alpha\), of the test.