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In the function confidence_band() in notebooks/utils/bootstrap.py, you use
lower = np.percentile(boots, 0.16, axis=0) median = np.percentile(boots, 0.50, axis=0) upper = np.percentile(boots, 0.84, axis=0)
numpy.percentile(a,q) returns the value of a q/100 of the way through the sorted elements of a, so I think what you need here is
lower = np.percentile(boots, 16, axis=0) median = np.percentile(boots, 50, axis=0) upper = np.percentile(boots, 84, axis=0)
P.S. Thanks so much for making everything available. This transparency in analysis is what astronomy needs.
The text was updated successfully, but these errors were encountered:
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In the function confidence_band() in notebooks/utils/bootstrap.py, you use
numpy.percentile(a,q) returns the value of a q/100 of the way through the sorted elements of a, so I think what you need here is
P.S. Thanks so much for making everything available. This transparency in analysis is what astronomy needs.
The text was updated successfully, but these errors were encountered: