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In plot_rebit_posterior, the default setting is to call plot_cov_ellipse, which uses np.linalg.eigh to find eigenvectors of the covariance. This can return vecs with complex entries, which then fail on line 146 of plotting_tools.py:
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mikedeltalima commentedon Dec 6, 2019
or, maybe
theta = np.degrees(np.arctan2(*np.real_if_close(vecs)[:,0][::-1]))