Larry Paltrow <larry.paltrow <at> gmail.com> writes: [clip] > np.all(~np.isnan(data)) > >>> False > > Seems to be all non-nan
No, it means you have NaNs in your data. -- Pauli Virtanen _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
