Linear regression of arrays containing NANs in Python/Numpy

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You can remove NaNs using a mask:

mask = ~np.isnan(varx) & ~np.isnan(vary)
slope, intercept, r_value, p_value, std_err = stats.linregress(varx[mask], vary[mask])

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