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Suppose that I have a (400,10) array called x and a (400,10) array called y. Is that possible to do a polyfit of each row in y to the corresponding row in x without iteration? For example, if I use for loop it will be something like
coe = np.zeros((400,3))
for i in np.arange(y.shape):
coe[i,:] = np.polyfit(x[i,:], y[i,:], 2)
Because the 400 rows in x is totally different, I cannot just apply np.polyfit with the same x coordinate to a multi-dimensional array y.