What is the equivalent of Matlabs differentiate function in numpy?

Question

I have a function and I use polynomial approximation of the function in Matlab, then I calculate the differentiate of the function

ppp = fit(x,y, 'poly9')
polydiff = differentiate(ppp, x)

I would like to do the same in numpy

fx = np.polyfit( x.T, y.T, 9 )

What is the equivalent function of the differentiate?

Answer 1

I'm assuming you mean polyder() ? The equivalent is np.polyder()

http://www.mathworks.com/help/matlab/ref/polyder.html

http://docs.scipy.org/doc/numpy/reference/generated/numpy.polyder.html

edit: Just realized you're talking about the symbolic math toolbox, which I'm not too familiar with. See Danny M's comment for the symbolic equivalent.