Move from Matlab to Python numpy

Question

I am new to python so by gentle with me , I try to convert code from Matlab to numpy python , I am working with matrix .

I have some basic question (that I didn't found the answers in Google):

What is the equivalent for the ' tag for example : H' , H= H*H'

What is the equivalent for the / (mrdivide) tag for example : H= H/A

Thanks, MAK

FYI: docs.scipy.org/doc/numpy-dev/user/numpy-for-matlab-users.html — Warren Weckesser
– Warren Weckesser, Commented Aug 6, 2017 at 22:02

Jonas Adler · Accepted Answer · 2017-08-06 22:22:11Z

4

' (transpose) means the conjugate transpose of a matrix. For real matrices, it is given by np.transpose(arr) or the shorthand arr.T. For complex matrices, you need to use more complicated arr.conj().T.
/ (mrdivide) solves the equation x A = b -> x = b / A using least squares (np.linalg.lstsq). This is equivalent to (x A)^T = b^T -> A^T x^T = b^T, which can be done using np.linalg.lstsq(A.T, b.T).T.

edited Aug 6, 2017 at 22:22

answered Aug 6, 2017 at 21:25

Jonas Adler

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MAK Over a year ago

Thank you for your helpful answers!! . In your answer you make a little work around job :-) , you use the equation B/A = (A'\B')' (np.linalg.lstsq(A.T, b.T).T). Thare any straightforward method in numpy for solves the equation B/A? . In addition the method (np.linalg.lstsq) work only for A n-by-n matrix and B is a matrix with n columns ? or like matlab give full solution ?, again THANKS!!!!

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