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It states that numpy.multiply should be used for element-wise multiplication on matrices, but shows an example with arrays. It might be better to show numpy.multiply in combination with
2 When I use numpy.multiply(a,b) to multiply numpy arrays with shapes (2, 1),(2,) I get a 2 by 2 matrix. But what I want is element-wise multiplication. I''m not familiar with numpy''s rules. Can
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Coding some Quantum Mechanics routines, I have discovered a curious behavior of Python''s NumPy. When I use NumPy''s multiply with more than two arrays, I get faulty results. In the
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And even without examples it should be obvious what element wise means, it means that one element from the matrix is multiplied with one element from the other. That is not how a regular
Elementwise multiplication, as in the OP''s example, uses a ufunc written in C code that is an intrinsic component of numpy. Having said that, my feeling is that it would be asking an awful lot
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