Re: [Numpy-discussion] doc string linalg.solve --> works for b is matrix
I am using 1.3.0. Glad to hear it is correct in 1.4.0 Sorry for bothering you with an old version, but I am very happy with this feature! Mark
What version of numpy are you using? That docstring was updated in that fashion about 8 mo. ago (at least in the Wiki; I'm not sure exactly when it was merged, but it does appear that way in version 1.4.0).
DG
I am using linalg.solve to solve a system of linear equations. As I have to
solve multiple systems with the same matrix, but different right-hand sides, I tried to make the right-hand side a matrix and that works fine. So the docstring should say:
Solve the equation ``a x = b`` for ``x``.
Parameters ---------- a : array_like, shape (M, M) Input equation coefficients. b : array_like, shape (M,) or array_like, shape (M,N) N can be arbitrary size Equation target values.
Returns ------- x : array, shape (M,) or array, shape (M,N)
Thanks,
Mark
Take it as a reminder: when reporting an error or problem, even if it doesn't seem relevant, always provide version number. :-) DG On Wed, Jul 21, 2010 at 12:50 PM, Mark Bakker <markbak@gmail.com> wrote:
I am using 1.3.0. Glad to hear it is correct in 1.4.0 Sorry for bothering you with an old version, but I am very happy with this feature! Mark
What version of numpy are you using? That docstring was updated in that fashion about 8 mo. ago (at least in the Wiki; I'm not sure exactly when it was merged, but it does appear that way in version 1.4.0).
DG
I am using linalg.solve to solve a system of linear equations. As I have to
solve multiple systems with the same matrix, but different right-hand sides, I tried to make the right-hand side a matrix and that works fine. So the docstring should say:
Solve the equation ``a x = b`` for ``x``.
Parameters ---------- a : array_like, shape (M, M) Input equation coefficients. b : array_like, shape (M,) or array_like, shape (M,N) N can be arbitrary size Equation target values.
Returns ------- x : array, shape (M,) or array, shape (M,N)
Thanks,
Mark
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participants (2)
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David Goldsmith
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Mark Bakker