Hi,
what is the proper way to convert a sage matrix to a numpy 2d-array? The obvious way, i.e. a=np.array(matrix([3 4])) produces a 0d-array (thus a.shape is an empty tuple) which is not what I want. If I use a sympy Matrix instead b=np.array(sp.Matrix([3 4])) it works as expected (b.shape == (2,1), i.e. a row vector) Maybe there is an easy way to convert a sage matrix to a sympy matrix? Just for explanation: I use numpy arrays (with dtype=object) to perform things like element wise multiplication and flattening. Greetings, Bastian -- To post to this group, send email to sage-support@googlegroups.com To unsubscribe from this group, send email to sage-support+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/sage-support URL: http://www.sagemath.org
