On 04/16/2010 05:41 AM, Bastian Weber wrote:
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.
To answer your original question, I think if we defined __array__ in the
top-level Sage matrix class, we could get this to work.
However, it still seems odd, since "a" does print out okay.
sage: import numpy as np
sage: a=np.array(matrix([[3, 4]]))
sage: a
array([3 4], dtype=object)
sage: a.shape
()
So I can print a, and it looks okay. What is going on there? Is that a
bug in numpy?
Thanks,
Jason
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