import matplotlib.pyplot as plt
A = matrix([[1,2,3],[4,5,6],[7,8,9]])
plt.matshow(A)What am I missing?
Sage matrices aren't the same as numpy matrices.
sage: A = matrix([[1,2,3],[4,5,6],[7,8,9]])
sage: type(A)
<type 'sage.matrix.matrix_integer_dense.Matrix_integer_dense'>
sage: parent(A)
Full MatrixSpace of 3 by 3 dense matrices over Integer Ring
sage: import numpy
sage: B = numpy.matrix([[1,2,3],[4,5,6],[7,8,9]])
sage: type(B)
<class 'numpy.matrixlib.defmatrix.matrix'>In this case, though, it's easy enough to convert the Sage matrix into something that numpy will like (an array, not a matrix, but that shouldn't matter here):
sage: A.numpy()
array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
sage: type(A.numpy())
<type 'numpy.ndarray'>
sage: plt.matshow(A.numpy())
<matplotlib.image.AxesImage object at 0x10dad0090>I can't figure out what this is supposed to look like. Is it any different from matrix_plot(A)?
You can tweak everything in matplotlib. That is how we generate all these graphics - we use spy and imshow for dense and sparse matrices, it looks like.
Asked: 13 years ago
Seen: 651 times
Last updated: May 22 '11
Copyright Sage, 2010. Some rights reserved under creative commons license. Content on this site is licensed under a Creative Commons Attribution Share Alike 3.0 license.
what happened to the original question?!
I've restored it (more or less) from the revision history. @Sagud, if you have a new question (about animate?) please ask a new question rather than changing an old one.