Dear developers,
I am a happy user of Matplotlib, which is a wonderful library - thank you!
Would it possible to support the SciPy Array interface in more places to
make
Matplotlib less dependent on Numpy/numarray?
In Ubuntu Edgy's version of Matplotlib it's possible to use CVXOPT matrices
in some places, but not in others:
from cvxopt.base import matrix
import pylab, numpy
pylab.imshow(matrix([[1.0,2.0],[3.0,4.0]]))
<matplotlib.image.AxesImage instance at 0xb5d560ac>
pylab.matshow(matrix([[1.0,2.0],[3.0,4.0]]))
Traceback (most recent call last):
File "<stdin>", line 1, in ?
File "/usr/lib/python2.4/site-packages/matplotlib/pylab.py", line 1431, in
matshow
w,h = figaspect(arr)
File "/usr/lib/python2.4/site-packages/matplotlib/figure.py", line 932, in
figaspect
arr_ratio = float(arg)
TypeError: float() argument must be a string or a number
-Joachim
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