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 “”, 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
Joachim Dahl wrote:
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?
I guess you mean numpy where you say scipy and Numeric where you say numpy?
In that case, the answer is yes:
numpy.asarray( you_array_interface_supporting_object_here )
Joachim Dahl wrote:
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?
I guess you mean numpy where you say scipy and Numeric where you say numpy?
Probably - I wouldn’t be the first to get the names wrong… 
In that case, the answer is yes:
numpy.asarray( you_array_interface_supporting_object_here )
I know you can convert arrays, but it would nice not to have to. E.g., this works:
imshow(matrix([[1.0,2.0],[3.0,4.0]]),
this doesn’t:
matshow(matrix([[1.0,2.0],[3.0,4.0]])
but this does
matshow(pylab.array(matrix([[1.0,2.0],[3.0,4.0]])
···
On 11/21/06, Andrew Straw <strawman@…36…> wrote: