I installed the numpy-1.0.1 successfully, but failed to install matplotlib
0.90. My linux env is DreamHost Debian Linux. There are some things I can't
control.
Anyone successfully doing so on DH hosted machine? Thanks!
[catalina]$ ../python2.5/bin/python setup.py install
GTK requires pygtk
GTKAg
Suresh Pillai wrote:
> Great, matshow() works for my requirements.
>
> Although, I must comment that its placement of tickbars seems
> inappropriate for a matrix visualisation. For example, for the following
> simple example:
>
> import pylab
>
> matrix = pylab.array([[1,2,3],[4,5,6],[1,1,4]]
Great, matshow() works for my requirements.
Although, I must comment that its placement of tickbars seems
inappropriate for a matrix visualisation. For example, for the following
simple example:
import pylab
matrix = pylab.array([[1,2,3],[4,5,6],[1,1,4]])
pylab.matshow(matrix, cmap=pylab.cm.g
Suresh Pillai wrote:
> I am using imshow to visualise matrices. When I use align='upper'
> (default), the origin is still displayed in the lower left corner on the
> axes - i.e. the y-axis is wrong. The data is plotted correctly with the
> origin in the upper left corner.
>
> Seems to be a bu
I am using imshow to visualise matrices. When I use align='upper'
(default), the origin is still displayed in the lower left corner on the
axes - i.e. the y-axis is wrong. The data is plotted correctly with the
origin in the upper left corner.
Seems to be a bug?
Cheers,
Suresh
-
I found an example on the web that illustrates the question I posted earlier
about axes. See:
http://www.scipy.org/Cookbook/Matplotlib/MulticoloredLine
Notice that the y-axis goes from (-1.1, 1.1) but the first label is at -1.0.
I really don't like that because when I read values off the gra
Hello darkside,
I set up a little program hoping it offers a solution to your problem.
Matthias
>---
from numpy.random import uniform
import pylab
Nt = 20
x,y = uniform(size=(100,Nt+1)),uniform(size=(100,Nt+1))
pylab.
