howdy,
I have some beginner type questions with matshow.
I want the origin of the axes to be the lower left of the figure. I tried:
fig=matshow(data, cmap, origin='lower')
but that didn't seem to do anything. Actually, I want to flip the figure over upper left->lower right diagonal and I want to
do this without explicitly transposing the matrix if possible.
I also am having trouble with the figure size. I am working on a weird dpi (93.65) screen. I tried
fig.set_figsize_inches((5.,5.))
fig.set_dpi(93.6585)
But the screen dimensions still come out off. They are in fact 5 5/16" x 5 5/16". Any ideas?
thanks,
danny
Here's a full file:
···
#####################################
from pylab import *
from matplotlib import cm
data=zeros((10,10))
for i in range(10):
for j in range(10):
data[i,j]=i+j
fig=matshow(data, cm.jet)#, origin='lower'
fig.set_figsize_inches((5.,5.))
fig.set_dpi(72.) #93.6585
savefig('tempPic.png')
Hi Danny,
Danny Shevitz wrote:
howdy,
I have some beginner type questions with matshow.
I want the origin of the axes to be the lower left of the figure. I tried:
fig=matshow(data, cmap, origin='lower')
but that didn't seem to do anything. Actually, I want to flip the figure over upper left->lower right diagonal and I want to
do this without explicitly transposing the matrix if possible.
I also am having trouble with the figure size. I am working on a weird dpi (93.65) screen. I tried
fig.set_figsize_inches((5.,5.))
fig.set_dpi(93.6585)
But the screen dimensions still come out off. They are in fact 5 5/16" x 5 5/16". Any ideas?
Even though I wrote matshow, I have to admit that it was very much a 'stumble in the dark' kind of code. I basically just mucked around with imshow enough to get a matrix to display in the 'traditional' way (top-down, with properly preserved aspect ratio) and that was about it. I'm sure the code can use improvements, but at the time I can't commit any effort into it, I'm afraid.
If you can extend it (the code is extremely simple) in a useful way, just send a patch over and I'm sure we can apply it.
Regards,
f