> "Eric" == Eric Firing <[EMAIL PROTECTED]> writes:
Eric> John Hunter wrote:
>>> "Eric" == Eric Firing <[EMAIL PROTECTED]> writes:
>>
Eric> they will not be transparent. If you need transparent
Eric> masked regions, then try pcolor instead of imshow. Pcolor
Eric>
John Hunter wrote:
>>"Eric" == Eric Firing <[EMAIL PROTECTED]> writes:
>
> Eric> they will not be transparent. If you need transparent
> Eric> masked regions, then try pcolor instead of imshow. Pcolor
> Eric> plots nothing at all in masked cells. Pcolormesh, on the
> Eric> o
John,
It sounds like you are not using the latest *released* version of mpl,
which is 0.87.3; the only thing in my example that requires svn is the
colorbar command. If you did install 0.87.3, then you must have an
earlier installation still in place and being found.
imshow requires a uniform
Hi Eric,
Thanks for your suggestion. The colorbar(shrink) command throws me an
error, as you said it would. But I get another error with the '0.3',
'0.5', etc. I had to replace those with (0.3,0.3,0.3) etc -- RGB tuples.
Finally, my plot only shows white, grey red. I don't get any other
colors --
> "Eric" == Eric Firing <[EMAIL PROTECTED]> writes:
Eric> they will not be transparent. If you need transparent
Eric> masked regions, then try pcolor instead of imshow. Pcolor
Eric> plots nothing at all in masked cells. Pcolormesh, on the
Eric> other hand, is like imshow in p
John,
Something like this might be what you want:
from pylab import *
import matplotlib.numerix.ma as ma
import matplotlib.colors as colors
xx = rand(10,15)
xxx = (xx*15 - 5).astype(Int)
xxx = ma.masked_where(xxx < 0, xxx)
xxx.set_fill_value(-1) #(not necessary)
cmap = colors.ListedColormap(('r',
By the way, I had some success with this, but my approach is really
inefficient. Perhaps someone could suggest how I can improve the following:
import matplotlib.numerix as nx
from numarray import ma
def enumimage(A,colors):
"""
Create an image from a matrix of enumerated values
