Ok! I'm getting there! I've been trying to figure out, though, how to set
black - for example - for the zero values BUT interpolate also the colors
linearly from black to blue in the linear region (from zero to the linear
threshold). Is there a way to change the colormap like that?
Thanks a lot!
On 2014/06/18, 5:23 AM, Bruno Pace wrote:
Ok, so using the norm=SymLogNorm I cannot distinguish the values that
are exactly 0.0 from the really small ones, right? Would it be possible
Correct, the scale is linear for small values.
to make use of the set_bad method without having to use masked
Hi all,
I'm trying to use imshow to plot some values which fall on the interval
[0,1]. I need to
use a logscale to emphasize the scales of the data. The solution I found
checking some discussions was like this
plt.imshow(X, interpolation='none', norm=matplotlib.colors.LogNorm())
However, I
Thomas Guettler wrote:
Hi,
this snippet works if there are more (or less) elements in the menMeans
tuple. If
there are three, it does not work since the bar command thinks the three
element tuple is a tuple of rgb values. But it is a (r, g, b) tuple.
I think it is a bug. Should I create
