anks 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 wi
Eric Firing :
> On 2014/06/17, 8:59 AM, Bruno Pace wrote:
> > 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
>
Hey all,
I am trying to produce an animation from several images generated with
imshow from a sequence of arrays in time, I have done that in several ways.
However, my animations consist of several frames (on the order of 1
frames) and thus the simulation crashes when it's too large.
The solu
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 notic
Hi all,
I am trying to plot the time evolution of a probability distribution, but I
don't know how to use it. I have a different histogram for each time step.
I tried plt.ion() but I'm not sure how to use it. I'm sure it must be a
simple solution, but I haven't really found out how to do it! If I
