Well, the image is being plotted using:
## create logorithmic scale
range_max = int(pl.ceil(dat_max))
step = int(pl.ceil(range_max/10))
logspace = 10.**np.linspace(-1, 4.0, 20) # 50 equally-spaced-in-log points
between 1.e-01 and 1.0e03
#plot#
im =
m.imshow(topodat,cmap=cm.s3pcpn,interpolation=
The image is being plot in linear scale, while the scatter point is
being plotted with log scale...?
John [H2O] wrote:
> I should add here also, this doesn't explain for me why the values are
> different?? Thoughts on that mtter?
>
> Thanks!!
>
>
>
--
Michael Droettboom
Science Software Bran
I should add here also, this doesn't explain for me why the values are
different?? Thoughts on that mtter?
Thanks!!
--
View this message in context:
http://www.nabble.com/Problems-with-imshow-logarithmic-plot-tp20152686p20190717.html
Sent from the matplotlib - users mailing list archive at Na
Okay,
I can't find where I came up with the original solution to use imshow with
custom clevs... I think it was a thread on this forum possibly, or in an
example. But the point is that I recall there was some development talk
about improving the handling of log data for this issue Does anyone
imshow doesn't handle logarithmic data. You'll want to use pcolor or
pcolormesh instead.
As for the graininess, unfortunately, pcolor and pcolormesh don't
support any kind of interpolation. (imshow does, but it can only draw
uniform data).
Mike
John [H2O] wrote:
> Hello,
>
> I'm trying to g
Hello,
I'm trying to get imshow to plot logarithmic data. I'm having some problems
with the colorbar or data??
Note, I plot the max_dat value on the bottom of the figure, but it does not
seem to correspond with the values in the plot??? Any ideas? Also, does
anyone have some recommendations on h
