Lorenzo,
1) What version of mpl are you using?
2) Please generate a short, simple stand-alone script that illustrates
the problem. Use some minimal amount of fake data, preferably generated
by a function rather than read from a table.
Eric
Lorenzo Isella wrote:
> Dear All,
> Some weeks ago I emailed the list asking how to represent data on a
> non-rectangular domain (namely a velocity component along a tube
> cross-section in my case).
> I now can tell that everything goes as in the example described by
> Hansen in Matplotlib-users Digest, Vol 14, Issue 13, which dealt about
> plotting a contour of gridded data.
> However, when I try the following (rsin_t and rcos_t contain the
> position of a point on a circle, namely
> (r*cos(t), r*sin(t)) ):
>
> import pylab
> #.... do my stuff here to load the data and manipulate the coordinates
>
> #pylab.colorbar()
> pylab.clf()
> pylab.contourf(rsin_t.transpose(), rcos_t.transpose(),
> vel_section.transpose(),arange(min(ravel(vel_section)),(max(ravel(vel_section))+0.01),0.01),interpolation="bilinear",cmap=pylab.cm.jet)
> pylab.colorbar()
>
> #pylab.show()
>
> pylab.savefig("velocity_on_section.png")
> pylab.hold(False)
>
> Everything is almost fine if it was not for the following two problems:
> (1)the colorbar contains shows colors ranging from 0 to 1, whereas the
> represented scalar for the contour plot goes from 0 to 0.76.
> (2)centered below the colorbar (not at its left-hand side, where there
> is a 0), there is a number with many digits which cannot be even
> properly read; I do not know where it comes from, but I would like to
> get rid of it.
>
> Overall, pylab is doing everything I want, just I would like to iron out
> these last glitches, probably due to something I am doing wrong.
> Many thanks for any suggestion here.
>
> Lorenzo
>
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