3D plotting in mpl should be considered, at best, to be experimental and
unsupported. Some interesting and fairly extensive capabilities were
added but have not been consistently maintained. Mpl is at heart 2D.
Eric
Lorenzo Isella wrote:
> Dear All,
> I would like to try out matplotlib for some basic 3D plotting.
> First of all, is matplotlib suitable for that? I am asking since I read
> on the website that matplotlib's selling point is 2D plotting.
> What I would like to plot should be relatively easy: say that I have a
> distribution (e.g. think of a Gaussian) whose features evolve as time
> goes on.
> I aim at a 3D plot where time is the z coordinate, x is the independent
> variable of my distribution at t fixed and y=f(x) is my Gaussian
> distribution.
> The data I would like to plot are in the following form:
>
> f(t_1,x_1),f(t_1,x_2)...f(t_1,x_n)
> f(t_2,x_1),f(t_2,x_2)...f(t_2,x_n)
> .
> .
> .
> f(t_m,x_1),f(t_m,x_2)...f(t_m,x_n)
>
> and I know both the time sequence {t_1,t_2...t_m} and the x sequence
> {x_1,x_2,x_n}.
> I got something roughly similar to what I had in mind using R, but I do
> not think it is the right tool for that.
> Should I resort to Gnuplot by necessity or is Matplotlib up to the task?
> Judging from what I see on:
> http://www.scipy.org/Cookbook/Matplotlib/mplot3D
> that would seem the case.
> I have been trying to modify the last example with some artificially
> generated data, but so far unsuccessfully.
> Any suggestions? I suppose I am not the first one to come across this!
> Many thanks
>
> Lorenzo
>
>
>
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