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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