Le lundi 10 novembre 2008, wbrevis a écrit :
> I'm trying to plot one of my experimental data using scipy. Until now,
> all the work I did was using Matlab. For one of my normal data-
> visualization, I read ASCII or Binary files containing 4 columns: The
> first contains the x coordinate, the second the y one, and the third
> and fourth columns the velocity in the x and y directions (u and v),
> i.e. file= x y u v (ordered in columns). After reading the data in
> Matlab, I normally do: pcolor(x,y,sqrt(u.^2+v.^2)), in order to
> visualize in colors the velocity magnitude and then quiver(x,y,u,v) in
> order to see the associated vectors. I was reading the manual of
> scipy, including the plotting tools, but I am a bit lost (too much
> information to start). Can somebody help me with suggestions on how to
> read data using scipy and the best way to plot (pcolor+quiver)?. What
> about the function quiver3d of mlab, can be used for 2d representation
> of a flow field, together with surf (also mlab).
>
> Thank you in advance for your help and suggestions
(Let's discuss the second point in the matplotlib list only.)
Can you try the following code :
import matplotlib.pyplot as plt
import numpy as np
x, y= np.arange(0,2*np.pi,.2), np.arange(0,2*np.pi,.2)
X,Y = np.meshgrid(x,y)
U,V = np.cos(X), np.sin(Y)
plt.pcolor(X,Y,U**2+V**2)
plt.quiver(X,Y,U,V)
plt.show()
If it is what you do want, then you then only need to import your own
data...
--
Fabricio
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