Thanks a lot, this solutions seems to serve my purpose. A new method C.remove() would of course be even better.
One could say the problem is solved, but why does there no method exist to update a contour plot as there is for many other plot routines, i.e.
set_xdata/set_ydata for plot
set_data for imshow or
set_UVC for quiver and so on.
set_array should be the corresponding method for contour plots, and if type C.get_array() I actually get the data array that I used to plot the countours!
My purpose of this is to animate the contour plot, and I did read somewhere that updating the plot is much faster/more efficient than deleting and recreating the plot.
----- Original Message -----
From: "Ryan May" <rmay31@...287...>
To: "Johannes Röhrs" <johannesro@...1527...>
Sent: Friday, 9 July, 2010 5:11:37 PM
Subject: Re: [Matplotlib-users] update an existing contour plot with new data
On Fri, Jul 9, 2010 at 6:28 AM, Johannes Röhrs <johannesro@...1527...> wrote:
I have some troubles updating a contour plot. I reduced my code to a simple example to reproduce the problem:
from pylab *
import scipy as sp
What do I need to do to update an existing contour plot with new data?
The set_array() method (I think) only impacts the colormapping
information for contourf, and even then doesn't appear to update.
What you need to do is make a new contour plot and remove the old one,
especially if you need to change the underlying contoured data. This
should be as easy as C.remove(), but for some reason, this doesn't
exist (I'll go add it in a minute). So instead, you need to do the
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(0, 2 * np.pi, 0.1)
X,Y = np.meshgrid(x,x)
f1 = np.sin(X) + np.sin(Y)
f2 = np.cos(X) + np.cos(Y)
C = plt.contourf(f1)
for coll in C.collections:
C = plt.contourf(f2)
Graduate Research Assistant
School of Meteorology
University of Oklahoma