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POContinuous 3D plotting (i.e. figure update) using python-matplotlib?
 

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  1. POContinuous 3D plotting (i.e. figure update) using python-matplotlib?
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    <p>I have a simulation which calculates surface data for each iteration of the simulation. I would like to continuously plot that data as a surface plot to the same window (updating the plot in each iteration) in order to see how it evolves and to check the algorithm.</p> <p>My Idea was to create a class that would initialize the window/plot and then redraw to that window from inside the simulation loop. Here is the class I came up with:</p> <pre><code>import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D from matplotlib import cm from matplotlib.ticker import LinearLocator, FixedLocator, FormatStrFormatter import matplotlib matplotlib.interactive( False ) class plot3dClass( object ): def __init__( self, systemSideLength, lowerCutoffLength ): self.systemSideLength = systemSideLength self.lowerCutoffLength = lowerCutoffLength self.fig = plt.figure() self.ax = self.fig.add_subplot( 111, projection='3d' ) self.ax.set_zlim3d( -10e-9, 10e9 ) X = np.arange( 0, self.systemSideLength, self.lowerCutoffLength ) Y = X self.X, self.Y = np.meshgrid(X, Y) self.ax.w_zaxis.set_major_locator( LinearLocator( 10 ) ) self.ax.w_zaxis.set_major_formatter( FormatStrFormatter( '%.03f' ) ) heightR = np.zeros( self.X.shape ) self.surf = self.ax.plot_surface( self.X, self.Y, heightR, rstride=1, cstride=1, cmap=cm.jet, linewidth=0, antialiased=False ) #~ self.fig.colorbar( self.surf, shrink=0.5, aspect=5 ) plt.show() def drawNow( self, heightR ): self.surf = self.ax.plot_surface( self.X, self.Y, heightR, rstride=1, cstride=1, cmap=cm.jet, linewidth=0, antialiased=False ) plt.draw() # redraw the canvas time.sleep(1) </code></pre> <p>The problem I have with this code, is that the code stops at the 'plt.show()' and only continues, when I close the plot-window. Also I am not sure if the calls of 'self.ax.plot_surface( ... )' and 'plt.draw()' would update the figure as I would like it.</p> <p>So is this class the right direction?</p> <p>If yes: What modifications are needed?</p> <p>If not: Could somebody please give me advice how to achieve what I want?</p> <p>I realize that this problem might seem trivial to others, but I (honestly) did spend the whole day yesterday on Google and trying and I'm at a loss...</p> <p>Any help would greatly appreciated, so that I can get back to my actual work.</p> <p>Tanks alot in advance.</p> <p>As a reference:</p> <p>I also found the following code which does, what I want, but it is in 2D, so it does not help me directly:</p> <pre><code>from pylab import * import time ion() tstart = time.time() # for profiling x = arange(0,2*pi,0.01) # x-array line, = plot(x,sin(x)) for i in arange(1,200): line.set_ydata(sin(x+i/10.0)) # update the data draw() # redraw the canvas print 'FPS:' , 200/(time.time()-tstart) </code></pre>
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