Hi,

On Mon, 2011-07-11 at 07:13 -0700, SiggiN wrote:
> Hi all!
> 
> following code shows the problem I have with placing a colorbar for several
> subplots.
> 
> #-----------------------------code------------
> import matplotlib
> import numpy as np
> import matplotlib.cm as cm
> import matplotlib.mlab as mlab
> import matplotlib.pyplot as plt
> 
> matplotlib.rcParams['xtick.direction'] = 'out'
> matplotlib.rcParams['ytick.direction'] = 'out'
> 
> delta = 0.025
> x = np.arange(-3.0, 3.0, delta)
> y = np.arange(-2.0, 2.0, delta)
> X, Y = np.meshgrid(x, y)
> Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
> Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
> # difference of Gaussians
> Z = 10.0 * (Z2 - Z1)
> 
> plt.figure()
> 
> plt.subplot(211)
> CS = plt.contourf(X, Y, Z)
> 
> 
> plt.subplot(212)
> CS = plt.contourf(X, Y, Z)
> 
> 
> plt.colorbar(orientation='horizontal')
> plt.show()
> 
> #-------------end code--------------
> result:
> http://old.nabble.com/file/p32037832/inttest.png 
> 
> is ther a way to not let the colorbar cut space from the 2nd subplot. I
> would like to have them both the same size.
> 

the subplot command only takes from the last axes as default. What you
need to do (I think and I always do it like this) Define 3 sets of axes
by hand instead of subplot(211) you use plt.axes(...) to create them (I
guess there may be a nicer method, not sure). Then you can pass which
axes to draw into with the colorbar function.

Regards,

Sebastian


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