On Sat, Sep 11, 2010 at 2:10 PM, Oz Nahum <nahu...@gmail.com> wrote:
> Hi Everyone again,
>
> So, with the weekend comes some time to think and I found an answer to
> another question of mine.
>
> I know now how to remove xticks in colorbar, and I also know how to
> customize the widths of the lines in the color bar.
>
> import matplotlib
> import numpy as np
> import matplotlib.cm as cm
> import matplotlib.mlab as mlab
> import matplotlib.pyplot as plt
> from pylab import *
>
> 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)
>
>
>
> # Create a simple contour plot with labels using default colors. The
> # inline argument to clabel will control whether the labels are draw
> # over the line segments of the contour, removing the lines beneath
> # the label
> plt.figure()
> CS = plt.contour(X, Y, Z)
> plt.clabel(CS, inline=1, fontsize=10,inlinespacing=50)
> a=plt.colorbar()
>
> ticks = a.ax.get_xticklines()
> lines = a.ax.get_ygridlines()
> children=a.ax.get_children()
>
> children=a.ax.get_children()
>
> children[4].set_linewidths([12,12,12,12,12,12])
>
> for tick in ticks:
> setp(tick, [])
>
>
> plt.title('Customize colorbar')
>
>
> I hope someone finds that useful. And someone is still following my
> monologue, my question, how to remove the axes around the colorbar, or at
> least changed the to be non-visible, still stands...
>
> Thanks,
>
> Oz
>
>
Oz,
I agree, Colorbar isn't the most elegant of objects and is probably due for
some improvements. I am sure there is probably a better way to do what you
have done, but I am not familiar with it. Anyway, to get rid of the box
around the colorbar, the colorbar object has a member attribute called
"outline" which you can set_visible(False).
a = plt.colorbar()
a.outline.set_visible(False)
Should do the trick for that part.
I hope this helps!
Ben Root
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