matplotlib-users Mailing List for matplotlib

I echo using the AxesGrid object from the toolkits. Protip -- I have had 
trouble making it work with semilog plots. So if that is what you are 
doing, it might be worth trying another thing or two first.
Steven
On 12/13/12 9:56 AM, Benjamin Root wrote:
>
>
> On Thu, Dec 13, 2012 at 10:45 AM, Claus <cla...@gm... 
> <mailto:cla...@gm...>> wrote:
>
> Hi,
>
> I am trying to plot a colorbar next to each subplot in a figure.
> In the following example, I create two figures. In the second
> figure, I try to add the colorbars. Is there a way to show the
> colorbar next to each subplot. The way I did it, all the colorbars
> appear next to the last subplot, take away space from it, and all
> are plotted using the "jet" colormap.
> Unfortunately, I am not sure how to do this better, and would
> appreciate hints.
>
>
> import numpy as np
> import matplotlib.pylab as plt
>
> def main():
>
> # four subplots, no colorbar, so far so good
> f, axarr = plt.subplots(2, 2)
> axarr[0, 0].imshow(np.random.rand(5,5)*10)
> axarr[0, 1].imshow(np.random.rand(5,5))
> axarr[1, 0].imshow(np.random.rand(5,5)*100)
> axarr[1, 1].imshow(np.random.rand(5,5)*1000)
> plt.show()
>
> # four subplots, four colorbars
> f, axarr = plt.subplots(2, 2)
> a = axarr[0, 0].imshow(np.random.rand(5,5)*10)
> cbar1 = f.colorbar(a, cmap='jet')
> b = axarr[0, 1].imshow(np.random.rand(5,5))
> cbar2 = f.colorbar(b, cmap='Reds')
> c = axarr[1, 0].imshow(np.random.rand(5,5)*100)
> cbar2 = f.colorbar(c, cmap='Blues')
> d = axarr[1, 1].imshow(np.random.rand(5,5)*1000)
> cbar2 = f.colorbar(d, cmap='Greens')
> plt.show()
>
> if __name__ == '__main__':
> main()
>
>
> I think you are looking for the AxesGrid object from the 
> mpl_toolkits.axes_grid1 module:
>
> http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html#axes-grid1
>
> Ben Root
>
>
>
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-- 
Steven Boada
Doctoral Student
Dept of Physics and Astronomy
Texas A&M University
bo...@ph...

Claus,
f.colorbar may be trying to place the colorbar on the 'current axes'. Does placing 
plt.axes(axarr[0,0])
before each f.colorbar help? Also, the plt.colorbar function [1] (maybe f.colorbar also) can take a keyword argument for the axes in which to draw the colorbar.
-Sterling
[1] http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.colorbar
On Dec 13, 2012, at 7:45AM, Claus wrote:
> Hi,
> 
> I am trying to plot a colorbar next to each subplot in a figure. In the following example, I create two figures. In the second figure, I try to add the colorbars. Is there a way to show the colorbar next to each subplot. The way I did it, all the colorbars appear next to the last subplot, take away space from it, and all are plotted using the "jet" colormap.
> Unfortunately, I am not sure how to do this better, and would appreciate hints.
> 
> 
> import numpy as np
> import matplotlib.pylab as plt
> 
> def main():
> 
> # four subplots, no colorbar, so far so good
> f, axarr = plt.subplots(2, 2)
> axarr[0, 0].imshow(np.random.rand(5,5)*10)
> axarr[0, 1].imshow(np.random.rand(5,5))
> axarr[1, 0].imshow(np.random.rand(5,5)*100)
> axarr[1, 1].imshow(np.random.rand(5,5)*1000)
> plt.show()
> 
> # four subplots, four colorbars
> f, axarr = plt.subplots(2, 2)
> a = axarr[0, 0].imshow(np.random.rand(5,5)*10)
> cbar1 = f.colorbar(a, cmap='jet')
> b = axarr[0, 1].imshow(np.random.rand(5,5))
> cbar2 = f.colorbar(b, cmap='Reds')
> c = axarr[1, 0].imshow(np.random.rand(5,5)*100)
> cbar2 = f.colorbar(c, cmap='Blues')
> d = axarr[1, 1].imshow(np.random.rand(5,5)*1000)
> cbar2 = f.colorbar(d, cmap='Greens')
> plt.show()
> 
> if __name__ == '__main__':
> main()
> ------------------------------------------------------------------------------
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> Remotely access PCs and mobile devices and provide instant support
> Improve your efficiency, and focus on delivering more value-add services
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On Thu, Dec 13, 2012 at 10:45 AM, Claus <cla...@gm...> wrote:
> Hi,
>
> I am trying to plot a colorbar next to each subplot in a figure. In the
> following example, I create two figures. In the second figure, I try to add
> the colorbars. Is there a way to show the colorbar next to each subplot.
> The way I did it, all the colorbars appear next to the last subplot, take
> away space from it, and all are plotted using the "jet" colormap.
> Unfortunately, I am not sure how to do this better, and would appreciate
> hints.
>
>
> import numpy as np
> import matplotlib.pylab as plt
>
> def main():
>
> # four subplots, no colorbar, so far so good
> f, axarr = plt.subplots(2, 2)
> axarr[0, 0].imshow(np.random.rand(5,5)*10)
> axarr[0, 1].imshow(np.random.rand(5,5))
> axarr[1, 0].imshow(np.random.rand(5,5)*100)
> axarr[1, 1].imshow(np.random.rand(5,5)*1000)
> plt.show()
>
> # four subplots, four colorbars
> f, axarr = plt.subplots(2, 2)
> a = axarr[0, 0].imshow(np.random.rand(5,5)*10)
> cbar1 = f.colorbar(a, cmap='jet')
> b = axarr[0, 1].imshow(np.random.rand(5,5))
> cbar2 = f.colorbar(b, cmap='Reds')
> c = axarr[1, 0].imshow(np.random.rand(5,5)*100)
> cbar2 = f.colorbar(c, cmap='Blues')
> d = axarr[1, 1].imshow(np.random.rand(5,5)*1000)
> cbar2 = f.colorbar(d, cmap='Greens')
> plt.show()
>
> if __name__ == '__main__':
> main()
>
I think you are looking for the AxesGrid object from the
mpl_toolkits.axes_grid1 module:
http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html#axes-grid1
Ben Root

Hi,
I am trying to plot a colorbar next to each subplot in a figure. In the following example, I create two figures. In the second figure, I try to add the colorbars. Is there a way to show the colorbar next to each subplot. The way I did it, all the colorbars appear next to the last subplot, take away space from it, and all are plotted using the "jet" colormap.
Unfortunately, I am not sure how to do this better, and would appreciate hints.
import numpy as np
import matplotlib.pylab as plt
def main():
 
 # four subplots, no colorbar, so far so good
 f, axarr = plt.subplots(2, 2)
 axarr[0, 0].imshow(np.random.rand(5,5)*10)
 axarr[0, 1].imshow(np.random.rand(5,5))
 axarr[1, 0].imshow(np.random.rand(5,5)*100)
 axarr[1, 1].imshow(np.random.rand(5,5)*1000)
 plt.show()
 # four subplots, four colorbars
 f, axarr = plt.subplots(2, 2)
 a = axarr[0, 0].imshow(np.random.rand(5,5)*10)
 cbar1 = f.colorbar(a, cmap='jet')
 b = axarr[0, 1].imshow(np.random.rand(5,5))
 cbar2 = f.colorbar(b, cmap='Reds')
 c = axarr[1, 0].imshow(np.random.rand(5,5)*100)
 cbar2 = f.colorbar(c, cmap='Blues')
 d = axarr[1, 1].imshow(np.random.rand(5,5)*1000)
 cbar2 = f.colorbar(d, cmap='Greens')
 plt.show()
if __name__ == '__main__':
 main()

On Mon, Dec 10, 2012 at 5:49 PM, Timothy Duly <tim...@gm...> wrote:
> Paul,
>
> Actually, I didn't realize that you had to change the backend in the
> matplotlibrc file. Once I changed it to 'Qt4Agg', everything worked.
> Thanks!
>
> (to find out where your matplotlibrc file is:
> "matplotlib.matplotlib_fname()" )
>
> Tim
>
>
>
Usually, you don't have to, but I guess something happened with your
install at some point that messed around with your rc file. Glad to see it
fixed.
Ben Root

Thank you Paul. That is exactly it. I guess I was confused by the example
in the help. The addition of your example would be a great addition to the
help file.
Kurt
On 12 December 2012 23:56, Paul Hobson <pmh...@gm...> wrote:
>
>
> On Wed, Dec 12, 2012 at 7:55 AM, Forrester, Kurt <
> kur...@gm...> wrote:
>
>> ax.set_xlim(0.5, 2)
>> ax.set_xscale('log', basex=2, subsx=range(2,9))
>>
>
>
> Kurt,
>
> That `subsx` kwarg is tricky. Does this example get you closer to what you
> want?
>
> import numpy as np
> import matplotlib.pyplot as plt
> fig, ax = plt.subplots()
> ax.set_xlim(0.5, 10)
> ax.set_xscale('log', basex=2, subsx=np.arange(1.,2.1,0.1))
> ax.xaxis.grid(True, which='minor')
> plt.show()
>
> -paul
>