Hi Ben,
Thanks for those tips. I ended up giving a list of axes to the ax argument
of colorbar as you suggested. That took care of the misalignment of the
top plots and bottom plots but then the colorbar extended the full vertical
height of both rows of axes. Fiddling with the shrink and anchor parameter
values then got me what I wanted. I'm sure that axis_grid1 could work as
well, but my situation is sufficiently complicated that I don't want to
spend the time fiddling with it at this point.
Regards,
Jon
On Thu, Dec 11, 2014 at 2:30 PM, Benjamin Root <[email protected]> wrote:
>
> If you have matplotlib v1.3 (maybe 1.2, I can't remember), you can pass a
> list of axes to the "ax" argument of colorbar, and it should steal space
> equally from all the specified axes.
>
> I am also particularly fond of using the mpl_toolkit axis_grid1, which
> provides you a nice way to preallocate space for colorbars in different
> ways:
>
> http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html?highlight=axes_grid1#axes-grid1
>
> I hope that helps!
> Ben Root
>
>
> On Thu, Dec 11, 2014 at 1:49 PM, Slavin, Jonathan <[email protected]
> > wrote:
>
>> Hi,
>>
>> I'm trying to make a plot with four panes (2x2). The two on top are
>> images, created with pcolormesh, while the ones on the bottom are line
>> plots. I'd like to the axes to line up -- which they do -- but when I add
>> a colorbar to the top right, it steals space from the image plot. I only
>> need one colorbar since the two images are forced to have the same
>> scaling. Can anyone tell me how to insert the colorbar on the top right
>> without it taking space from the top right image -- or force the space to
>> be taken from the horizontal space of all the plots so the shapes are
>> uniform? I've tried several approaches including using make_axes_locatable
>> from mpl_toolkits.axes_grid1 with no success. I must admit that I don't
>> really understand what make_axes_locatable does, so it may be entirely the
>> wrong thing to use. On the other hand, not using it, i.e. just using
>> plt.colorbar or fig.colorbar seems to do essentially the same thing, steal
>> space from the axes. The basics of the plot are like this:
>>
>> x = np.arange(20.)
>> xc = (x[:-1] + x[1:])/2.
>> y = np.arange(15.)
>> xx,yy = np.meshgrid(x,y)
>> z1 = np.random.randn(14,19)
>> z2 = np.random.randn(14,19)
>>
>> fig,ax = plt.subplots(2,2)
>> pc = ax[0,0].pcolormesh(x,y,z1)
>> ax[1,0].plot(xc,z1[0,:])
>> ax[0,1].pcolormesh(x,y,z2)
>> ax[1,1].plot(xc,z2[0,:])
>> cb = plt.colorbar(pc, ax=ax[0,1])
>> plt.show()
>>
>> Any help would be appreciated.
>>
>> Regards,
>> Jon
>> --
>> ________________________________________________________
>> Jonathan D. Slavin Harvard-Smithsonian CfA
>> [email protected] 60 Garden Street, MS 83
>> phone: (617) 496-7981 Cambridge, MA 02138-1516
>> fax: (617) 496-7577 USA
>> ________________________________________________________
>>
>>
>>
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--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
[email protected] 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
fax: (617) 496-7577 USA
________________________________________________________
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