Hi Jae-Joon, Thanks for your help! One last question - if I create a colorbar axes with
cax = divider.new_horizontal(size="5%", pad=0.05) Is it possible to then modify the size and pad parameters, or do I need to delete the axes and start again? Cheers, Tom On Mar 5, 2010, at 12:20 PM, Jae-Joon Lee wrote: > Unfortunately, axes_grid toolkit (in most cases) creates an axes using > its own Axes class by default. Here is some more details. > > http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#axisline > > To use mpl's original Axes class, append axes_class parameter. > > import matplotlib.axes as maxes > cax = divider.new_horizontal(size="5%", pad=0.05, axes_class=maxes.Axes) > > Then your code should work. > > Just in case, with the axes_grid's own Axes class, instead of looping > over major_ticks, you do > > cax.axis["left"].toggle(all=False) > cax.axis["right"].toggle(all=True) > > Regards, > > -JJ > > > On Fri, Mar 5, 2010 at 9:38 AM, Thomas Robitaille > <thomas.robitai...@gmail.com> wrote: >> Hi Jae-Joon, >> >> I am encountering another issue, when using the method you suggest in >> combination with the parasite_axes from the matplotlib toolkit: >> >> --- >> >> import matplotlib.pyplot as mpl >> import numpy as np >> from mpl_toolkits.axes_grid import make_axes_locatable >> import mpl_toolkits.axes_grid.parasite_axes as mpltk >> >> fig = mpl.figure() >> >> ax = mpltk.SubplotHost(fig, 1, 1, 1) >> fig.add_axes(ax) >> >> divider = make_axes_locatable(ax) >> >> cax = divider.new_horizontal(size="5%", pad=0.05) >> fig.add_axes(cax) >> >> image = ax.imshow(np.random.random((100,100))) >> >> cb = fig.colorbar(image, cax=cax) >> >> --- >> >> In the above case, the labels end up on the wrong side of the plot, and the >> usual method for changing the label position, e.g.: >> >> for tick in cax.xaxis.get_major_ticks(): >> tick.tick1On = True >> tick.tick2On = True >> tick.label1On = False >> tick.label2On = True >> >> does not work. Do you have any idea why this might be? >> >> Thanks for any help, >> >> Thomas >> >> >> >> On Mar 4, 2010, at 10:28 PM, Jae-Joon Lee wrote: >> >>> see >>> >>> http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg15919.html >>> >>> axes_grid toolkit provides some helper function that utilizes >>> axes_locator (take a look at demo_locatable_axes_easy function in the >>> example below) >>> >>> http://matplotlib.sourceforge.net/examples/axes_grid/demo_axes_divider.html >>> >>> -JJ >>> >>> >>> >>> >>> On Thu, Mar 4, 2010 at 9:05 PM, Thomas Robitaille >>> <thomas.robitai...@gmail.com> wrote: >>>> Hi, >>>> >>>> I am trying to set up a colorbar that automatically resizes if I zoom in >>>> to an image (which changes the aspect ratio of the axes, so I want the >>>> colorbar to get resized too). Let's say I have two Axes instances, say ax >>>> (for the main image) and cax (for the colorbar). I can set up a callback >>>> if the view limits in one axes change, for example >>>> >>>> ax.callbacks.connect('xlim_changed', update_colorbar) >>>> ax.callbacks.connect('ylim_changed', update_colorbar) >>>> >>>> Now I can store a reference to cax inside ax: >>>> >>>> ax._cax = cax >>>> >>>> And I can now define update_colorbar so that it basically changes the >>>> position of cax: >>>> >>>> def update_colorbar(ax): >>>> >>>> # Get current position >>>> xmin = ax..get_position().xmin >>>> ... >>>> >>>> # Compute new colorbar position >>>> ... >>>> >>>> # Set new position >>>> ax._cax.set_position(...) >>>> >>>> # Return axes instance >>>> return ax >>>> >>>> Now the issue is that if I select a region of the image to zoom into, then >>>> as soon as I've selected the region, update_colorbar gets called, but by >>>> then, the aspect ratio of ax hasn't changed, and so the position I find >>>> when I do xmin = ax..get_position().xmin in update_colorbar is the *old* >>>> position of ax, not the new one. So the colorbar position is always one >>>> step behind compared to the main image axes. >>>> >>>> Can anyone think of any way that would avoid this issue, and to be able to >>>> use the *new* position of ax inside update_colorbar? >>>> >>>> Thanks in advance for any help, >>>> >>>> Thomas >>>> ------------------------------------------------------------------------------ >>>> Download Intel® Parallel Studio Eval >>>> Try the new software tools for yourself. Speed compiling, find bugs >>>> proactively, and fine-tune applications for parallel performance. >>>> See why Intel Parallel Studio got high marks during beta. >>>> http://p.sf.net/sfu/intel-sw-dev >>>> _______________________________________________ >>>> Matplotlib-users mailing list >>>> Matplotlib-users@lists.sourceforge.net >>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>>> >> >> ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
