ImageGrid creates axes for colobar even if cbar_mode=None. These axes for
colorbar are set to invisible, so usually they are harmless.
tight_layout, however, do not care whether the axes is visible or not, and
the warning is because of these invisible axes for colorbars.
For comparison, if you turn on all colorbar with cbar_mode=each, the
warning will go away.
You may manually remove colorbar axes from the figure if you want,
```
for ax in grid.cbar_axes: fig._axstack.remove(ax)
```
but do this only when cbar_mode=None.
So, I think the warning is harmless.
I will make a pull request that make tight_layout to ignore any invisible
axes soon.
Regards,
-JJ
On Wed, May 8, 2013 at 10:21 PM, Jonathan Slavin jsla...@cfa.harvard.eduwrote:
Hi,
I wrote a short routine to look through a set of images that result from
slightly different processing of the same data. I want to compare three
different images and be able to zoom them all in the same way and then
move onto the next set of three. The best way that I've found to do
that so far involves using mpl_toolkits.axes_grid1.ImageGrid. It all
works fine. I found that to get the most image on screen at once, using
the tight_layout=True argument to plt.figure gives excellent results.
My one question is that I get the following warning:
WARNING: This figure includes Axes that are not compatible with
tight_layout, so its results might be incorrect. [matplotlib.figure]
As I say, the results are good, so it's not really a problem, but I do
wonder about the source of the warngin -- and whether re-using the code
in a different way in the future could lead to problems. So, my
question is: what is the problem pointed to by the warning and how could
I avoid it (while still getting the same good results)?
Regards,
Jon
--
__
Jonathan D. Slavin Harvard-Smithsonian CfA
jsla...@cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
__
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