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Description
Bug summary
When creating a nested grid of axes usingGridSpecFromSubplotSpec
(EG by callingaxis.get_subplotspec().subgridspec(...)
), and plotting a figure usinglayout="constrained"
, the nested axes are not displayed correctly. Specifically, the inner grids do not respect the spacing between the outer grids, as shown below.
Code for reproduction
importmatplotlib.pyplotaspltimportmatplotlib.axesimportmatplotlib.gridspecimportmatplotlib._layoutgriddefmake_demo(plot_name,outer_space=0.1,inner_space=0.1,layout=None,):file_name="%s.png"%plot_nameprint(file_name)figure=plt.figure(figsize=[10,6],layout=layout)grid_spec=matplotlib.gridspec.GridSpec(nrows=1,ncols=2,figure=figure,wspace=outer_space,hspace=outer_space,width_ratios=[2,1], )axis_array=grid_spec.subplots(squeeze=False)a0,a1=axis_array.flatten().tolist()assertisinstance(a0,matplotlib.axes.Axes)assertisinstance(a1,matplotlib.axes.Axes)foraxisin [a0,a1]:axis.get_xaxis().set_visible(False)axis.get_yaxis().set_visible(False)forsinaxis.spines.values():s.set(color="r",lw=10)subplot_spec=axis.get_subplotspec()subgrid_spec=subplot_spec.subgridspec(nrows=3,ncols=3,wspace=inner_space,hspace=inner_space, )axis_array=subgrid_spec.subplots(squeeze=False)figure.suptitle(plot_name,fontsize=25)figure.savefig(file_name)deffix_layout_grid():defaults=matplotlib._layoutgrid.LayoutGrid.__init__.__defaults__defaults=list(defaults)defaults[2]=Truedefaults=tuple(defaults)matplotlib._layoutgrid.LayoutGrid.__init__.__defaults__=defaultsif__name__=="__main__":make_demo("1_original")make_demo("2_more_outer_space",outer_space=0.8)make_demo("3_more_inner_space",outer_space=0.8,inner_space=0.8)make_demo("4_constrained",layout="constrained")make_demo("5_constrained_more_outer_space",layout="constrained",outer_space=0.3)make_demo("6_constrained_more_inner_space",layout="constrained",outer_space=0.3,inner_space=0.3)fix_layout_grid()make_demo("7_fixed_constrained",layout="constrained")make_demo("8_fixed_constrained_more_outer_space",layout="constrained",outer_space=0.3)# filenames = [# "1_original.png",# "2_more_outer_space.png",# "3_more_inner_space.png",# "4_constrained.png",# "5_constrained_more_outer_space.png",# "6_constrained_more_inner_space.png",# "7_fixed_constrained.png",# "8_fixed_constrained_more_outer_space.png",# ]# from jutility import util, plotting# mp = plotting.MultiPlot(# *[plotting.ImShow(util.load_image(s)) for s in filenames],# colour="grey",# )# mp.save()
Actual outcome
In images 1-3 below (not constrained layout), the inner grids respond to the spacing between the outer grids. However, when usinglayout="constrained"
in images 4-6 below (before my workaround is applied), the inner grids ignore the spacing between the outer grids.
Expected outcome
The inner grids should respond to the spacing between the outer grids (which is the case in images 7-8 after my workaround is applied).
Additional information
I have found a workaround, which doesn't involve modifying thematplotlib
installation (included in thefix_layout_grid
function above):
defaults=matplotlib._layoutgrid.LayoutGrid.__init__.__defaults__defaults=list(defaults)defaults[2]=Truedefaults=tuple(defaults)matplotlib._layoutgrid.LayoutGrid.__init__.__defaults__=defaults
I have also found 2 possible fixes (either one works, the first is more conservative):
- Inhttps://github.com/matplotlib/matplotlib/blob/v3.9.2/lib/matplotlib/_constrained_layout.py#L226 , in
layoutgrids[rep] = mlayoutgrid.LayoutGrid(...)
, includeparent_inner=True
- Inhttps://github.com/matplotlib/matplotlib/blob/v3.9.2/lib/matplotlib/_layoutgrid.py#L36 , in
LayoutGrid.__init__(...)
, changeparent_inner=False
toparent_inner=True
Operating system
Ubuntu
Matplotlib Version
3.9.2
Matplotlib Backend
qtagg
Python version
Python 3.10.12
Jupyter version
No response
Installation
pip