Dear matplolibers, when dealing with multi-axes plot sometimes would be nice to use figure-wide x and y labels. On the web I've found some suggestion on how to do this, but I found no solution valid in the general case and that integrate in the matplotlib ecosystem. The ideal would be to have a "set_xlabel" and "set_ylabel" method in the Figure class, with the same api of the corresponding Axes methods.
As a proof of concept I've written a class derived from Figure , which implements the two methods simply adding a horizontal (vertical) text below (left of) the lowest (leftmost) axes. The class together with a short example is attached. I'm aware that the current implementation is really poor (no integration with tight_layout, the padding must be adjusted by hand, a problem in particular for the y label). The best is to use "self.xaxis.set_label_text(xlabel, fontdict, **kwargs)" as in the Axis set_xlabel (as I gather this create a label that is rendered in the correct position accounting for ticklabels, ticks, tight_layout, etc). To do this one would have to create: - a figure-wide invisible axes that encloses all the other axes/subplots, and whose dimension has to be updated every time a new axis/subplot is added (this should be easily done) with only the label visible. This could also allow to use axis features, like twin axis. - just the required axis (invisible) that hosts the labels. I think that this approach is less demanding computationally, but I don't know how much sense have two axis not attached to axes. Any suggestions/hints on how to implement these methods in a better way is very welcome. If there is no opposition, later in the day I'll submit PR on github with the two new method and see if we can get something out of this idea. Cheers, Francesco
test_set_label_fig.py
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