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Currently you can adjoin any element type to another and at least in bokeh they will render correctly in general. However in matplotlib the dimensions of the adjoined plots will often be wrong due to issues with aspects. Additionally many matplotlib plots do not correctly support invert_axes, which leads to the data being plotted incorrectly in those cases. These two issues should be addressed.
The text was updated successfully, but these errors were encountered:
Will that require changes in matplotlib itself? If so may be worth opening an issue there now so that they are aware of it, even if we don't plan to work on it at our end right away.
The plotting classes should invert the data appropriately so invert_axes is respected. The AdjointLayoutPlot will then tell the subplot that it should invert the axes if it is adjoined to the right. That's how it works in bokeh and for the few plot types that support it in matplotlib.
Currently you can adjoin any element type to another and at least in bokeh they will render correctly in general. However in matplotlib the dimensions of the adjoined plots will often be wrong due to issues with aspects. Additionally many matplotlib plots do not correctly support
invert_axes
, which leads to the data being plotted incorrectly in those cases. These two issues should be addressed.The text was updated successfully, but these errors were encountered: