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In a plot such as the following I want to switch from a logarithmic to a linear scale (e.g. starting from the blue lines at 6 * 10^5) on both axes.

I know how to do this for just one of them from this thread. But how to do this for both at the same time?

example

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  • matplotlib.org/3.2.1/gallery/subplots_axes_and_figures/… OR matplotlib.org/3.1.0/gallery/subplots_axes_and_figures/… Commented Sep 24, 2020 at 9:14
  • Does this answer your question? combining a log and linear scale in matplotlib Commented Sep 24, 2020 at 9:16
  • You just need to implement the same solution for both axes. Commented Sep 24, 2020 at 9:16
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    @earik87 No, in fact I mentioned this very thread myself. To my understanding with append_axes we just put multiple sets of axes next to each other. That alone does not suffice here. Commented Sep 24, 2020 at 9:25
  • With a single axis switching form linear to log, you need to do the graph in two parts, as the linked example shows. Think of this as two separate rectangular parts of the graph, one for linear and one for log. With both axes, you now have four separate rectangular parts of the graph (exactly the four sections delineated by your blue lines above), that is, (linear, linear), (linear, log), (log, linear), and (log, log). That is, whereas the link answer has two parts, you need four, but otherwise it's exactly the same. Commented Sep 25, 2020 at 3:27
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