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I'm trying to draw a plot with doulbe y axis, the code is very simple:

fig = plt.figure() ax = fig.add_subplot(111) ax_1 = ax.twinx() ax.plot(x, y) ax_1.plot(x_1, y_1) plt.show()

However, my data contain significant fluctuations that make the left part nearly negligible, so I set x limit to truncate these "noises". The original and truncated plot are shown in below.

Oringal & Truncated plot

My expected plot is like the one below (it took me a minute to find optimum y_lims). enter image description here I've found some similar questions how to autoscale y axes, their answers just don't work in my case:

ax.autoscale(True, 'y')|ax.autoscale_view()|ax.relim()

Because (maybe) the upper limit is decided by y.max() which belongs to "noises", are there any ways to autoscale y axes based on the data limit appears on the figure?

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