I have a signal with a relatively high frequency and I want to have a detailed look at the start of the recorded signal and the end. Like the signal is 1 hour long and I want the first 10 seconds and the last 10 seconds kind of zoomed in (on the x-axis) and the middle section "normal". I already found this method axs.set_yscale('function', functions=(forward, inverse)) which should be able to define a custom scale, but I'm unable to understand how this works and I can not find a lot of documentation on this method. I can not share the real data, but the data looks very similar to a sinus, so one can use this plot to visualize it: fig, axs = plt.subplots() x = np.arange(0, 1000 * np.pi, 0.1) y = 2 * np.sin(x) + 3 axs.plot(x, y) Continue reading...
