[FIXED] Plot with 3 different x axis and the same y axis in matplotlib?

Issue

I've been trying to plot a figure that has 3 different x axis but the y axis is the same and it's the same, contiguous curve. The first part of the x axis goes up to a point (in the figure, that's zero). The second part of the axis is on a different scale (in the figure is shown on top). The 3rd section starts where the first section ended (zero, in this case). I wanted to plot the curve without any breaks. Could something like in the picture be done in matplotlib? Thank you in advance.

Solution

It is a bit unclear how the center part should look like, and which scaling that axis should have. But the general structure could be created as follows:

import matplotlib.pyplot as plt
import numpy as np

fig, (ax1, ax2, ax3) = plt.subplots(ncols=3, sharey=True,
                                    gridspec_kw={'wspace': 0, 'width_ratios': [3, 2, 3]})
for side in ('top', 'right'):
    ax1.spines[side].set_visible(False)
ax2.spines['bottom'].set_visible(False)
for side in ('left', 'right', 'top'):
    ax3.spines[side].set_visible(False)
ax2.xaxis.tick_top()
for side in ('left', 'right'):
    ax2.spines[side].set_linestyle((0, (4, 4)))
ax2.set_zorder(2)  # to show the dashed axes
ax2.tick_params(axis='y', left=False, right=False)
ax3.tick_params(axis='y', left=False, right=False)

ax1.set_xlim(-2.5, 0)
ax2.set_xlim(-1, 1)
ax3.set_xlim(0, 2.5)

x = np.linspace(-2.5, 2.5, 500)
y = np.sin(np.pi * x * np.abs(x))
ax1.plot(x, y)
ax2.plot(x, y)
ax3.plot(x, y)
plt.tight_layout()
plt.show()

Answered By - JohanC