testbed/matplotlib__matplotlib/galleries/examples/axisartist/demo_parasite_axes2.py

"""
==================
Parasite axis demo
==================

This example demonstrates the use of parasite axis to plot multiple datasets
onto one single plot.

Notice how in this example, *par1* and *par2* are both obtained by calling
``twinx()``, which ties their x-limits with the host's x-axis. From there, each
of those two axis behave separately from each other: different datasets can be
plotted, and the y-limits are adjusted separately.

This approach uses `mpl_toolkits.axes_grid1.parasite_axes.host_subplot` and
`mpl_toolkits.axisartist.axislines.Axes`.

The standard and recommended approach is to use instead standard Matplotlib
axes, as shown in the :doc:`/gallery/spines/multiple_yaxis_with_spines`
example.

An alternative approach using `mpl_toolkits.axes_grid1.parasite_axes.HostAxes`
and `mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes` is shown in the
:doc:`/gallery/axisartist/demo_parasite_axes` example.
"""

import matplotlib.pyplot as plt

from mpl_toolkits import axisartist
from mpl_toolkits.axes_grid1 import host_subplot

host = host_subplot(111, axes_class=axisartist.Axes)
plt.subplots_adjust(right=0.75)

par1 = host.twinx()
par2 = host.twinx()

par2.axis["right"] = par2.new_fixed_axis(loc="right", offset=(60, 0))

par1.axis["right"].toggle(all=True)
par2.axis["right"].toggle(all=True)

p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
p2, = par1.plot([0, 1, 2], [0, 3, 2], label="Temperature")
p3, = par2.plot([0, 1, 2], [50, 30, 15], label="Velocity")

host.set(xlim=(0, 2), ylim=(0, 2), xlabel="Distance", ylabel="Density")
par1.set(ylim=(0, 4), ylabel="Temperature")
par2.set(ylim=(1, 65), ylabel="Velocity")

host.legend()

host.axis["left"].label.set_color(p1.get_color())
par1.axis["right"].label.set_color(p2.get_color())
par2.axis["right"].label.set_color(p3.get_color())

plt.show()