1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67
|
"""
==================
Demo Parasite Axes
==================
Create a parasite axes. Such axes would share the x scale with a host axes,
but show a different scale in y direction.
Note that this approach uses the `~mpl_toolkits.axes_grid1.parasite_axes`\'
`~.mpl_toolkits.axes_grid1.parasite_axes.HostAxes` and
`~.mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes`. An alternative
approach using the :ref:`toolkit_axesgrid1-index` and
:ref:`toolkit_axisartist-index`
is found in the :doc:`/gallery/axisartist/demo_parasite_axes2` example.
An alternative approach using the usual matplotlib subplots is shown in
the :doc:`/gallery/ticks_and_spines/multiple_yaxis_with_spines` example.
"""
from mpl_toolkits.axisartist.parasite_axes import HostAxes, ParasiteAxes
import matplotlib.pyplot as plt
fig = plt.figure(1)
host = HostAxes(fig, [0.15, 0.1, 0.65, 0.8])
par1 = ParasiteAxes(host, sharex=host)
par2 = ParasiteAxes(host, sharex=host)
host.parasites.append(par1)
host.parasites.append(par2)
host.set_ylabel("Density")
host.set_xlabel("Distance")
host.axis["right"].set_visible(False)
par1.axis["right"].set_visible(True)
par1.set_ylabel("Temperature")
par1.axis["right"].major_ticklabels.set_visible(True)
par1.axis["right"].label.set_visible(True)
par2.set_ylabel("Velocity")
offset = (60, 0)
new_axisline = par2._grid_helper.new_fixed_axis
par2.axis["right2"] = new_axisline(loc="right", axes=par2, offset=offset)
fig.add_axes(host)
host.set_xlim(0, 2)
host.set_ylim(0, 2)
host.set_xlabel("Distance")
host.set_ylabel("Density")
par1.set_ylabel("Temperature")
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")
par1.set_ylim(0, 4)
par2.set_ylim(1, 65)
host.legend()
host.axis["left"].label.set_color(p1.get_color())
par1.axis["right"].label.set_color(p2.get_color())
par2.axis["right2"].label.set_color(p3.get_color())
plt.show()
|