Matplotlib-可以制作带有寄生轴的子图吗? [英] Matplotlib - Possible to make sub plots with parasite axes?
问题描述
我正在尝试制作包含两个子图的图表，每个子图都有一个寄生轴，如文档
对不起，我在做蠢事！
非常感谢，亚历克斯
您在那里犯了一些小错误.首先是 plt.subplot() 命令，其中覆盖了您的 host_subplot() 命令(请参阅
希望这会有所帮助.
I'm trying to make a chart with two subplots, each of which has a parasite axis, as shown in the documentation here. However, although I can replicate the example with a single plot, it doesn't seem to work with 2 subplots. Is Matplotlib even capable of doing this?
Here is my code:
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
host = host_subplot(111, axes_class=AA.Axes)
plt.subplots_adjust(right=0.75)
plt.subplot(2,1,1)
par1 = host.twinx()
par2 = host.twinx()
offset = 60
new_fixed_axis = par2.get_grid_helper().new_fixed_axis
par2.axis["right"] = new_fixed_axis(loc="right",
axes=par2,
offset=(offset, 0))
par1.axis["right"].toggle(all=True)
par2.axis["right"].toggle(all=True)
host.set_xlim(0, 2)
host.set_ylim(0, 2)
host.set_xlabel("Distance")
host.set_ylabel("Density")
par1.set_ylabel("Temperature")
par2.set_ylabel("Velocity")
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["right"].label.set_color(p3.get_color())
#####2#####
plt.subplot(2,1,2)
par1 = host.twinx()
par2 = host.twinx()
offset = 60
new_fixed_axis = par2.get_grid_helper().new_fixed_axis
par2.axis["right"] = new_fixed_axis(loc="right",
axes=par2,
offset=(offset, 0))
par1.axis["right"].toggle(all=True)
par2.axis["right"].toggle(all=True)
host.set_xlim(0, 2)
host.set_ylim(0, 2)
host.set_xlabel("Distance")
host.set_ylabel("Density")
par1.set_ylabel("Temperature")
par2.set_ylabel("Velocity")
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["right"].label.set_color(p3.get_color())
plt.draw()
plt.show()
When I run that I just end up with a blank set of subplots:
Sorry if I'm doing something dumb!
Thanks a lot, Alex
You had a few small mistakes in there. First of all the plt.subplot() commands where overriding your host_subplot() commands (see the note in the matplotlib.pyplot.subplot() documentation: "Creating a subplot will delete any pre-existing subplot that overlaps with it beyond sharing a boundary"). Further, you have to track the instances for the two plots separately. I solved it like this that I created host1, par11, and par12 for the first Axes and host2, par21, and par22 for the second Axes. The entire code now looks like this:
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
fig = plt.figure()
host1 = host_subplot(211, axes_class=AA.Axes)
plt.subplots_adjust(right=0.75)
par11 = host1.twinx()
par12 = host1.twinx()
offset = 60
new_fixed_axis = par12.get_grid_helper().new_fixed_axis
par12.axis["right"] = new_fixed_axis(loc="right",
axes=par12,
offset=(offset, 0))
par11.axis["right"].toggle(all=True)
par12.axis["right"].toggle(all=True)
host1.set_xlim(0, 2)
host1.set_ylim(0, 2)
host1.set_xlabel("Distance")
host1.set_ylabel("Density")
par11.set_ylabel("Temperature")
par12.set_ylabel("Velocity")
p1, = host1.plot([0, 1, 2], [0, 1, 2], label="Density")
p2, = par11.plot([0, 1, 2], [0, 3, 2], label="Temperature")
p3, = par12.plot([0, 1, 2], [50, 30, 15], label="Velocity")
par11.set_ylim(0, 4)
par12.set_ylim(1, 65)
host1.legend()
host1.axis["left"].label.set_color(p1.get_color())
par11.axis["right"].label.set_color(p2.get_color())
par12.axis["right"].label.set_color(p3.get_color())
#####2#####
host2 = host_subplot(212, axes_class=AA.Axes)
plt.subplots_adjust(right=0.75)
par21 = host2.twinx()
par22 = host2.twinx()
offset = 60
new_fixed_axis = par22.get_grid_helper().new_fixed_axis
par22.axis["right"] = new_fixed_axis(loc="right",
axes=par22,
offset=(offset, 0))
par21.axis["right"].toggle(all=True)
par22.axis["right"].toggle(all=True)
host2.set_xlim(0, 2)
host2.set_ylim(0, 2)
host2.set_xlabel("Distance")
host2.set_ylabel("Density")
par21.set_ylabel("Temperature")
par22.set_ylabel("Velocity")
p1, = host2.plot([0, 1, 2], [0, 1, 2], label="Density")
p2, = par21.plot([0, 1, 2], [0, 3, 2], label="Temperature")
p3, = par22.plot([0, 1, 2], [50, 30, 15], label="Velocity")
par21.set_ylim(0, 4)
par22.set_ylim(1, 65)
host2.legend()
host2.axis["left"].label.set_color(p1.get_color())
par21.axis["right"].label.set_color(p2.get_color())
par22.axis["right"].label.set_color(p3.get_color())
fig.tight_layout()
plt.draw()
plt.show()
And here is the result:
Hope this helps.
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