[英]How can I have a stacked plot with a shared X axis and multiple Y axis on one of the plots?
我正在嘗試修改此示例,因此在頂部還具有共享相同X軸的第二個圖。 不幸的是,目前尚不清楚如何向該結構添加子圖。 我試圖直接結合一個不同的示例,但它僅創建了兩個數字。
如何放置另一個從X軸相同的X軸上分開的圖?
"""
Parasite axis demo
The following code is an example of a parasite axis. It aims to show a user how
to plot multiple different values onto one single plot. Notice how in this
example, par1 and par2 are both calling twinx meaning both are tied directly to
the x-axis. From there, each of those two axis can behave separately from the
each other, meaning they can take on separate values from themselves as well as
the x-axis.
"""
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
import matplotlib.pyplot as plt
host = host_subplot(111, axes_class=AA.Axes)
plt.subplots_adjust(right=0.75)
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))
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())
## Attempts to add stacked plot on top
f, axarr = plt.subplots(2, sharex=True)
axarr[1].plot([0,1,2], [5,6,7])
axarr[1].set_title('Sharing X axis')
plt.draw()
plt.show()
您可以創建一個新的主機子圖並共享xaxis。
用host = host_subplot(211, axes_class=AA.Axes)
替換host = host_subplot(111, axes_class=AA.Axes)
host = host_subplot(211, axes_class=AA.Axes)
替換行## Attempts to add stacked plot on top
下方的行, ## Attempts to add stacked plot on top
host2 = host_subplot(212, axes_class=AA.Axes, sharex=host)
host2.plot([0,1,2], [5,6,7])
host2.set_title('Sharing X axis')
plt.tight_layout()
plt.draw()
plt.show()
這導致
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