Python 如何在pyplot中绘制连接子图的线？

我想在pyplot中的子图之间创建线，如这里的红色虚线所示（在pdf编辑器中添加）

我已经阅读了关于connectionpatch的文档，但我很难理解这些示例，以便将其转换为我的特定案例。对于我的例子，我已经包括了我的代码的简化版本，在相关的情况下使用相同的轴结构。如何在子地块之间创建这些虚线

import numpy as np
import matplotlib.pyplot as plt

# Create a 2 x 2 grid: (row, column) 
fig, ax = plt.subplots(2,2) 

# Create a subplot to share common x and y labels
fig.add_subplot(111, frameon=False)
plt.tick_params(
top='off', 
bottom='off', 
left='off', 
right='off')
plt.grid(False)
plt.xlabel('x')
plt.ylabel('function(x)')

# x-axis
x = np.linspace(0,2*np.pi,100)

# Top left
ax[0,0].tick_params(
axis='both',       
which='both',     
bottom=False,      
left=False,
top=False,         
right=False,
labelbottom=False, 
labelleft=False,)
ax[0,0].plot(x,np.sin(x),color='grey')

# Top Right
ax[0,1].tick_params(
axis='both',       
which='both',      
bottom=False,   
left=False,
top=False,        
right=False,
labelbottom=False, 
labelleft=False,)
ax[0,1].plot(x,np.sin(2*x),color='grey')


# Bottom Left
ax[1,0].tick_params(
axis='both',       
which='both',      
bottom=False,      
left=False,
top=False,         
right=False,
labelbottom=False, 
labelleft=False,)
ax[1,0].plot(x,np.cos(x), color='black')

# Bottom Right
ax[1,1].tick_params(
axis='both',      
which='both',     
bottom=False,      
left=False,
top=False,         
right=False,
labelbottom=False, 
labelleft=False,)
ax[1,1].plot(x,np.cos(2*x), color='black')

plt.tight_layout(h_pad=2.5)

显示了如何使用连接两个轴。对于您的情况，您可以这样做：

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import ConnectionPatch

fig, axes = plt.subplots(2,2) 

# Create a subplot to share common x and y labels
frameax = fig.add_subplot(111, frameon=False)
frameax.grid(False)
frameax.set_xlabel('x', labelpad=10)
frameax.set_ylabel('function(x)',labelpad=10)

for ax in list(axes.flat) + [frameax]:
    ax.tick_params(axis='both', which='both', 
                   bottom=False, left=False, top=False, right=False,
                   labelbottom=False, labelleft=False)

# x-axis
x = np.linspace(0,2*np.pi,100)

axes[0,0].plot(x,np.sin(x),color='grey')
axes[0,1].plot(x,np.sin(2*x),color='grey')
axes[1,0].plot(x,np.cos(x), color='black')
axes[1,1].plot(x,np.cos(2*x), color='black')

kw = dict(linestyle="--", color="red")
cp1 = ConnectionPatch((.5, 0), (.5, 1), "axes fraction", "axes fraction",
                      axesA=axes[0,0], axesB=axes[1,0], **kw)
cp2 = ConnectionPatch((.5, 0), (.5, 1), "axes fraction", "axes fraction",
                      axesA=axes[0,1], axesB=axes[1,1], **kw)

for cp in (cp1, cp2):
    axes[1,1].add_artist(cp)

plt.show()

显示了如何使用a连接两个轴。对于您的情况，您可以这样做：

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import ConnectionPatch

fig, axes = plt.subplots(2,2) 

# Create a subplot to share common x and y labels
frameax = fig.add_subplot(111, frameon=False)
frameax.grid(False)
frameax.set_xlabel('x', labelpad=10)
frameax.set_ylabel('function(x)',labelpad=10)

for ax in list(axes.flat) + [frameax]:
    ax.tick_params(axis='both', which='both', 
                   bottom=False, left=False, top=False, right=False,
                   labelbottom=False, labelleft=False)

# x-axis
x = np.linspace(0,2*np.pi,100)

axes[0,0].plot(x,np.sin(x),color='grey')
axes[0,1].plot(x,np.sin(2*x),color='grey')
axes[1,0].plot(x,np.cos(x), color='black')
axes[1,1].plot(x,np.cos(2*x), color='black')

kw = dict(linestyle="--", color="red")
cp1 = ConnectionPatch((.5, 0), (.5, 1), "axes fraction", "axes fraction",
                      axesA=axes[0,0], axesB=axes[1,0], **kw)
cp2 = ConnectionPatch((.5, 0), (.5, 1), "axes fraction", "axes fraction",
                      axesA=axes[0,1], axesB=axes[1,1], **kw)

for cp in (cp1, cp2):
    axes[1,1].add_artist(cp)

plt.show()

---

这很有效，谢谢。谢谢你帮我清理了我的虱子。这很有效，谢谢你。还有清理我的虱子。