共享相同颜色条的2x2 Contourf图 [英] 2x2 Contourf plots sharing the same colorbar

问题描述

我想在下面的2x2图的右侧添加一个颜色条.

 将matplotlib.pyplot导入为plt将numpy导入为npx = np.linspace(-np.pi * 2，np.pi * 2，num = 50)y = np.linspace(-np.pi * 2，np.pi * 2，num = 50)def fun(x，y，pw1，pw2):X，Y = np.meshgrid(x，y)返回(X，Y，np.cos(X * Y)** pw1 + np.sin(X + Y)** pw2)X，Y，f01 = fun(x，y，0,1)X，Y，f10 = fun(x，y，1,0)X，Y，f11 = fun(x，y，1,1)X，Y，f12 = fun(x，y，1,2)fig1，axs = plt.subplots(行数= 2，ncols = 2，figsize =(8,8)，sharex ='col'，sharey ='row')(ax1，ax2)，(ax3，ax4)= axs等级= np.linspace(-2，2，10)cs1 = ax1.contourf(X，Y，f01，level = levels，cmap = cmap)ax1.set_ylabel('angle y'，fontsize = 16)ax1.tick_params(labelsize = 14)ax1.set_title('干扰等级1'，fontsize = 14)ax1.set_aspect('等于')cs2 = ax2.contourf(X，Y，f10，level = levels，cmap = cmap)ax2.set_title('干扰等级2'，fontsize = 14)ax2.set_aspect('等于')cs3 = ax3.contourf(X，Y，f11，level = levels，cmap = cmap)ax3.set_ylabel('angle y'，fontsize = 16)ax3.set_xlabel('angle x'，fontsize = 16)ax3.tick_params(labelsize = 14)ax3.set_title('干扰等级3'，fontsize = 14)ax3.set_aspect('等于')cs4 = ax4.contourf(X，Y，f12，level = levels，cmap = cmap)ax4.set_xlabel('angle x'，fontsize = 16)ax4.tick_params(labelsize = 14)ax4.set_title('干扰等级4'，fontsize = 14)ax4.set_aspect('等于')plt.tight_layout()plt.show() 

我一直在审查上一个问题的解决方案

I would like to add a single color bar on the right side of the following 2x2 plot.

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(-np.pi*2, np.pi*2, num=50)
y = np.linspace(-np.pi*2, np.pi*2, num=50)
def fun(x, y, pw1, pw2):
    X,Y = np.meshgrid(x, y)
    return (X, Y, np.cos(X*Y)**pw1 + np.sin(X+Y)**pw2)

X, Y, f01 = fun(x,y,0,1)
X, Y, f10 = fun(x,y,1,0)
X, Y, f11 = fun(x,y,1,1)
X, Y, f12 = fun(x,y,1,2)

fig1, axs = plt.subplots(nrows=2,ncols=2, figsize=(8,8),sharex='col', sharey='row')
(ax1, ax2), (ax3, ax4) = axs

levels = np.linspace(-2, 2, 10)
cs1 = ax1.contourf(X, Y, f01, levels=levels, cmap=cmap)
ax1.set_ylabel('angle y', fontsize=16)
ax1.tick_params(labelsize=14)
ax1.set_title('Interference level 1', fontsize=14)
ax1.set_aspect('equal')

cs2 = ax2.contourf(X, Y, f10, levels=levels, cmap=cmap)
ax2.set_title('Interference level 2', fontsize=14)
ax2.set_aspect('equal')

cs3 = ax3.contourf(X, Y, f11, levels=levels, cmap=cmap)
ax3.set_ylabel('angle y', fontsize=16)
ax3.set_xlabel('angle x', fontsize=16)
ax3.tick_params(labelsize=14)
ax3.set_title('Interference level 3', fontsize=14)
ax3.set_aspect('equal')

cs4 = ax4.contourf(X, Y, f12, levels=levels, cmap=cmap)
ax4.set_xlabel('angle x', fontsize=16)
ax4.tick_params(labelsize=14)
ax4.set_title('Interference level 4', fontsize=14)
ax4.set_aspect('equal')

plt.tight_layout()
plt.show()

I have been reviewing the solutions of previous question Matplotlib 2 Subplots, 1 Colorbar . However, I have four contourf() subplots, whereas the posted solutions use imshow() plot.

# im = imshow 
print(im)
AxesImage(223.004,36;98.8364x98.8364)

# Axes
print(ax1)
AxesSubplot(0.0896322,0.541995;0.436434x0.408005)

# Contourf 
print(cs1)
<matplotlib.contour.QuadContourSet object at 0x17d398940>

I do not know how to apply the previous solutions with the ax and cs object of my plot.

解决方案

IIUC, you can just pass axs into colorbar:

plt.tight_layout()
plt.colorbar(cs4, ax=axs)
plt.show()

Output:

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