多个子图右边的唯一颜色条

问题描述 投票:0回答:1

我正在尝试向一组2x2的子图添加唯一的颜色条,我希望它位于集合的右侧。正如您在代码的最后几行中看到的那样,我已经能够生成颜色栏,但是结果是它显示在最后一个面板的右侧(请参见下图)。有人可以帮我找到解决方案吗?

import os
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib import cm
import pandas as pd
mark=['-o','-s','-o','-^','-s']
Axs=['ax1','ax2','ax3','ax4']
RadiLabel=['5','7','10','15']
Lambda=np.arange(10,20,1)
print(Lambda[:])

Num_Colors=int(len(Lambda))
print(Num_Colors)
cm = plt.get_cmap('viridis_r')
# viridis,plasma,inferno,magma,gist_rainbow,gnuplot,autumn,Blues

mpl.rcParams['xtick.direction'] = 'in'
mpl.rcParams['ytick.direction'] = 'in'
mpl.rcParams['xtick.major.size'] = 15
mpl.rcParams['xtick.minor.size'] = 5
mpl.rcParams['ytick.major.size'] = 15
mpl.rcParams['ytick.minor.size'] = 5
mpl.rcParams['font.family'] = 'Calibri'

fig = plt.figure(figsize=(12,9))
#fig.subplots_adjust(right=0.8)

ax=fig.add_subplot(111)
ax.set_title('Area', fontsize=20)
plt.axis([0.8,15.2, 0.,0.3])

File= 'SCAli.txt'
data=np.loadtxt(File)
dat=pd.read_fwf("SCAli.txt",header=None,names=["Area","R","L","H"])

k=0
#print(len(Axs))
for j in range(0,len(Axs)):
    k=k+1
    axes=Axs[j]=plt.subplot(2,2,k)
    Axs[j].set_prop_cycle(color=[cm(1.*ii/Num_Colors) for ii in range(Num_Colors)])
    Axs[j].annotate('R= '+RadiLabel[j]+' nm', xy=(0.07, 0.9), xycoords="axes fraction",fontsize=20)

    for i in Lambda:
        dat2=dat.loc[(dat['L'] == i) & (dat['R'] == Radi[j])]
        Axs[j].plot(dat2['H'],dat2['Area'],mark[0],markersize=10,markeredgecolor='black',lw=2)
        plt.xlabel("Height", fontsize=30)
        plt.ylabel("Area", fontsize=30)
        plt.xticks(fontsize=20, rotation=0)
        plt.yticks(fontsize=20, rotation=0)
        Axs[j].minorticks_off()

plt.tight_layout()

# Here we plot the colorbar
sm = plt.cm.ScalarMappable(cmap=cm, norm=plt.Normalize(vmin=1, vmax=2))
cbar=plt.colorbar(sm)
cbar.ax.tick_params(labelsize=20)
cbar.set_label('$\lambda$',size=20)

plt.show()
plt.close()

“我得到的数字”“>

Link to the file SCAli.txt

我正在尝试向一组2x2的子图添加唯一的颜色条,我希望它位于集合的右侧。正如您在...

matplotlib subplot colorbar
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