我想做的是添加一个颜色条(在下图的右侧),该颜色条将显示两个子图的颜色条(它们的比例相同).

另一件事对我来说真的没有意义,就是为什么我尝试在代码末尾绘制的线没有绘制(它们应该是两个图中心的水平线)

谢谢您的帮助.

这是代码：

 idx=0
b=plt.psd(dOD[:,idx],Fs=self.fs,NFFT=512)
B=np.zeros((2*len(self.Chan),len(b[0])))
B[idx,:]=20*log10(b[0])

c=plt.psd(dOD_filt[:,idx],Fs=self.fs,NFFT=512)
C=np.zeros((2*len(self.Chan),len(b[0])))
C[idx,:]=20*log10(c[0])

for idx in range(2*len(self.Chan)):
    b=plt.psd(dOD[:,idx],Fs=self.fs,NFFT=512)
    B[idx,:]=20*log10(b[0])

    c=plt.psd(dOD_filt[:,idx],Fs=self.fs,NFFT=512)
    C[idx,:]=20*log10(c[0])

## Calculate the color scaling for the imshow()    
aux1 = max(max(B[i,:]) for i in range(size(B,0)))
aux2 = min(min(B[i,:]) for i in range(size(B,0)))
bux1 = max(max(C[i,:]) for i in range(size(C,0)))
bux2 = min(min(C[i,:]) for i in range(size(C,0)))
scale1 = 0.75*max(aux1,bux1)
scale2 = 0.75*min(aux2,bux2)


fig, axes = plt.subplots(nrows=2, ncols=1,figsize=(7,7))#,sharey='True')
fig.subplots_adjust(wspace=0.24, hspace=0.35)

ii=find(c[1]>=frange)[0]
## Making the plots
cax=axes[0].imshow(B, origin = 'lower',vmin=scale2,vmax=scale1)
axes[0].set_ylim((0,2*len(self.Chan)))
axes[0].set_xlabel(' Frequency (Hz) ')
axes[0].set_ylabel(' Channel Number ') 
axes[0].set_title('Pre-Filtered')
cax2=axes[1].imshow(C, origin = 'lower',vmin=scale2,vmax=scale1)
axes[1].set_ylim(0,2*len(self.Chan))
axes[1].set_xlabel(' Frequency (Hz) ')
axes[1].set_ylabel(' Channel Number ')
axes[1].set_title('Post-Filtered')

axes[0].annotate('690nm', xy=((ii+1)/2, len(self.Chan)/2-1), 
        xycoords='data', va='center', ha='right')
axes[0].annotate('830nm', xy=((ii+1)/2, len(self.Chan)*3/2-1 ), 
        xycoords='data', va='center', ha='right')
axes[1].annotate('690nm', xy=((ii+1)/2, len(self.Chan)/2-1), 
        xycoords='data', va='center', ha='right')
axes[1].annotate('830nm', xy=((ii+1)/2, len(self.Chan)*3/2-1 ), 
        xycoords='data', va='center', ha='right')


axes[0].axis('tight')
axes[1].axis('tight')


## Set up the xlim to aprox frange Hz
axes[0].set_xlim(left=0,right=ii)
axes[1].set_xlim(left=0,right=ii)

## Make the xlabels become the actual frequency number
ticks = linspace(0,ii,10)
tickslabel = linspace(0.,frange,10)
for i in range(10):
    tickslabel[i]="%.1f" % tickslabel[i]
axes[0].set_xticks(ticks)
axes[0].set_xticklabels(tickslabel)
axes[1].set_xticks(ticks)
axes[1].set_xticklabels(tickslabel)

## Draw a line to separate the two different wave lengths, and name each region
l1 = Line2D([0,frange],[28,28],ls='-',color='black')
axes[0].add_line(l1)
axes[1].add_line(l1)    

这是它的图形：

如果需要更多信息,请询问.

解决方法:

基本上,figure.colorbar()对于两个图像都适用,只要它们的比例没有太大差异即可.因此,您可以让matplotlib为您做到这一点…或者您将色条手动定位在图像内的轴上.这是控制颜色条位置的方法：

import numpy as np
from matplotlib import pyplot as plt

A = np.random.random_integers(0, 10, 100).reshape(10, 10)
B = np.random.random_integers(0, 10, 100).reshape(10, 10)

fig = plt.figure()
ax1 = fig.add_subplot(221)
ax2 = fig.add_subplot(222)

mapable = ax1.imshow(A, interpolation="nearest")
cax = ax2.imshow(A, interpolation="nearest")

# set the tickmarks *if* you want cutom (ie, arbitrary) tick labels:
cbar = fig.colorbar(cax, ax=None)

fig = plt.figure(2)
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
mapable = ax1.imshow(A, interpolation="nearest")
cax = ax2.imshow(A, interpolation="nearest")
# on the figure total in precent l    b      w , height 
ax3 = fig.add_axes([0.1, 0.1, 0.8, 0.05]) # setup colorbar axes. 
# put the colorbar on new axes
cbar = fig.colorbar(mapable,cax=ax3,orientation='horizontal')

plt.show()

当然,您可以将ax3随意放置在侧面,顶部,任何地方,
只要在图的边界内即可.

我不知道为什么您的line2D没有出现.

我在plt.show()之前添加了以下代码,一切都显示出来了：

from mpl_toolkits.axes_grid1 import anchored_artists
from matplotlib.patheffects import withStroke
txt = anchored_artists.AnchoredText("SC",
                                    loc=2,
                                    frameon=False,
                                    prop=dict(size=12))
if withStroke:
    txt.txt._text.set_path_effects([withStroke(foreground="w",
                                               linewidth=3)])
ax1.add_artist(txt)


## Draw a line to separate the two different wave lengths, and name each region
l1 = plt.Line2D([-1,10],[5,5],ls='-',color='black',lineswidth=10)
ax1.add_line(l1)