要使用每个子图的图像设置颜色条，您可以使用fig.colorbar()为整个图形创建一个颜色条，并将img_no_speak对象作为可Map参数传入。下面是一个示例，并使用Librosa的波形生成图像：

import librosa
import matplotlib.pyplot as plt
import numpy as np

# Load trumpet signal for both cases
y, sr = librosa.load(librosa.ex("trumpet"))
mel_spec_no_speak = librosa.feature.melspectrogram(y=y, sr=sr)
y, sr = librosa.load(librosa.ex("trumpet"))
mel_spec_speak = librosa.feature.melspectrogram(y=y, sr=sr)

# Transform
D = np.abs(librosa.stft(y)) ** 2
S = librosa.feature.melspectrogram(S=D, sr=sr)

# Create figure, set up figure size in inches
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5))

# Turn to dB, and show
S_dB = librosa.power_to_db(mel_spec_no_speak, ref=np.max)
img_no_speak = librosa.display.specshow(
    S_dB, x_axis="time", y_axis="mel", sr=sr, fmax=8000, ax=ax1
)
ax1.set(title="No Speak")

# Turn to dB, and show
S_dB = librosa.power_to_db(mel_spec_speak, ref=np.max)
img_speak = librosa.display.specshow(
    S_dB, x_axis="time", y_axis="mel", sr=sr, fmax=8000, ax=ax2
)
ax2.set(title="Speak")

# Global colorbar
fig.colorbar(img_no_speak, ax=[ax1, ax2], format="%+2.0f dB")

# Show
plt.show()

要放大图形绘图大小，可以在创建图形时将figsize参数传递给subplots()函数。例如，要创建宽12英寸、高6英寸的图形，可以使用figsize=(12, 6)：

fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 6))