这是一个完整的最小工作示例,它完成了提取和组合多个图中数据所需的所有步骤.

import numpy as np

import pylab as plt

# Create some test data

secret_data_X1 = np.linspace(0,1,100)

secret_data_Y1 = secret_data_X1**2

secret_data_X2 = np.linspace(1,2,100)

secret_data_Y2 = secret_data_X2**2

# Show the secret data

plt.subplot(2,1,1)

plt.plot(secret_data_X1,secret_data_Y1,'r')

plt.plot(secret_data_X2,secret_data_Y2,'b')

# Loop through the plots created and find the x,y values

X,Y = [], []

for lines in plt.gca().get_lines():

for x,y in lines.get_xydata():

X.append(x)

Y.append(y)

# If you are doing a line plot, we don't know if the x values are

# sequential, we sort based off the x-values

idx = np.argsort(X)

X = np.array(X)[idx]

Y = np.array(Y)[idx]

plt.subplot(2,1,2)

plt.plot(X,Y,'g')

plt.show()