在matplotlib中同时显示2个图而不是一个接一个 [英] Show 2 plots at same time instead of one after another in matplotlib

问题描述

我有以下代码，该代码首先显示了matplotlib图.然后，我必须关闭第一个图，以便出现第二个图.

I have the following code which shows a matplotlib plot first. Then, I have to close the first plot so that the second plot appears.

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import mglearn

# generate dataset
X, y = mglearn.datasets.make_forge()
# plot dataset
mglearn.discrete_scatter(X[:, 0], X[:, 1], y)
plt.legend(["Class 0", "Class 1"], loc=4)
plt.xlabel("First feature")
plt.ylabel("Second feature")
print("X.shape: {}".format(X.shape))

plt.show()

X, y = mglearn.datasets.make_wave(n_samples=40)
plt.plot(X, y, 'o')
plt.ylim(-3, 3)
plt.xlabel("Feature")
plt.ylabel("Target")

plt.show()

我希望同时出现 2 个 matplotlib 图.

I would like to have the 2 matplotlib plots appear at the same time.

推荐答案

plt.show() 绘制出现在状态机中的所有图形.仅在脚本末尾调用它，可确保绘制所有先前创建的图形.

plt.show() plots all the figures present in the state machine. Calling it only at the end of the script, ensures that all previously created figures are plotted.

现在您需要确保每个图确实是在不同的图形中创建的.这可以使用 plt.figure(fignumber) 实现，其中 fignumber 是从索引 1 开始的数字.

Now you need to make sure that each plot indeed is created in a different figure. That can be achieved using plt.figure(fignumber) where fignumber is a number starting at index 1.

import matplotlib.pyplot as plt
import mglearn

# generate dataset
X, y = mglearn.datasets.make_forge()

plt.figure(1)
mglearn.discrete_scatter(X[:, 0], X[:, 1], y)
plt.legend(["Class 0", "Class 1"], loc=4)
plt.xlabel("First feature")
plt.ylabel("Second feature")


plt.figure(2)
X, y = mglearn.datasets.make_wave(n_samples=40)
plt.plot(X, y, 'o')
plt.ylim(-3, 3)
plt.xlabel("Feature")
plt.ylabel("Target")

plt.show()

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