如何在多个子图中绘制 [英] How to plot in multiple subplots

问题描述

我对这段代码的工作方式有点困惑:

I am a little confused about how this code works:

fig, axes = plt.subplots(nrows=2, ncols=2)
plt.show()

在这种情况下，无花果轴是如何工作的?它有什么作用?

How does the fig, axes work in this case? What does it do?

同样为什么这项工作不能做同样的事情:

Also why wouldn't this work to do the same thing:

fig = plt.figure()
axes = fig.subplots(nrows=2, ncols=2)

推荐答案

有几种方法可以做到这一点.subplots 方法创建图形以及随后存储在 ax 数组中的子图.例如:

There are several ways to do it. The subplots method creates the figure along with the subplots that are then stored in the ax array. For example:

import matplotlib.pyplot as plt

x = range(10)
y = range(10)

fig, ax = plt.subplots(nrows=2, ncols=2)

for row in ax:
    for col in row:
        col.plot(x, y)

plt.show()

但是，类似的方法也可以使用，但并不是很干净"，因为您要创建带有子图的图形，然后在其上添加:

However, something like this will also work, it's not so "clean" though since you are creating a figure with subplots and then add on top of them:

fig = plt.figure()

plt.subplot(2, 2, 1)
plt.plot(x, y)

plt.subplot(2, 2, 2)
plt.plot(x, y)

plt.subplot(2, 2, 3)
plt.plot(x, y)

plt.subplot(2, 2, 4)
plt.plot(x, y)

plt.show()

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