如何在多个子图中绘图 [英] How to plot in multiple subplots
本文介绍了如何在多个子图中绘图的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
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?
还有为什么这不能做同样的事情:
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.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()
然而,像这样的东西也可以工作,虽然它不是那么干净",因为你正在创建一个带有子图的图形,然后在它们上面添加:
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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