subplots()使用方法举例说明

plt.subplots()

plt.subplots() 和 plt.subplot() 功能作用非常相似。
matplotlib.pyplot.subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True, subplot_kw=None, gridspec_kw=None, **fig_kw)
部分参数介绍：
nrows, ncols : int, optional, default: 1
Number of rows/columns of the subplot grid.
可以手动输出几行几列，默认是1行1列
sharex, sharey : bool or {‘none’, ‘all’, ‘row’, ‘col’}, default: False
可以选择共享x轴或者y轴：

1. True or ‘all’: x- or y-axis will be shared among all subplots.
2. False or ‘none’: each subplot x- or y-axis will be independent.
3. ‘row’: each subplot row will share an x- or y-axis.
4. ‘col’: each subplot column will share an x- or y-axis.
   num : integer or string, optional, default: None
   A pyplot.figure keyword that sets the figure number or label.选择生成几个figure

demo

import matplotlib.pyplot as plt
import numpy as np

#First create some toy data:
x = np.linspace(0, 2*np.pi, 400)
y = np.sin(x**2)

#Creates just a figure and only one subplot
fig, ax = plt.subplots() # 创建一个子图
ax.plot(x, y)
ax.set_title('Simple plot')

plt.show() # 图1

#Creates two subplots and unpacks the output array immediately
f, (ax1, ax2) = plt.subplots(1, 2, sharey=True)
ax1.plot(x, y)
ax1.set_title('Sharing Y axis')
ax2.scatter(x, y)

plt.show() # 图2

#Creates four polar axes, and accesses them through the returned array
fig, axes = plt.subplots(2, 2, subplot_kw=dict(polar=True))
axes[0, 0].plot(x, y)
axes[1, 1].scatter(x, y)

plt.show() # 图3

#Share a X axis with each column of subplots 共享各个轴
plt.subplots(2, 2, sharex='col')

#Share a Y axis with each row of subplots
plt.subplots(2, 2, sharey='row')

#Share both X and Y axes with all subplots
plt.subplots(2, 2, sharex='all', sharey='all')

#Note that this is the same as
plt.subplots(2, 2, sharex=True, sharey=True)

#Creates figure number 10 with a single subplot
#and clears it if it already exists.
#fig, ax=plt.subplots(num=10, clear=True)
#plt.show()

生成图像如下：
图1

图2

图3

可以看到，plt.subplots()的功能还是非常强大的。