Python中的 Matplotlib.pyplot.subplots()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 Pyplot是Matplotlib模块的基于状态的接口，它提供了一个类似 MATLAB 的接口。

示例代码

# sample code
import matplotlib.pyplot as plt 
    
plt.plot([1, 2, 3, 4], [16, 4, 1, 8]) 
plt.show() 

输出：

matplotlib.pyplot.subplots()函数

matplotlib 库的 pyplot 模块中的 subplots ()函数用于创建一个图形和一组子图。

Syntax: matplotlib.pyplot.subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True, subplot_kw=None, gridspec_kw=None, **fig_kw)

Parameters: This method accept the following parameters that are described below:

• nrows, ncols : These parameter are the number of rows/columns of the subplot grid.
• sharex, sharey : These parameter controls sharing of properties among x (sharex) or y (sharey) axes.
• squeeze : This parameter is an optional parameter and it contains boolean value with default as True.
• num: This parameter is the pyplot.figure keyword that sets the figure number or label.
• subplot_kwd: This parameter is the dict with keywords passed to the add_subplot call used to create each subplot.
• gridspec_kw: This parameter is the dict with keywords passed to the GridSpec constructor used to create the grid the subplots are placed on.

Returns: This method return the following values.

• fig : This method return the figure layout.
• ax : This method return the axes.Axes object or array of Axes objects.

下面的示例说明了 matplotlib.pyplot 中的 matplotlib.pyplot.subplots()函数：

示例 #1：

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
  
# First create some toy data:
x = np.linspace(0, 2 * np.pi, 400)
y = np.sin(x**2)
  
fig, ax = plt.subplots()
ax.plot(x, y)
ax.set_title('Simple plot')
  
  
fig.suptitle('matplotlib.pyplot.subplots() Example')
plt.show()

输出：

示例 #2：

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
  
# First create some toy data:
x = np.linspace(0, 1.5 * np.pi, 100)
y = np.sin(x**2)+np.cos(x**2)
  
fig, axs = plt.subplots(2, 2,
                        subplot_kw = dict(polar = True))
axs[0, 0].plot(x, y)
axs[1, 1].scatter(x, y)
  
fig.suptitle('matplotlib.pyplot.subplots() Example')
plt.show()

输出：