Python中的 Matplotlib.pyplot.subplots_adjust()

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。在 Pyplot 中可以使用各种图，包括线图、等高线图、直方图、散点图、3D 图等。

matplotlib.pyplot.subplots_adjust()函数

matplotlib 库的 pyplot 模块中的 subplots_adjust ()函数用于调整子图布局。

Syntax: matplotlib.pyplot.subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=None, hspace=None)

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

• left : This parameter is the left side of the subplots of the figure.
• right : This parameter is the right side of the subplots of the figure.
• bottom : This parameter is the bottom of the subplots of the figure.
• top : This parameter is the top of the subplots of the figure.
• wspace : This parameter is the amount of width reserved for space between subplots expressed as a fraction of the average axis width.
• hspace : This parameter is the amount of height reserved for space between subplots expressed as a fraction of the average axis height.

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

示例 1：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
   
  
x = [1, 12, 3, 9]
y = [1, 4, 9, 16]
labels = ['Geeks1', 'Geeks2', 'Geeks3', 'Geeks4']
   
plt.plot(x, y)
plt.xticks(x, labels, rotation ='vertical')
  
plt.margins(0.2)
plt.subplots_adjust(bottom = 0.15)
  
plt.title('matplotlib.pyplot.subplots_adjust() Example')
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import TextBox
  
  
fig, ax = plt.subplots()
plt.subplots_adjust(bottom = 0.2)
t = np.arange(-2.0, 2.0, 0.001)
s = np.sin(t)+np.cos(2 * t)
initial_text = "sin(t) + cos(2t)"
l, = plt.plot(t, s, lw = 2)
  
def submit(text):
      
    ydata = eval(text)
    l.set_ydata(ydata)
    ax.set_ylim(np.min(ydata), np.max(ydata))
    plt.draw()
  
axbox = plt.axes([0.4, 0.05, 0.3, 0.075])
text_box = TextBox(axbox, 'Formula Used : ', 
                   initial = initial_text)
  
text_box.on_submit(submit)
  
fig.suptitle('matplotlib.pyplot.subplots_adjust() Example')
plt.show()

输出：