Python中的 Matplotlib.figure.Figure.set_constrained_layout_pads()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 figure 模块提供了顶级 Artist，即 Figure，其中包含所有绘图元素。该模块用于控制所有绘图元素的子图和顶级容器的默认间距。

matplotlib.figure.Figure.set_constrained_layout_pads() 方法

matplotlib 库的set_constrained_layout_pads() 方法图模块用于为 constrained_layout 设置填充。

Syntax: set_constrained_layout_pads(self, **kwargs)

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

w_pad : This parameter is the Width padding in inches.
h_pad : This parameter is the height padding in inches.
wspace : This parameter is the Width padding between subplots, expressed as a fraction of the subplot width.
hspace : This parameter is the height padding between subplots, expressed as a fraction of the subplot width.

Returns: This method does not returns any value.

编程需要懂一点英语

下面的示例说明了 matplotlib.figure 中的 matplotlib.figure.Figure.set_constrained_layout_pads()函数：

示例 1：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import numpy as np
from numpy.random import rand
      
      
fig, ax2 = plt.subplots()
      
ax2.bar(range(10), rand(10), picker = True)
for label in ax2.get_xticklabels(): 
    label.set_picker(True)
      
def onpick1(event):
  
    if isinstance(event.artist, Line2D):
        thisline = event.artist
        xdata = thisline.get_xdata()
        ydata = thisline.get_ydata()
        ind = event.ind
        print('onpick1 line:', np.column_stack([xdata[ind], ydata[ind]]))
  
    elif isinstance(event.artist, Rectangle):
        patch = event.artist
        print('onpick1 patch:', patch.get_path())
  
    elif isinstance(event.artist, Text):
        text = event.artist
        print('onpick1 text:', text.get_text())
  
fig.set_constrained_layout_pads(w_pad = 4./72., h_pad = 4./72.,
        hspace = 0., wspace = 0.)
    
fig.suptitle("""matplotlib.figure.Figure.set_constrained_layout_pads()
function Example\n\n""", fontweight ="bold") 
  
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Ellipse
  
      
NUM = 200
      
ells = [Ellipse(xy = np.random.rand(2) * 10,
                width = np.random.rand(),
                height = np.random.rand(),
                angle = np.random.rand() * 360)
        for i in range(NUM)]
      
fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'})
  
for e in ells:
    ax.add_artist(e)
    e.set_clip_box(ax.bbox)
    e.set_alpha(np.random.rand())
    e.set_facecolor(np.random.rand(4))
      
ax.set_xlim(3, 7)
ax.set_ylim(3, 7)
  
fig.set_constrained_layout_pads(w_pad = 2./72., h_pad = 2./72.,
        hspace = 0., wspace = 0.)
    
fig.suptitle("""matplotlib.figure.Figure.set_constrained_layout_pads()
function Example\n\n""", fontweight ="bold") 
  
plt.show()

输出：