Python中的 Matplotlib.figure.Figure.get_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.get_constrained_layout_pads() 方法

matplotlib 库的图形模块的 get_constrained_layout_pads() 方法用于获取 constrained_layout 的填充。

Syntax: get_constrained_layout_pads(self, relative=False)

Parameters: This method does not accept any parameters.

Returns: This method returns a list of w_pad, h_pad in inches and wspace and hspace as fractions of the subplot.

下面的示例说明了 matplotlib.figure 中的 matplotlib.figure.Figure.get_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())
  
print("Value return by get_constrained_layout_pads() ")
w = list(fig.get_constrained_layout_pads())
  
print("w_pad :", w[0])
print("h_pad  :", w[1])
print("wspace  :", w[2])
print("hspace  :", w[3])
   
fig.suptitle('matplotlib.figure.Figure.get_constrained_layout_pads() \
function Example\n\n', fontweight ="bold")
  
plt.show()

输出：

Value return by get_constrained_layout_pads() 
w_pad : 0.04167
h_pad  : 0.04167
wspace  : 0.02
hspace  : 0.02

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)
  
print("Value return by get_constrained_layout_pads() ")
w = list(fig.get_constrained_layout_pads())
  
print("w_pad :", w[0])
print("h_pad  :", w[1])
print("wspace  :", w[2])
print("hspace  :", w[3])
   
fig.suptitle('matplotlib.figure.Figure.get_constrained_layout_pads() \
function Example\n\n', fontweight ="bold")
  
plt.show()

输出：

Value return by get_constrained_layout_pads() 
w_pad : 0.04167
h_pad  : 0.04167
wspace  : 0.02
hspace  : 0.02