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Python Matplotlib.figure.Figure.get_constrained_layout_pads()用法及代码示例


Matplotlib是Python中的一个库,它是数字的-NumPy库的数学扩展。 Figure模块提供了顶层Artist,即Figure,其中包含所有绘图元素。此模块用于控制所有图元的子图和顶层容器的默认间距。

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。

用法: get_constrained_layout_pads(self, relative=False)


参数:此方法不接受任何参数。

返回:此方法返回以英寸为单位的w_pad,h_pad列表以及wspace和hspace的列表作为子图的一部分。

以下示例说明了matplotlib.figure中的matplotlib.figure.Figure.get_constrained_layout_pads()函数:

范例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

范例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



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注:本文由纯净天空筛选整理自SHUBHAMSINGH10大神的英文原创作品 Matplotlib.figure.Figure.get_constrained_layout_pads() in Python。非经特殊声明,原始代码版权归原作者所有,本译文未经允许或授权,请勿转载或复制。