Python中的 Matplotlib.figure.Figure.add_artist()

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.add_artist()函数

matplotlib 库的 add_artist() 方法图形模块用于将任何艺术家添加到图形中。

Syntax: add_artist(self, artist, clip=False)

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

• artist : This parameter is the artist to add to the figure.
• clip : This parameter is used to determines whether the added artist should be clipped by the figure patch.

Returns: This method return the added Artist

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

示例 1：

# Implementation of matplotlib function
import numpy as np
np.random.seed(19680801)
import matplotlib.pyplot as plt
   
      
fig, ax = plt.subplots()
  
volume = np.random.rayleigh(27, size = 40)
amount = np.random.poisson(10, size = 40)
ranking = np.random.normal(size = 40)
price = np.random.uniform(1, 10, size = 40)
   
scatter = ax.scatter(volume * 2,
                     amount * 3, 
                     c = ranking * 3,
                     s = 0.3*(price * 3)**2,
                     vmin =-4,
                     vmax = 4,
                     cmap ="Spectral")
  
legend1 = ax.legend(*scatter.legend_elements(num = 5),
                    loc ="upper left", title ="Ranking")
  
fig.add_artist(legend1)
   
kw = dict(prop ="sizes",
          num = 5,
          color = scatter.cmap(0.7),
          fmt =" {x:.2f}",
          func = lambda s: np.sqrt(s/.3)/3)
  
legend2 = ax.legend(*scatter.legend_elements(**kw),
                    loc ="lower right", title ="Size")
   
fig.suptitle('matplotlib.figure.Figure.add_artist() \
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:
    fig.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.suptitle('matplotlib.figure.Figure.add_artist()\
 function Example\n\n', fontweight ="bold")
  
plt.show()

输出：