Python中的 Matplotlib.figure.Figure.draw_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.draw_artist()函数

matplotlib库的figure模块的draw_artist()方法只用于绘制matplotlib.artist.Artist实例a。

Syntax: draw_artist(self, a)

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

• a: This parameter is the artist.

Returns: This method does not return any value.

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

示例 1：

# Implementation of matplotlib function 
from random import randint, choice
import time
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
   
  
back_color = "black"
colors = ['red', 'green', 'blue', 'purple']
width, height = 4, 4
   
fig, ax = plt.subplots()
ax.set(xlim =[0, width], ylim =[0, height])
   
fig.canvas.draw()
   
def update():
    x = randint(0, width - 1)
    y = randint(0, height - 1)
   
    arti = mpatches.Rectangle(
        (x, y), 1, 1,
        facecolor = choice(colors),
        edgecolor = back_color
    )
    ax.add_artist(arti)
   
    start = time.time()
    fig.draw_artist(arti)
    fig.canvas.blit(ax.bbox)
    print("Draw at time :", time.time() - start)
   
timer = fig.canvas.new_timer(interval = 1)
timer.add_callback(update)
timer.start()
  
fig.suptitle('matplotlib.figure.Figure.draw_artist() \
function Example') 
  
plt.show()

输出：

Draw at time : 0.2968637943267822
Draw at time : 0.031249523162841797
Draw at time : 0.015642404556274414
Draw at time : 0.015624523162841797
Draw at time : 0.015607357025146484
Draw at time : 0.015637636184692383
....
...
so on.

示例 2：

# Implementation of matplotlib function 
import matplotlib.pyplot as plt
import numpy as np
import time
   
fig, ax = plt.subplots()
line, = ax.plot(np.random.randn(100))
   
tstart = time.time()
num_plots = 0
fig.canvas.draw()
  
while time.time()-tstart < 5:
    line.set_ydata(np.random.randn(100))
    fig.draw_artist(ax.patch)
    fig.draw_artist(line)
    num_plots += 1
      
fig.suptitle('matplotlib.figure.Figure.draw_artist()\
 function Example') 
  
plt.show()

输出：