Matplotlib是Python中的一個庫，它是數字的-NumPy庫的數學擴展。它是Python中令人驚歎的可視化庫，用於數組的2D圖，並用於與更廣泛的SciPy堆棧配合使用。
Matplotlib.axis.Axis.add_callback()函數
matplotlib庫的axis模塊中的Axis.add_callback()函數用於添加一個回調函數，隻要Artist的一個屬性發生更改，該函數就會被調用。
用法： Artist.add_callback(self, func)
參數：此方法接受以下參數。
- func:此參數是回調函數。
返回值：此方法返回與回調關聯的觀察者ID。
以下示例說明了matplotlib.axis中的matplotlib.axis.Axis.add_callback()函數：
範例1：
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import numpy as np
import time
def update():
plt.get_current_fig_manager()\
.canvas.figure.patch.\
set_facecolor(str(np.random.random()))
plt.draw()
print("Draw at time:", time.time())
def start_animation():
timer = fig.canvas.new_timer(interval = 200)
timer.add_callback(update)
timer.start()
fig, ax = plt.subplots()
start_animation()
ax.set_title('matplotlib.axis.Axis.add_callback() \
function Example', fontweight ="bold")
plt.show() 輸出：
範例2：
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
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)
ax.draw_artist(arti)
fig.canvas.blit(ax.bbox)
print("Draw at time:", time.time())
timer = fig.canvas.new_timer(interval = 1)
timer.add_callback(update)
timer.start()
ax.set_title('matplotlib.axis.Axis.add_callback() \
function Example', fontweight ="bold")
plt.show() 輸出：
Draw at time:1591263025.354224 Draw at time:1591263025.4612164 Draw at time:1591263025.6232233 Draw at time:1591263025.748225 Draw at time:1591263025.8842134 ...... so on...
相關用法
注：本文由純淨天空篩選整理自SHUBHAMSINGH10大神的英文原創作品 Matplotlib.axis.Axis.add_callback() in Python。非經特殊聲明，原始代碼版權歸原作者所有，本譯文未經允許或授權，請勿轉載或複製。