Python Dynamic Drawing Guide

Python has the ability to use various libraries to create dynamic drawings, such as matplotlib and turtle.

The steps for creating dynamic plots using the matplotlib library are as follows:

1. Import the matplotlib library and relevant modules.

import matplotlib.pyplot as plt
import numpy as np

1. Create an empty graphical window.

fig, ax = plt.subplots()

1. Create an empty list to store the data to be plotted.

data = []

1. Create a drawing function for updating graphics.

def update_plot():
    ax.clear()
    ax.plot(data)
    plt.draw()

1. Continuously update data within the loop and call the drawing function to plot the data.

while True:
    # 更新数据
    # ...
    
    # 调用绘图函数进行绘图
    update_plot()

The steps for implementing dynamic drawing using the turtle library are as follows:

1. Import the turtle library.

import turtle

1. Create a canvas.

screen = turtle.Screen()

1. Create a turtle object.

my_turtle = turtle.Turtle()

1. Continuously update the position and direction of the turtle in the loop to achieve dynamic drawing.

while True:
    # 更新海龟的位置和方向
    # ...
    
    # 绘制图形
    my_turtle.forward(100)
    my_turtle.left(90)

Please note that when using the turtle library to create dynamic drawings, it is necessary to call the screen.update() function after each drawing to update the canvas. Additionally, you can use the turtle.speed() function to control the drawing speed.