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在 matplotlib 中对散点和线进行动画处理

在 matplotlib 中对散点和线进行动画处理

一只萌萌小番薯 2023-08-08 16:59:42
我试图在 matplotlib 中对线条和散点图进行动画处理,并编写了以下 Python 脚本:-from a import Pitch, get_pointsimport numpy as npimport matplotlib.pyplot as pltimport matplotlib.animation as animationpitch = Pitch(line_color='grey', pitch_color='#121212', orientation='horizontal')fig, ax = pitch.create_pitch() x_start, y_start = (50, 35)x_end, y_end = (90, 45)x_1, y_1 = get_points(x_start, y_start, x_end, y_end, 0.55)x_2, y_2 = get_points(x_end, y_end, x_start, y_start, 0.55)x = np.linspace(x_1, x_2, 50)y = np.linspace(y_1, y_2, 50)sc_1 = ax.scatter([], [], color="green", zorder=4)line, = ax.plot([], [], color="crimson", zorder=4)sc_2 = ax.scatter([], [], color="gold", zorder=4)def animate(i):    ## plot scatter point    sc_1.set_offsets([x_start, y_start])    ## plot line    line.set_data(x[:i], y[:i])    ## plot scatter point    sc_2.set_offsets([x_end, y_end])    return sc_1, line, sc_2ani = animation.FuncAnimation(      fig=fig, func=animate, interval=20, blit=True, save_count=50)  plt.show()我想要的是:在红线到达黄点的位置后,黄色散点应该出现在图中。我的程序从一开始就显示黄点,我希望它在动画结束时弹出。我可以在代码中添加/更新什么来进行所需的更改?
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萧十郎

TA贡献1815条经验 获得超13个赞

我添加了简单的条件sc_2。


    if i == len(x):

        sc_2.set_offsets([x_end, y_end])

我测试的代码:


import numpy as np

import matplotlib.pyplot as plt

import matplotlib.animation as animation



fig, ax = plt.subplots()


x_start, y_start = (0, 0)

x_end, y_end = (90, 90)


x_1, y_1 = 0, 0

x_2, y_2 = 90, 90


plt.xlim((0, 100))

plt.ylim((0,100))


x = np.linspace(x_1, x_2, 50)

y = np.linspace(y_1, y_2, 50)


sc_1 = ax.scatter([], [], color="green", zorder=4)

line, = ax.plot([], [], color="crimson", zorder=4)

sc_2 = ax.scatter([], [], color="gold", zorder=4)



def animate(i):

    ## plot scatter point

    sc_1.set_offsets([x_start, y_start])


    ## plot line

    line.set_data(x[:i], y[:i])


    ## plot scatter point

    if i == len(x):

        sc_2.set_offsets([x_end, y_end])


    return sc_1, line, sc_2


ani = animation.FuncAnimation(

    fig=fig, func=animate, interval=100, blit=True, save_count=50)


plt.show()


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反对 回复 2023-08-08
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