Matplotlib多个动画多行 [英] Matplotlib multiple animate multiple lines

问题描述

我一直在研究如何为飞行路径设置多条线的动画.我读取多个GPS文件的时间对象将它们与时间相对应地设置为动画.我发现了如何使用animate函数中的append来对一行进行动画处理.现在，我需要为导入的文件添加第二个和第三个.

I have been researching on how to animate multiple lines for a flight path. The object it that I read multiple GPS files time sync them them animate each path with respect to time. I found how to animate one line using append in the animate functions. Now I need to add a second and third for as many files are imported.

我知道问题出在我如何用行执行set_data的某个地方.我看过多个示例，但我不明白设置多行所需的结构.是的，我是新手.

I know the problem is somewhere in how I perform the set_data with the lines. I ahve seen multiple example but I do not understand what structure is required to set up multiple lines. Yes I am a newbie.

fig = plt.figure()
ax1 = plt.axes(xlim=(-108, -104), ylim=(31,34))
line, = ax1.plot([], [], lw=2)
plt.xlabel('Longitude')
plt.ylabel('Latitude')



plotlays, plotcols = [2], ["black","red"]
lines = []
for index in range(2):
    lobj = ax1.plot([],[],lw=2,color=plotcols[index])[0]
    lines.append(lobj)


def init():
    for line in lines:
        line.set_data([],[])
    return lines

x1,y1 = [],[]
x2,y2 = [],[]

frame_num = len(gps_data[0])

# animation function.  This is called sequentially
def animate(i):

    x = gps_data[0][i,3]
    y = gps_data[0][i,2]
    x1.append(x)
    y1.append(y)

    x = gps_data[1][i,3]
    y = gps_data[1][i,2]
    x2.append(x)
    y2.append(y)

    #X = np.array(x1, x2)
    #Y = np.array(y1, y2)

    #for index in range(0,1):
    for lnum,line in enumerate(lines):
        line.set_data([x1,y1, x2,y2])
    return lines,


# call the animator.  blit=True means only re-draw the parts that have changed.
anim = animation.FuncAnimation(fig, animate, init_func=init,
                               frames=frame_num, interval=1, blit=True)


plt.show()

推荐答案

The Matplotlib documentation for the line2d artist explains how set_data works. It "ACCEPTS: 2D array (rows are x, y) or two 1D arrays." It also works with lists. You've given it a four element list instead. You need to set the x and y data of each line separately. I've included an example with fake data below.

import matplotlib.pyplot as plt
from matplotlib import animation
from numpy import random 

fig = plt.figure()
ax1 = plt.axes(xlim=(-108, -104), ylim=(31,34))
line, = ax1.plot([], [], lw=2)
plt.xlabel('Longitude')
plt.ylabel('Latitude')

plotlays, plotcols = [2], ["black","red"]
lines = []
for index in range(2):
    lobj = ax1.plot([],[],lw=2,color=plotcols[index])[0]
    lines.append(lobj)


def init():
    for line in lines:
        line.set_data([],[])
    return lines

x1,y1 = [],[]
x2,y2 = [],[]

# fake data
frame_num = 100
gps_data = [-104 - (4 * random.rand(2, frame_num)), 31 + (3 * random.rand(2, frame_num))]


def animate(i):

    x = gps_data[0][0, i]
    y = gps_data[1][0, i]
    x1.append(x)
    y1.append(y)

    x = gps_data[0][1,i]
    y = gps_data[1][1,i]
    x2.append(x)
    y2.append(y)

    xlist = [x1, x2]
    ylist = [y1, y2]

    #for index in range(0,1):
    for lnum,line in enumerate(lines):
        line.set_data(xlist[lnum], ylist[lnum]) # set data for each line separately. 

    return lines

# call the animator.  blit=True means only re-draw the parts that have changed.
anim = animation.FuncAnimation(fig, animate, init_func=init,
                               frames=frame_num, interval=10, blit=True)


plt.show()

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