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文件的对象时间同步它们为每个路径设置相对于时间的动画。我找到了如何使用动画函数中的append为一行设置动画。现在我需要为导入的文件添加第二个和第三个。
我知道问题出在我如何用行执行set_data的地方。我见过多个例子,但我不明白设置多行所需的结构。是的我是新手。
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()
答案 0 :(得分:5)
line2d artist的Matplotlib文档解释了set_data的工作原理。它“ACCEPTS:2D数组(行是x,y)或两个1D数组。”它也适用于列表。你已经给它一个四元素列表了。您需要分别设置每一行的x和y数据。我在下面列出了一个假数据的例子。
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()