我不是初学者,但我也不是python代码的高级开发人员。 我一直在尝试为散点图中的点移动设置动画,并在每个点上添加注释。我所要做的只是一点没有注解的动画。我已经搜索了类似的解决方案,但它是如此令人困惑。欢迎任何帮助。这就是我所做的。
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import matplotlib.animation as animation
frame_count = 0
points = reading_file("some_data") # this method is not of intrest
def make_one_point(i):
global frame_count, points
ex = [1]
ey = [1]
ez = [1]
point = points[i]
frame = point[frame_count]
ex[0] = frame[0]
ey[0] = frame[1]
ez[0] = frame[2]
frame_count += 1
return ex, ey, ez
def update(i):
global frame_count, points
if frame_count < len(points[i]):
return make_one_point(i)
else:
frame_count = 0
return make_one_point(i)
fig = plt.figure()
ax1 = fig.add_subplot(111, projection='3d')
ax1.set_xlim3d(-500, 2000)
ax1.set_ylim3d(-500, 2000)
ax1.set_zlim3d(0, 2000)
x = [1]
y = [1]
z = [1]
scat = ax1.scatter(x,y,z)
def animate(i):
scat._offsets3d = update(0)
ani = animation.FuncAnimation(fig, animate,
frames=len(points[10]),
interval=100, repeat=True)
plt.show()
如何同时为更多的点设置动画,并对每个点进行注释?有50分,我对效率不是很关心,只是想让它起作用。
答案 0 :(得分:0)
事实证明,以3D动画制作文本比我预期的要困难。毫不奇怪,我能够找到问题in an answer from @ImportanceOfBeingErnest的解决方案。然后,我简单地修改了我拥有already written in a previous answer的代码,并产生了以下代码:
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D, proj3d
import matplotlib.animation as animation
N_points = 10
def update(num, my_ax):
# the following corresponds to whatever logic must append in your code
# to get the new coordinates of your points
# in this case, we're going to move each point by a quantity (dx,dy,dz)
dx, dy, dz = np.random.normal(size=(3,N_points), loc=0, scale=1)
debug_text.set_text("{:d}".format(num)) # for debugging
x,y,z = graph._offsets3d
new_x, new_y, new_z = (x+dx, y+dy, z+dz)
graph._offsets3d = (new_x, new_y, new_z)
for t, new_x_i, new_y_i, new_z_i in zip(annots, new_x, new_y, new_z):
# animating Text in 3D proved to be tricky. Tip of the hat to @ImportanceOfBeingErnest
# for this answer https://stackoverflow.com/a/51579878/1356000
x_, y_, _ = proj3d.proj_transform(new_x_i, new_y_i, new_z_i, my_ax.get_proj())
t.set_position((x_,y_))
return [graph,debug_text]+annots
# create N_points initial points
x,y,z = np.random.normal(size=(3,N_points), loc=0, scale=10)
fig = plt.figure(figsize=(5, 5))
ax = fig.add_subplot(111, projection="3d")
graph = ax.scatter(x, y, z, color='orange')
debug_text = fig.text(0, 1, "TEXT", va='top') # for debugging
annots = [ax.text2D(0,0,"POINT") for _ in range(N_points)]
# Creating the Animation object
ani = animation.FuncAnimation(fig, update, fargs=[ax], frames=100, interval=50, blit=True)
plt.show()