这是我的数组-:
实际上是从循环中一个一个的过来
我刚收集了3个放在这里，就是numpy数组。
我想在同一平面上绘制每个 [x,y,z]
here is the link of kind of same question but it did not help
这是我的数组，尝试通过循环绘制它
我不想每次都创建 3D 计划
提前致谢
[[[-3.7346181e-06 -3.1257220e-04 2.3624572e-05]
[-1.8270965e-01 -1.9664496e-02 -2.4568141e-02]
[-5.1518667e-01 -1.3219842e-01 -9.3250133e-02]
[-6.4856362e-01 -2.1495605e-01 3.9285976e-01]
[ 1.8270889e-01 1.9617405e-02 2.4641553e-02]
[ 3.9771706e-01 -1.1204291e-01 -5.8607131e-02]
[ 3.6946571e-01 -2.2695571e-01 4.6232837e-01]
[ 8.5611023e-02 -1.2644671e-02 -3.5036582e-01]
[ 1.3635550e-01 5.2643344e-02 -7.1496451e-01]
[ 1.8607274e-01 -1.2201009e-01 -8.6325580e-01]
[ 1.7147079e-01 -1.2234911e-01 -7.1370012e-01]
[ 3.2113862e-01 7.7752903e-02 -6.3317382e-01]
[ 2.3124713e-01 1.3558227e-01 -6.4422649e-01]
[ 2.2836849e-01 1.0909287e-01 -7.2661340e-01]
[-9.0970740e-02 5.7883307e-02 -6.6334200e-01]
[-4.4122726e-01 6.3316643e-02 -7.2553694e-01]
[-3.9037937e-01 2.2318088e-01 -8.1665212e-01]]]
[[[-1.32776477e-05 -2.97636725e-04 2.07653720e-05]
[-1.68503642e-01 3.80588695e-04 -9.51068290e-03]
[-4.42689836e-01 -1.15498923e-01 -2.68602669e-02]
[-5.35742640e-01 -1.85905486e-01 4.60541725e-01]
[ 1.68502390e-01 -4.27531078e-04 9.57961846e-03]
[ 2.83172369e-01 -1.05357058e-01 -5.61783835e-02]
[ 2.59259105e-01 -2.00630039e-01 4.48426425e-01]
[ 3.78718376e-02 4.71886247e-03 -3.37765753e-01]
[ 6.96768388e-02 5.93466610e-02 -6.99321628e-01]
[ 1.48931056e-01 -1.05252340e-01 -8.41985703e-01]
[ 1.16152301e-01 -1.15709454e-01 -6.85189247e-01]
[ 2.30773821e-01 9.07361209e-02 -6.26397610e-01]
[ 9.23667029e-02 2.23804459e-01 -6.05568826e-01]
[ 1.61588803e-01 2.28583038e-01 -6.90727592e-01]
[-1.31729320e-01 8.03924501e-02 -6.44603014e-01]
[-3.65913302e-01 1.40294611e-01 -7.10297525e-01]
[-2.16627806e-01 2.40194470e-01 -8.28336358e-01]]]
[[[-2.19513167e-05 -3.16318357e-04 2.70773580e-05]
[-1.83729559e-01 -1.88755654e-02 3.92242987e-03]
[-6.30268693e-01 -9.18525085e-02 -6.71465471e-02]
[-7.46562421e-01 -1.81590259e-01 3.83828521e-01]
[ 1.83727473e-01 1.88308004e-02 -3.84662580e-03]
[ 2.59795696e-01 -8.64344314e-02 -1.28021538e-01]
[ 3.55481476e-01 -2.24883348e-01 3.69557619e-01]
[ 4.59439643e-02 -3.64996381e-02 -3.36623996e-01]
[ 3.68975624e-02 1.97220743e-02 -7.02061892e-01]
[ 6.98319748e-02 -1.30513906e-01 -8.74462485e-01]
[ 2.34411024e-02 -1.52265698e-01 -7.35571742e-01]
[ 2.38494694e-01 5.04430383e-02 -6.41864300e-01]
[ 1.48135394e-01 1.30144447e-01 -7.28250265e-01]
[ 2.49228701e-02 1.02922164e-01 -7.87323594e-01]
[-1.83728695e-01 3.35978419e-02 -6.16014957e-01]
[-5.12299538e-01 5.33500277e-02 -7.29221344e-01]
[-4.05532420e-01 1.83315963e-01 -8.09123099e-01]]]
[[[ 5.50974801e-06 -3.28218332e-04 2.59917761e-05]
[-1.91503197e-01 -1.14648398e-02 5.05512115e-03]
[-5.49794495e-01 -1.06854029e-01 -8.42418224e-02]
[-6.29268408e-01 -2.02463925e-01 4.09912437e-01]
[ 1.91505283e-01 1.14187030e-02 -4.97415010e-03]
[ 3.23183417e-01 -1.10180043e-01 -1.13089390e-01]
[ 3.54678303e-01 -2.02096671e-01 3.71636897e-01]
[ 4.84753847e-02 -8.79631937e-03 -3.45276684e-01]
[ 7.61866719e-02 8.03767443e-02 -7.07699120e-01]
[ 4.07396629e-02 -6.86248243e-02 -9.04964268e-01]
[ 1.32909074e-01 -8.58621150e-02 -7.62888849e-01]
[ 2.87238806e-01 1.04963884e-01 -6.40575528e-01]
[ 2.66343057e-01 8.39773417e-02 -7.47035563e-01]
[ 2.27702856e-01 1.79538485e-02 -8.42158377e-01]
[-1.55427247e-01 8.40265751e-02 -6.31053209e-01]
[-3.99664700e-01 1.00732595e-01 -7.04388440e-01]
[-3.03526998e-01 2.35610425e-01 -8.10859442e-01]]]
最佳答案
所以我不确定您真正想要什么，但据我了解，您拥有这些数组并且您想将它们绘制成一个循环。
我不确定这是否是您要找的内容，但我希望它能对您有所帮助，如果您有任何疑问，我会更新我的答案。
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
arr = [
np.array(
[
[-3.7346181e-06, -3.1257220e-04, 2.3624572e-05],
[-1.8270965e-01, -1.9664496e-02, -2.4568141e-02],
[-5.1518667e-01, -1.3219842e-01, -9.3250133e-02],
[-6.4856362e-01, -2.1495605e-01, 3.9285976e-01],
[1.8270889e-01, 1.9617405e-02, 2.4641553e-02],
[3.9771706e-01, -1.1204291e-01, -5.8607131e-02],
[3.6946571e-01, -2.2695571e-01, 4.6232837e-01],
[8.5611023e-02, -1.2644671e-02, -3.5036582e-01],
[1.3635550e-01, 5.2643344e-02, -7.1496451e-01],
[1.8607274e-01, -1.2201009e-01, -8.6325580e-01],
[1.7147079e-01, -1.2234911e-01, -7.1370012e-01],
[3.2113862e-01, 7.7752903e-02, -6.3317382e-01],
[2.3124713e-01, 1.3558227e-01, -6.4422649e-01],
[2.2836849e-01, 1.0909287e-01, -7.2661340e-01],
[-9.0970740e-02, 5.7883307e-02, -6.6334200e-01],
[-4.4122726e-01, 6.3316643e-02, -7.2553694e-01],
[-3.9037937e-01, 2.2318088e-01, -8.1665212e-01]
]
),
np.array(
[
[-1.32776477e-05, -2.97636725e-04, 2.07653720e-05],
[-1.68503642e-01, 3.80588695e-04, -9.51068290e-03],
[-4.42689836e-01, -1.15498923e-01, -2.68602669e-02],
[-5.35742640e-01, -1.85905486e-01, 4.60541725e-01],
[ 1.68502390e-01, -4.27531078e-04, 9.57961846e-03],
[ 2.83172369e-01, -1.05357058e-01, -5.61783835e-02],
[ 2.59259105e-01, -2.00630039e-01, 4.48426425e-01],
[ 3.78718376e-02, 4.71886247e-03, -3.37765753e-01],
[ 6.96768388e-02, 5.93466610e-02, -6.99321628e-01],
[ 1.48931056e-01, -1.05252340e-01, -8.41985703e-01],
[ 1.16152301e-01, -1.15709454e-01, -6.85189247e-01],
[ 2.30773821e-01, 9.07361209e-02, -6.26397610e-01],
[ 9.23667029e-02, 2.23804459e-01, -6.05568826e-01],
[ 1.61588803e-01, 2.28583038e-01, -6.90727592e-01],
[-1.31729320e-01, 8.03924501e-02, -6.44603014e-01],
[-3.65913302e-01, 1.40294611e-01, -7.10297525e-01],
[-2.16627806e-01, 2.40194470e-01, -8.28336358e-01]
]
),
np.array(
[
[-2.19513167e-05, -3.16318357e-04, 2.70773580e-05],
[-1.83729559e-01, -1.88755654e-02, 3.92242987e-03],
[-6.30268693e-01, -9.18525085e-02, -6.71465471e-02],
[-7.46562421e-01, -1.81590259e-01, 3.83828521e-01],
[ 1.83727473e-01, 1.88308004e-02, -3.84662580e-03],
[ 2.59795696e-01, -8.64344314e-02, -1.28021538e-01],
[ 3.55481476e-01, -2.24883348e-01, 3.69557619e-01],
[ 4.59439643e-02, -3.64996381e-02, -3.36623996e-01],
[ 3.68975624e-02, 1.97220743e-02, -7.02061892e-01],
[ 6.98319748e-02, -1.30513906e-01, -8.74462485e-01],
[ 2.34411024e-02, -1.52265698e-01, -7.35571742e-01],
[ 2.38494694e-01, 5.04430383e-02, -6.41864300e-01],
[ 1.48135394e-01, 1.30144447e-01, -7.28250265e-01],
[ 2.49228701e-02, 1.02922164e-01, -7.87323594e-01],
[-1.83728695e-01, 3.35978419e-02, -6.16014957e-01],
[-5.12299538e-01, 5.33500277e-02, -7.29221344e-01],
[-4.05532420e-01, 1.83315963e-01, -8.09123099e-01]
]
),
np.array(
[
[ 5.50974801e-06, -3.28218332e-04, 2.59917761e-05],
[-1.91503197e-01, -1.14648398e-02, 5.05512115e-03],
[-5.49794495e-01, -1.06854029e-01, -8.42418224e-02],
[-6.29268408e-01, -2.02463925e-01, 4.09912437e-01],
[ 1.91505283e-01, 1.14187030e-02, -4.97415010e-03],
[ 3.23183417e-01, -1.10180043e-01, -1.13089390e-01],
[ 3.54678303e-01, -2.02096671e-01, 3.71636897e-01],
[ 4.84753847e-02, -8.79631937e-03, -3.45276684e-01],
[ 7.61866719e-02, 8.03767443e-02, -7.07699120e-01],
[ 4.07396629e-02, -6.86248243e-02, -9.04964268e-01],
[ 1.32909074e-01, -8.58621150e-02, -7.62888849e-01],
[ 2.87238806e-01, 1.04963884e-01, -6.40575528e-01],
[ 2.66343057e-01, 8.39773417e-02, -7.47035563e-01],
[ 2.27702856e-01, 1.79538485e-02, -8.42158377e-01],
[-1.55427247e-01, 8.40265751e-02, -6.31053209e-01],
[-3.99664700e-01, 1.00732595e-01, -7.04388440e-01],
[-3.03526998e-01, 2.35610425e-01, -8.10859442e-01]
]
)
]
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
while True:
for a in arr:
ax.plot(a[:, 0], a[:, 1], a[:, 2])
plt.pause(0.5)
ax.lines.pop()
关于python - 如何在 Python 中进行实时 3D 绘图，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/63040781/