如果我有一个3D点列表,请说
plot3d([Point(0,0,0),Point(1,0,0),Point(0,2,0),Point(0,0,3)], (x, -5, 5), (y, -5, 5))
我想用SciPy绘制它们,我该怎么做?我试过了
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-54-851ee4534010> in <module>()
----> 1 plot3d([Point(0,0,0),Point(1,0,0),Point(0,2,0),Point(0,0,3)], (x, -5, 5), (y, -5, 5))
/usr/lib/python3.5/site-packages/sympy/plotting/plot.py in plot3d(*args, **kwargs)
1618 series = []
1619 plot_expr = check_arguments(args, 1, 2)
-> 1620 series = [SurfaceOver2DRangeSeries(*arg, **kwargs) for arg in plot_expr]
1621 plots = Plot(*series, **kwargs)
1622 if show:
TypeError: 'NoneType' object is not iterable
但这会导致此错误:
{{1}}
最佳地,解决方案将绘制具有这些顶点的多面体(四面体),或者将它们与线段连接。
答案 0 :(得分:1)
您可以使用scatter
绘制这些点。如果你想用线段连接它们,一种可能的方法是首先绘制点然后连接它们,如下所示:
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
import itertools
fig = plt.figure()
ax = fig.gca(projection='3d')
# plotting the points
pts = [(0,0,0),(1,0,0),(0,2,0),(0,0,3)]
for p in pts:
ax.scatter(p[0], p[1], p[2], zdir='z', c='r')
# plotting lines for each point pair
for a, b in itertools.product(pts, pts):
x = np.linspace(a[0], b[0], 100)
y = np.linspace(a[1], b[1], 100)
z = np.linspace(a[2], b[2], 100)
ax.plot(x, y, z)
ax.legend()
ax.set_xlim3d(0, 1)
ax.set_ylim3d(0, 2)
ax.set_zlim3d(0, 3)
plt.show()