matplotlib 未正确显示 3D 平面的交集 [重复]

我想绘制两个平面并找到它们的相交线，但我得到这个结果，无法判断它们相交的位置，因为一个平面覆盖另一个平面。

3D 投影应该隐藏平面的不可见部分，我如何使用来获得这个结果绘图库?

你可以清楚地看到这些平原should相交。

这是我用来获得此结果的代码

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

values = range(-10, 11)

def plotPlane(plot, normal, d, values, colorName):
    # x, y, z
    x, y = np.meshgrid(values, values)
    z = (-normal[0] * x - normal[1] * y - d) * 1. / normal[2]

    # draw plot
    plot.plot_surface(x, y, z, color=colorName)

image = plt.figure().gca(projection='3d')

plotPlane(image, [3, 2, -4], 1, values, "red")
plotPlane(image, [5, -1, 2], 4, values, "gray")

plt.show()

Use plotly。您将获得一个交互式绘图，您可以从任何角度对其进行快照。

import numpy as np
import plotly.graph_objects as go
from plotly.subplots import make_subplots
from typing import Tuple, Iterable


def plotPlane(fig: go.Figure,
              normal: Tuple[int, int, int],
              d: int,
              values: Iterable,
              colorScaleName: str) -> None:
    """
        :param fig: figure to plot on
        :param colorScaleName: choose from <https://plotly.com/javascript/colorscales/>
    """
    # x, y, z
    x, y = np.meshgrid(values, values)
    z = (-normal[0] * x - normal[1] * y - d) * 1. / normal[2]

    # draw plane
    surface = go.Surface(x=x, y=y, z=z, colorscale=colorScaleName, showscale=False)
    fig.add_trace(surface, row=1, col=1)


# create figure
fig = make_subplots(rows=1, cols=1, specs=[[{'type': 'surface'}]])
# plot two intersectioned surfaces
values = range(-10, 11)
plotPlane(fig, (3, 2, -4), 1, values, "Hot")
plotPlane(fig, (5, -1, 2), 4, values, "Greys")
fig.show()

我在 jupyter-notebook 中运行它。