Question

我试图将四个公式应用于数组中的一组坐标，以生成另外两个可以绘制的数组。

这两个新数组分别称为“ internal_edge”和“ external_edge”。

在下面的代码中，我打印了需要应用于'internal_edge'和'external_edge'的X和Y的四个方程。

import numpy as np
import math as m
from matplotlib import pyplot as plt

track_width = 0.25

centre_line = np.array([
    [5.2838386568469105, 0.5533114231405133],[5.366471208948866, 0.5138588293370626],[5.449968630730311, 0.47627584038467463],[5.534812288152224, 0.4418872118882958],[5.621950766713397, 0.4139674411266211],[5.711536576482786, 0.3955402988007556],[5.80273779150609, 0.38945006681201744],[5.893859166442468, 0.3968403768909704],[5.983006824666859, 0.41711137467093196],
])

x1, y1 = centre_line.T
#Internal X[0] Value:
print(track_width*m.cos(m.radians(m.degrees(m.atan2(y1[1]-y1[0],x1[1]-x1[0]))+90))+x1[1])
#Internal Y[0] Value:
print(track_width*m.sin(m.radians(m.degrees(m.atan2(y1[1]-y1[0],x1[1]-x1[0]))+90))+y1[1])
#External X[0] Value:
print(track_width*m.cos(m.radians(m.degrees(m.atan2(y1[1]-y1[0],x1[1]-x1[0]))-90))+x1[1])
#External Y[0] Value:
print(track_width*m.sin(m.radians(m.degrees(m.atan2(y1[1]-y1[0],x1[1]-x1[0]))-90))+y1[1])

internal_edge = np.array([
])
external_edge = np.array([
])

x2, y2 = internal_edge.T
x3, y3 = external_edge.T

plt.scatter(x1,y1,color='blue')
plt.scatter(x2,y2,color='green')
plt.scatter(x3,y3,color='red')
plt.show()

我现在需要弄清楚如何将它们应用于数组中的每个数据点以生成新数组。

Perfect Output Imperfect Output

Answer 1

这是您的操作方式。

import numpy as np
from matplotlib import pyplot as plt

track_width = 0.25

centre_line = np.array([
    [5.2838386568469105, 0.5533114231405133],[5.366471208948866, 0.5138588293370626],[5.449968630730311, 0.47627584038467463],[5.534812288152224, 0.4418872118882958],[5.621950766713397, 0.4139674411266211],[5.711536576482786, 0.3955402988007556],[5.80273779150609, 0.38945006681201744],[5.893859166442468, 0.3968403768909704],[5.983006824666859, 0.41711137467093196],
])

x1, y1 = centre_line.T

# adjust for full dataset maybe?
x1 = np.append(x1, x1[0])
y1 = np.append(y1, y1[0])

angle = np.arctan2(y1[1:] - y1[:-1], x1[1:] - x1[:-1])


internal_edge = np.array([
    track_width*np.cos(angle + np.deg2rad(90)) + x1[1:],
    track_width*np.sin(angle + np.deg2rad(90)) + y1[1:],
])

external_edge = np.array([
    track_width*np.cos(angle - np.deg2rad(90)) + x1[1:],
    track_width*np.sin(angle - np.deg2rad(90)) + y1[1:],
])

x2, y2 = internal_edge
x3, y3 = external_edge

plt.scatter(x1,y1,color='blue')
plt.scatter(x2,y2,color='green')
plt.scatter(x3,y3,color='red')
plt.show()

根据应用于源数组的公式创建数组

1 个答案: