如何创建在阵列中的数据matplotlib三维线图？ [英] How do I create a 3D line plot in matplotlib from the data in arrays?

问题描述

我已经数值求解使用SciPy的与脚本洛伦兹方程：

I have numerically solved the Lorenz equations using SciPy with the script:

# Lorenz Equations SciPy solver
import numpy as np
from scipy import integrate
from math import cos
from matplotlib import pyplot as plt
a, b = 0, 100
sigma, rho, beta = 10, 28, 8/3
N = 1000000
h = (b-a) / float(N)

def solvr(Y, t):
    return [sigma*(Y[1]-Y[0]), Y[0]*(rho-Y[2])-Y[1], Y[0]*Y[1]-beta*Y[2]]

t    = np.arange(a, b, h)
asol = integrate.odeint(solvr, [0, 1, 1], t)
x    = asol[:,0]
y    = asol[:,1]
z    = asol[:,2]

现在我想要做的是什么阴谋 X ，是和以Z < /在3D线（或线框）地块code>（里面全是numpy的ndarrays，如果你不确定）反目成仇。我认为，这将不得不使用matplotlib来完成，但我不挑剔，只要你给我一个解决方案，将绘制三维数据我不在乎我需要导入哪些模块。

Now what I would like to do is plot x, y and z (which are all Numpy ndarrays, if you are unsure) against each other in a 3D line (or wireframe) plot. I think this would have to be done using matplotlib, but I am not picky, so long as you give me a solution that will plot the data in 3D I do not care what modules I need to import.

推荐答案

有是关于如何做线框图在matplotlib网站的 http://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html#wireframe-plots

There is a brief example / tutorial on how to do wireframe plots (as well as 3d scatter) at the matplotlib site http://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html#wireframe-plots

这篇关于如何创建在阵列中的数据matplotlib三维线图？的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！