如何在python中绘制数据立方体

问题描述

我想知道是否有办法在Python中绘制数据立方体。我的意思是每个点都有三个坐标

  x = part.points [：，0] 
y = part。 points [：，1] 
z = part.points [：，2] 
  

每个点都有一个标量字段t（x，y，z）

我想绘制一个3D数据立方体，显示该点的位置以及每个点a

我尝试过histogramdd，但没有用。

解决方案

您可以使用。 sourceforge.net/ rel = nofollow noreferrer> gnuplot.py 。 Gnuplot也可以直接用作子流程，如和。

I was wondering if there's a way to plot a data cube in Python. I mean I have three coordinate for every point

x=part.points[:,0]
y=part.points[:,1]
z=part.points[:,2]

And for every point I have a scalar field t(x,y,z)

I would like to plot a 3D data cube showing the position of the point and for every point a color which is proportional to the scalar field t in that point.

I tried with histogramdd but it didn't work.

解决方案

You can use matplotlib.Here you have a working example (that moves!):

import random
from matplotlib import pyplot
from mpl_toolkits.mplot3d import Axes3D

mypoints = []
for _ in range(100):
    mypoints.append([random.random(),    #x
                    random.random(),     #y
                    random.random(),     #z
                    random.randint(10,100)]) #scalar

data = zip(*mypoints)           # use list(zip(*mypoints)) with py3k

fig = pyplot.figure()
ax = fig.add_subplot(111, projection='3d')

ax.scatter(data[0], data[1], data[2], c=data[3])
pyplot.show()

You probably have to customize the relation of your scalar values with the corresponding colors.
Matplotlib has a very nice look but it can be slow drawing and moving these 3D drawings when you have many points. In these cases I used to use Gnuplot controlled by gnuplot.py. Gnuplot can also be used directly as a subprocess as shown here and here.

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