Plotly + Python:如何在3D中绘制箭头? [英] Plotly+Python: How to plot arrows in 3D?

问题描述

我正在使用Plotly + Python.如何在3D模式下绘制单个矢量，如箭头所示?

I am using Plotly+Python. How can I plot a single vector, as represented by an arrow, in 3D?

注释(这本来是个棘手的解决方法)仅适用于2D，箭袋图也仅适用于2D.

Annotations (which would have been a hacky workaround) are 2D-only, and Quiver plots are also 2D-only.

推荐答案

正如Mike Wise所说，不可能直接进行，但是，您可以计算向量，然后通过将线画到原点来绘制向量:

As Mike Wise mentioned, it is not possible to do it straight forwardly, nevertheless, you can compute your vector and then plot it by drawing the line to the origin:

例如: 在3D中绘制一些点，并绘制与这些点的质心相对应的向量

For example: Plot some points in 3D and draw a vector corresponding to the centroid of those points

import plotly.graph_objs as go
from plotly.offline import plot

#prepare plotting points
#points are: (0,5,5),(5,0,0),(5,10,5),(10,5,5)
points = go.Scatter3d( x = [0,5,5,10],
                       y = [5,0,10,5],
                       z = [5,0,5,0],
                       mode = 'markers',
                       marker = dict( size = 2,
                                      color = "rgb(227,26,28)")
                     )
#Compute centroid of all 3 points by taking the mean of each of
#its coordinates (not sure this is the right definition of centroid)
centerX = (0+5+5+10) / float(4)
centerY = (5+0+10+5) / float(4)
centerZ = (5+0+5+0) / float(4)

#Prepare centroid vector
vector = go.Scatter3d( x = [0,centerX],
                       y = [0,centerY],
                       z = [0,centerZ],
                       marker = dict( size = 1,
                                      color = "rgb(84,48,5)"),
                       line = dict( color = "rgb(84,48,5)",
                                    width = 6)
                     )
data = [points,vector]
layout = go.Layout(margin = dict( l = 0,
                                  r = 0,
                                  b = 0,
                                  t = 0)
                  )
fig = go.Figure(data=data,layout=layout)
plot(fig,filename="vector.html",auto_open=False,image='png',image_height=800,image_width=1500)

这将产生:

如果您打开交互式html文件，那就更好了

It will be much better if you open the interactive html file

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