尝试将3d子图添加到matplotlib图

问题描述

因此，我正在尝试创建一个图形，该图形显示数据点的3d图以及其他3个子图中的3个投影.我可以毫无问题地为投影添加子图，但是当我尝试将3维图放置到图中时，事与愿违.

So I'm trying to create a figure that presents a 3d plot from data points, along with the plots 3 projections in 3 other subplots. I can add the subplots for the projections with no problems, but when I try to place the 3 dimensional plot into the figure things backfire.

这是我的代码:

def plotAll(data):
    fig = plt.figure()
    plot_3d = fig.add_subplot(221)
    ax = Axes3D(plot_3d)
    for i,traj in enumerate(data.values()):
        ax.plot3D([traj[0][-1]],[traj[1][-1]],[traj[2][-1]],".",color=[0.91,0.39,0.046])
    #plot_12v13 = fig.add_subplot(222)
    #plot_projections(data,0,1)
    #plot_13v14 = fig.add_subplot(223)
    #plot_projections(data,1,2)
    #plot_12v14 = fig.add_subplot(224)
    #plot_projections(data,0,2)
    #plt.plot()

返回: 'AxesSubplot'对象没有属性'transFigure'

which throws back: 'AxesSubplot' object has no attribute 'transFigure'

我正在使用matplotlib 0.99.3，非常感谢您的帮助！

I'm using matplotlib 0.99.3, any help would be greatly appreciated, thanks!

推荐答案

我一直在寻找一种使用漂亮的fig, axes = plt.subplots(...)快捷方式创建3D图的方法，但是由于我只是浏览了 Matplotlib的mplot3d教程，我想分享这个网站顶部的报价.

I was searching for a way to create my 3D-plots with the nice fig, axes = plt.subplots(...) shortcut, but since I just browsed Matplotlib's mplot3d tutorial, I want to share a quote from the top of this site.

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

注意

在1.0.0版之前，创建3D轴的方法不同.对于使用较旧版本的matplotlib的用户，将ax = fig.add_subplot(111，projection ='3d')更改为ax = Axes3D(fig).

Note

Prior to version 1.0.0, the method of creating a 3D axes was different. For those using older versions of matplotlib, change ax = fig.add_subplot(111, projection='3d') to ax = Axes3D(fig).

因此，如果必须使用&p; 1.0.0版的Matplotlib，则应将其考虑在内.

So if you have to use the <1.0.0 version of Matplotlib, this should be taken into account.

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