如何在Python中创建三元轮廓图？ [英] How to create ternary contour plot in Python?

问题描述

我有一个数据集，如下所示（在Python中）：

  import numpy as np 
 A = np 。阵列（[0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,0,0.1,0.2,0.3,0.4,0.2,0.2,0.05,0.1]）$ ​​b $ b B = np.array （[0.9,0.7,0.5,0.3,0.1,0.2,0.1,0.15,0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9]）
 C = np.array（[ 0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0， 1,2,3,4,5,6,7,8,7,6,5,4,3,2,1,0,1,2]）
  

我试图用matplotlib创建三元图，如图所示（ 。请务必查看各种链接和评论。

这些似乎是Python的最佳选择：

• Marc Harper的< a href =https://github.com/marcharper/python-ternary =nofollow noreferrer> python-ternary


• Veusz ，一个Python绘图库

在另一个SO问题中也有一些建议： 用于绘制三元/三角形图的库/工具[关闭] 。

I have a data set as follows (in Python):

import numpy as np
A = np.array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 0, 0.1, 0.2, 0.3, 0.4, 0.2, 0.2, 0.05, 0.1])
B = np.array([0.9, 0.7, 0.5, 0.3, 0.1, 0.2, 0.1, 0.15, 0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])
C = np.array([0, 0.1, 0.2, 0.3, 0.4, 0.2, 0.2, 0.05, 0.1, 0.9, 0.7, 0.5, 0.3, 0.1, 0.2, 0.1, 0.15, 0])
D = np.array([1, 2, 3, 4, 5, 6, 7, 8, 7, 6, 5, 4, 3, 2, 1, 0, 1, 2])

I am trying to create ternary plots with matplotlib as shown in the figure (source). The axes are A, B, C and D values should be denoted by contours and the points need to be labelled like in figure.

Can such plots be created in matplotlib or with Python?

解决方案

Yes they can; there are at least a couple of packages to help.

I once tried to gather them all in a blog post, Ternary diagrams. Be sure to look at the various links and comments too.

These seem to be the best options for Python:

• Marc Harper's python-ternary
• Veusz, a Python plotting library

There are also some suggestions in another SO question: Library/tool for drawing ternary/triangle plots [closed].

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