Description for ternary plot
Python package
This is the package I used https://github.com/marcharper/python-ternary
The following is the most usefull sample for me.
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| import ternary
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import random
cm = plt.cm.get_cmap('viridis')
dat=pd.DataFrame(columns=list('XYZV'))
dat['X']=random.sample(range(45),10)
dat['Y']=random.sample(range(45),10)
dat['Z']=100-(dat['X']+dat['Y'])
dat['V']=10**np.random.randint(0,high=10,size=10)/1e5
scale=100
fig, tax = ternary.figure(scale=scale)
fig.set_size_inches(10, 9)
points=dat[['X','Y','Z']].values
minv=np.log10(dat.V.min())
maxv=np.log10(dat.V.max())
tax.scatter(points,s=60,vmin=minv,vmax=maxv,colormap=plt.cm.viridis,colorbar=True,c=np.log10(dat['V'].values),cmap=plt.cm.viridis)
tax.boundary(linewidth=1)
tax.gridlines(multiple=10, color="gray")
tax.ticks(axis='lbr', linewidth=1, multiple=20)
tax.get_axes().axis('off')
figure.set_size_inches(10, 10)
tax.show()
|
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How to read tennary plot
这个才是重头戏
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一个简单的理解是，三元图是重心图，离哪个顶点近，哪个占比大。
由点向底边做两条平行线建立小正三角形，将底边分成三段，中间为顶部组所占比例，左段为右侧组比例，右段为左侧组比例。
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我录个视频吧
发现自己在中文网站上找不到相关的信息