如何使用 matplotlib 和 pandas 数据框创建熔融三元图

Question

我正在尝试使用 mpltern 库创建三元散点图。reference

import matplotlib.pyplot as plt
from mpltern.ternary.datasets import get_scatter_points


ax = plt.subplot(projection='ternary')

for seed in [1, 9, 6, 8]:
  ax.scatter(*get_scatter_points(11, seed=seed), alpha=0.5, label=seed)

ax.legend()

plt.show()

坚持如何在熊猫数据框中为“分析类型-微生物污染”、“分析类型-其他污染”、“分析类型-组成”列执行相同操作

根据库的 get_scatter_points 函数

def get_scatter_points(n=201, seed=19680801):
  np.random.seed(seed)
  t = np.random.rand(n)
  l = np.random.rand(n)
  r = np.random.rand(n)
  s = (t + l + r)
  t /= s
  l /= s
  r /= s
  return t, l, r

Answer 1

ax = fig.add_subplot(projection='ternary')

for c in countries:
    t0 = df[df['Country '] == c][['AnalysisType-Microbiologicalcontamination']].values
    l0 = df[df['Country '] == c][['AnalysisType-Othercontamination']].values
    r0 = df[df['Country '] == c][['AnalysisType-Composition']].values
    ax.scatter(t0, l0, r0, alpha=0.5,label = c)
ax.legend()
plt.show()