PROSAGA码农传奇-模型可视化-多类plotnine geom

<div class =“post-text”itemprop =“text”>
  
    抱歉，我无法下载您的数据，但这里是模拟数据的解决方案。
  
   <pre>
 <code>
 import numpy as np
import pandas as pd
from plotnine import *

np.random.seed(0)

df = pd.DataFrame({'x': np.hstack((
                        np.random.normal(size=1000), 
                        np.random.normal(10, 2, size=1000), 
                        np.random.normal(-10, 2, size=1000))), 
                   'c': [0]*1000 + [1]*1000 + [2]*1000})

(ggplot(df, aes('x', color='c', fill='c')) + geom_density(alpha=0.7))

</code>
 </pre>
  
    收益率：
  
  
    <a href="https://i.stack.imgur.com/G8ekZ.png" rel="nofollow noreferrer">
      <img src =“https://i.stack.imgur.com/G8ekZ.png"alt =”“/>
    </A>
  
  
    取前1000行（对应于
     <code>
 c == 0
 </code>
    ）：
  
   <pre>
 <code>
 (ggplot(df[:1000], aes('x', color='c', fill='c')) + geom_density(alpha=0.7))

</code>
 </pre>
  
    <a href="https://i.stack.imgur.com/UL3fq.png" rel="nofollow noreferrer">
      <img src =“https://i.stack.imgur.com/UL3fq.png”alt =“”/>
    </A>
  
  
    现在创建一个分类变量：
  
   <pre>
 <code>
 df['cat'] = df['c'].astype('category')
(ggplot(df, aes('x', color='cat', fill='cat')) + geom_density(alpha=0.7))

</code>
 </pre>
  
    <a href="https://i.stack.imgur.com/Rr6h8.png" rel="nofollow noreferrer">
      <img src =“https://i.stack.imgur.com/Rr6h8.png”alt =“”/>
    </A>
  
</DIV>

多类plotnine geom_density图不起作用