PROSAGA码农传奇-模型可视化-调查结果的条形图为pd.value

调查结果的条形图为pd.value_counts（）

作者: 一腔诗意喂了狗
发布时间: 2023-12-14 07:04:43 (5月前)
转自：

<div class =“post-text”itemprop =“text”>
  <P>
    创建字典
     <code>
      zip
    </code>
    ，地图索引
    <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Index.map.html" rel="nofollow noreferrer">
       <code>
        Index.map
      </code>
    </A>
     和
    <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.reindex.html" rel="nofollow noreferrer">
       <code>
        reindex
      </code>
    </A>
     用于设置排序添加缺失的catogories，最后一个绘图
    <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.plot.bar.html" rel="nofollow noreferrer">
       <code>
        Series.plot.bar
      </code>
    </A>
    ：
  </p>
   <pre>
    <code>
      s = pd.Series([6,5,5,1,1], index=[5.0,6.0,7.0,3.0,2.0])

cats = ['extremely unhappy', 'unhappy', 'partly unhappy', 
        'neutral', 'partly happy', 'happy', 'extremely happy']
vals = range(1, 8)
d = dict(zip(vals, cats))

s.index = s.index.map(d.get)
s1 = s.reindex(cats, fill_value=0)
print (s1)
extremely unhappy    0
unhappy              1
partly unhappy       1
neutral              0
partly happy         6
happy                5
extremely happy      5
dtype: int64

s1.plot.bar()

</code>
  </pre>
</DIV>