Question

我有一个文件，用于比较基础数据集的不同视图的不同信息。目的是列出信息片段并比较总计。

我有以下数据框：

df = pandas.DataFrame({"Measures": 
['Country','State','County','City'], 
"Green": ['Included','Excluded','Included','Included'], "Orange": 
['Excluded', 'Excluded', 'Excluded', 'Included']})

我有以下基础数据集：

Location    Green    Orange
Country     1        6
State       3        10
County      2        15
City        5        20

我希望最终结果看起来像这样：

Measures    Green    Orange
Country     Included Excluded
State       Excluded Excluded
County      Included Excluded
City        Included Included
Total       8        20

Answer 1

在计算总和之前，您可以使用<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script> <a href='#' class='trigger'>Trigger</a> <ul class='b3_archive_testimonial_category_list'> <li>Item 1</li> <li>Item 2</li> <li>Item 3</li> <li>Item 4</li> <li>Item 5</li> </ul>来掩盖基础数据框的值。

df

如果要获得更相同的输出，另一种方法是分别将“度量”和“位置”设置为索引。

m = df.eq('Included')   
# Assume df2 is your underlying DataFrame.
v = df2[m].sum()
# Assign the total back as a new row in df.    
df.loc['Total', :] = v[df2.dtypes != object]

df
      Measures     Green    Orange
0      Country  Included  Excluded
1        State  Excluded  Excluded
2       County  Included  Excluded
3         City  Included  Included
Total      NaN         8        20

python pandas dataframe添加具有过滤条件的总列

1 个答案: