Pandas-获取每个布尔字段的计数

我有其他程序,我分组和计数领域。现在,我想得到每个布尔字段的计数。有没有一种方法比我循环编写自己的代码更好呢?理想情况下,我会用结果生成一个新的数据帧(有点像我做的那样) here ).

简单示例CSV数据(生成的扑克手数据):

Hand,Other1,Other2,IsFourOfAKind,IsThreeOfAKind,IsPair 
1,'a','b',1,0,0
2,'c','d',0,1,0
3,'a','b',0,1,0
4,'x','y',0,0,1
5,'a','b',0,0,1
6,'a','b',0,0,1
7,'a','b',0,0,1 

课程:

import pandas as pd
import warnings 
filename = "./data/TestGroup2.csv"

# tell run time to ignore certain read_csv type errors (from pandas)
warnings.filterwarnings('ignore', message="^Columns.*")

count_cols = ['IsFourOfAKind','IsThreeOfAKind','IsPair ']
enter code here
#TODO - use the above to get counts of only these columns 

df = pd.read_csv(filename)
print(df.head(10))

 Column           Count 
IsFourOfAKind      1
IsThreeOfAKind     2
IsPair             3