如何编写自定义函数来显示数据框中每个变量的值计数以及级别？

Question

I have written some of code for the below but unable to get write code to display value counts for each levels

def info(data):
    return pd.DataFrame({"Data Type":data.dtypes,
                         "No of Levels":data.apply(lambda x: x.nunique(),axis=0)})

Output

   Data Type     No of Levels        Levels
A   int64                 3         [1 2 3]
B   int64                 8         [1 2 3 4 5 6 7 8]
C   int64                 6         [1 2 3 4 5 6]
D   object                4         ['Apple' 'Mango' 'Grapes' 'Orange']
E   object                3         ['Cauliflower' 'Potato' 'Tomato']
F   int64                 2         [0 1]
G   int64                 2         [1 0]
H   int64                 2         [1 0]

Desired Output

   Data Type     No of Levels        Value Counts                  Levels
A   int64                 3       1:100; 2:150; 3:200            [1 2 3]
B   int64                 8       0: 100; 1:200; 3:300...    [1 2 3 4 5 6 7 8]
C   int64                 6       0: 100; 1:200; 3:300...    [1 2 3 4 5 6]
D   object                4       Apple:5,Mango:150...       ['Apple' 'Mango' 'Grapes' 'Orange']
E   object                3       Cauliflower:5,Potato:150...['Cauliflower' 'Potato' 'Tomato']
F   int64                 2       0: 100; 1:200              [0 1]
G   int64                 2       0: 100; 1:200              [1 0]
H   int64                 2       0: 100; 1:200              [1 0]

Answer 1

You can try to create a python dict as follows

dict((x,l.count(x)) for x in set(data))