import pandas as pd

df = pd.DataFrame({'Type': ["A", "A", "B", "B", "B", "A"],
                    'Sub_Type': ["AA", "AA", "BA", "BA", "AA", "BA"],
                    'Count': [3, 9, 3, 4, 3, 1],
                    })

datdict = {}
i = 0
for frame, data in df.groupby(['Type', 'Sub_Type']):
    datdict[i] = data
    i+=1

Dataframe 0例如：

print(pd.DataFrame(datdict[0]))

  Type Sub_Type  Count
0    A       AA      3
1    A       AA      9

数据字典包含：

>>> datdict
{0:   Type Sub_Type  Count
0    A       AA      3
1    A       AA      9, 1:   Type Sub_Type  Count
5    A       BA      1, 2:   Type Sub_Type  Count
4    B       AA      3, 3:   Type Sub_Type  Count
2    B       BA      3
3    B       BA      4}