如果列元素是一个集合，如何从 pandas 数据框列中获取每个值的计数？

Question

I have a Data set which has a column whose elements are a set like below

index  set_column
0    {5520986, 5520236}
1    {5520986, 5520236}
2    {5471829, 5515351}
3    {5471829, 5515351}
4    {5471829, 5515351}
5    {5471829, 5515351}
6    {5471829, 5515351}
7    {5471829, 5515351}

what i am trying to get is count of each unique values.

 set            count
{5520986, 5520236} 2
{5471829, 5515351} 6

Answer 1

You can do:

df = df["set_column"].value_counts().reset_index()
df.columns = ["set", "count"]

print(df)

Output:

                  set  count
0  {5471829, 5515351}      6
1  {5520986, 5520236}      2

Answer 2

You can simply try this

df['Count']=df.groupby().cumcount()
df=df.groupby(['set_column'].max()