changing sort in value_counts

Question

If I do

mt = mobile.PattLen.value_counts()   # sort True by default

I get

4    2831
3    2555 
5    1561
[...]


        

Answer 1

I think you need sort_index, because the left column is called index. The full command would be mt = mobile.PattLen.value_counts().sort_index(). For example:

mobile = pd.DataFrame({'PattLen':[1,1,2,6,6,7,7,7,7,8]})
print (mobile)
   PattLen
0        1
1        1
2        2
3        6
4        6
5        7
6        7
7        7
8        7
9        8

print (mobile.PattLen.value_counts())
7    4
6    2
1    2
8    1
2    1
Name: PattLen, dtype: int64


mt = mobile.PattLen.value_counts().sort_index()
print (mt)
1    2
2    1
6    2
7    4
8    1
Name: PattLen, dtype: int64