pandas - Changing index type from a value_counts()

Question

I am trying to change the index type from int to string after a value_counts()

df
['value']
.value_counts()
.sort_index()

output:

40.0      1448
45.0     28558
50.0     83675
55.0     96377
60.0     47351
65.0     13226
70.0      2602
75.0       568
80.0        72
100.0       52
105.0       53
Name: value, dtype: int64

expected output:

40.0      1448
45.0     28558
50.0     83675
55.0     96377
60.0     47351
65.0     13226
70.0      2602
75.0       568
80.0        72
100.0       52
105.0       53
Name: value, dtype: string

Answer 1

If need convert sorted index values like 40.0 use rename:

df['value'].value_counts().sort_index().rename(index=str)

If need convert count values like 1448 use Series.astype:

df['value'].value_counts().sort_index().astype(str)