id int_date
1  20160228
2  20161231
3  20160618
4  20170123
5  20151124

id int_date
1  02/28/2016
2  12/31/2016
3  06/18/2016
4  01/23/2017
5  11/24/2015

date = datetime(year=int(s[0:4]), month=int(s[4:6]), day=int(s[6:8]))

from datetime import datetime
a = '20160228'
date = datetime.strptime(a, '%Y%m%d').strftime('%m/%d/%Y')

def get_datetime(date):
    date_string = str(date)
    return datetime.date(date_string[:3], date_string[4:6], date_string[6:8]

import pandas as pd

dates = [
    20160228,
    20161231,
    20160618,
    20170123,
    20151124,
]

df = pd.DataFrame(data=list(enumerate(dates, start=1)), columns=['id','int_date'])

df[['str_date']] = df[['int_date']].applymap(str).applymap(lambda s: "{}/{}/{}".format(s[4:6],s[6:], s[0:4]))

print(df)

$ python test.py
   id  int_date    str_date
0   1  20160228  02/28/2016
1   2  20161231  12/31/2016
2   3  20160618  06/18/2016
3   4  20170123  01/23/2017
4   5  20151124  11/24/2015