How can I separate a sequence of numbers of a series in a dataframe like 20191110 into 2019-11-10 using python and pandas?

It should be a Date format

I tried: df = pd.to_datetime(df.date)

But it gave me a complete wrong date.
It turned 20191028 into: 1970-01-01 00:00:00.020191028

>Solution :

import datetime
datetime.datetime.strptime('20191110', "%Y%m%d").date()

#output
datetime.date(2019, 11, 10)

For a series you can do:

df['A'] = df['A'].dt.strftime('%Y-%m-%d')  # Data type of the series will become object(string)

OR

df['A'] = pd.to_datetime(df['A']).dt.date.astype('datetime64[ns]')