I'm working on a column that I converted from a object to a datetime datatype in Pandas. I'm trying to get a count of how many of observations are there for each year.
This is the column: df_raw['filed_date']
and the output is:
198894 2017-12-05
198895 2017-12-05
198896 2017-12-05
198897 2017-12-06
198898 2017-12-06
198899 2017-12-07
Name: filed_date, Length: 198900, dtype: datetime64[ns]
I couldn't find a method to just access the date and then daisy chain it to the value_counts() method. Any advice?