Parsing date in pandas.read_csv

I am trying to read a CSV file which has in its first column date values specified in this format:

"Dec 30, 2021","1.1","1.2","1.3","1"

While I can define the types for the remaining columns using dtype= clause, I do not know how to handle the Date.

I have tried the obvious np.datetime64 without success.

Is there any way to specify a format to parse this date directly using read_csv method?

>Solution :

Just specify a list of columns that should be convert to dates in the parse_dates= of pd.read_csv:

>>> df = pd.read_csv('file.csv', parse_dates=['date'])
>>> df
        date    a    b    c  d
0 2021-12-30  1.1  1.2  1.3  1

>>> df.dtypes
date    datetime64[ns]
a              float64
b              float64
c              float64
d                int64