How do I extract the date/year/month from pandas dataframe?

Question

I\'m trying to extract year/date/month info from the \'date\' column in pandas dataframe. Here is my sample code:

from datetime import datetime
def date_spli         


        

Answer 1

It seems you need to_datetime:

print (df['date'].dtype)
object

df['date'] = pd.to_datetime(df['date'])

print (df['date'].dtype)
datetime64[ns]

If need extract year, month and day to new columns:

df['year'] = df['date'].dt.year
df['month'] = df['date'].dt.month
df['day'] = df['date'].dt.day

If need list of dates:

listdate = df['date'].dt.date.tolist()
print (listdate)

[datetime.date(2017, 9, 5), 
 datetime.date(2017, 9, 4),
 datetime.date(2017, 9, 3), 
 datetime.date(2017, 9, 2),
 datetime.date(2017, 9, 1)]