month from datetime pandas
#Exctract month and create a dedicated column df["Month"] from a
#column in datetime format df["Date"]
df['Month'] = pd.DatetimeIndex(df['Date']).month
month from datetime pandas
#Exctract month and create a dedicated column df["Month"] from a
#column in datetime format df["Date"]
df['Month'] = pd.DatetimeIndex(df['Date']).month
python date get day
import datetime
dt = datetime.datetime.today()
year = dt.year
month = dt.month
day = dt.day
datetime current year
import datetime as dt
year = dt.datetime.now().year
month = dt.datetime.now().month
date.month date time
import datetime
dt = datetime.datetime.today()
print dt.year
# Output: 2016
print dt.month
# Output: 8
print dt.day
# Output: 22
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