extract year from datetime pandas
df['date'] = pd.to_datetime(df['date'],format='%Y%m%d')
df['year'] = pd.DatetimeIndex(df['date']).year
df['month'] = pd.DatetimeIndex(df['date']).monthextract year from datetime pandas
df['date'] = pd.to_datetime(df['date'],format='%Y%m%d')
df['year'] = pd.DatetimeIndex(df['date']).year
df['month'] = pd.DatetimeIndex(df['date']).monthhow to extract month from date in python
import datetime
date = '2021-05-21 11:22:03'
datem = datetime.datetime.strptime(date, "%Y-%m-%d %H:%M:%S")
print(datem.day) # 25
print(datem.month) # 5
print(datem.year) # 2021
print(datem.hour) # 11
print(datem.minute) # 22
print(datem.second) # 3month 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']).monthCopyright © 2021 Codeinu
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