/Python/Extract year from datetime pandas

Extract year from datetime pandas

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

Source: interviewqs.com

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']).month

To extract out only year month from a date column in pandas

df['month_year'] = df['date_column'].dt.to_period('M')

Source: stackoverflow.com

Pandas extract month year from date

#if the date format comes in datetime, we can also extract the day/month/year using the to_period function
#where 'D', 'M', 'Y' are inputs
df['month_year'] = pd.to_datetime(df['birth_date']).dt.to_period('M')
df.head()

Source: interviewqs.com

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