Python Pandas. Date object split by separate columns.

Question

I have dates in Python (pandas) written as \"1/31/2010\". To apply linear regression I want to have 3 separate variables: number of day, number of month, number of year.

Answer 1

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

#Create 3 additional columns
df['day'] = df['date'].dt.day
df['month'] = df['date'].dt.month
df['year'] = df['date'].dt.year

Ideally, you can do this without having to create 3 additional columns, you can just pass the Series to your function.

In [2]: pd.to_datetime('01/31/2010').day
Out[2]: 31

In [3]: pd.to_datetime('01/31/2010').month
Out[3]: 1

In [4]: pd.to_datetime('01/31/2010').year
Out[4]: 2010