How to split one column into multiple columns in Pandas using regular expression?

Question

For example, if I have a home address like this:

71 Pilgrim Avenue, Chevy Chase, MD

in a column named \'address\'. I would like to split it into col

Answer 1

df = pd.DataFrame({'address': {0: '71 Pilgrim Avenue, Chevy Chase, MD',
      1: '72 Main St, Chevy Chase, MD'},
     'id': {0: 'a', 1: 'b'}})
#if your address format is consistent, you can simply use a split function.
df2 = df.join(pd.DataFrame(df.address.str.split(',').tolist(),columns=['street', 'city', 'state']))
df2 = df2.applymap(lambda x: x.strip())