I need help with this pandas split with regex. I’m getting the error ValueError: Columns must be same length as key.
my column of data is like this
PURCHASE AUTHORIZED ON 03/30 UOFU BOOKSTORE 1 … PURCHASE AUTHORIZED ON 03/29 WM SUPERC Wal-Mart Sup … PURCHASE AUTHORIZED ON 03/29 KFC/AW #526 … PURCHASE AUTHORIZED ON 03/31 UU VISITOR PARKING … ATM WITHDRAWAL AUTHORIZED ON 04/03 Main Street …
my code is
df[['Auth_date', 'Description']] = df['Description'].str.split('(?<=d{2}d{2}).', regex=True)
desired results would be.
Auth_date Description PURCHASE AUTHORIZED ON 03/30 UOFU BOOKSTORE 1 … PURCHASE AUTHORIZED ON 03/29 WM SUPERC Wal-Mart Sup … PURCHASE AUTHORIZED ON 03/29 KFC/AW #526 … PURCHASE AUTHORIZED ON 03/31 UU VISITOR PARKING … ATM WITHDRAWAL AUTHORIZED ON 04/03 Main Street …
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Answer
Given:
Description 0 PURCHASE AUTHORIZED ON 03/30 UOFU BOOKSTORE 1 … 1 PURCHASE AUTHORIZED ON 03/29 WM SUPERC Wal-Mar... 2 PURCHASE AUTHORIZED ON 03/29 KFC/AW #526 … 3 PURCHASE AUTHORIZED ON 03/31 UU VISITOR PARKING … 4 ATM WITHDRAWAL AUTHORIZED ON 04/03 Main Street …
Doing:
df[['Auth_date', 'Description']] = df['Description'].str.split('(?<=d{2}/d{2}).', expand=True, regex=True)
print(df)
Output:
Description Auth_date 0 UOFU BOOKSTORE 1 … PURCHASE AUTHORIZED ON 03/30 1 WM SUPERC Wal-Mart Sup … PURCHASE AUTHORIZED ON 03/29 2 KFC/AW #526 … PURCHASE AUTHORIZED ON 03/29 3 UU VISITOR PARKING … PURCHASE AUTHORIZED ON 03/31 4 Main Street … ATM WITHDRAWAL AUTHORIZED ON 04/03
Works fine for me.