Split Column containing 2 values into different column in pandas df

Question

i have a table in pandas df

bigram         frequency
(123,3245)       2
(676,35346)      84
(93,32)          9

and so on, till 50 rows.

what i am looking for is, split the bigram column into two different columns removing the brackets and comma like,

col1     col2      frequency
123       3245        2
676       35346       84
93        32          9

is there any way to split if after comma,and removing brackets.

Answer 1

If your bigram column happens to be string format, you can use .str.extract() method with regex to extract numbers from it:

pd.concat([df.bigram.str.extract('(?P<col1>\d+),(?P<col2>\d+)'), df.frequency], axis = 1)

Or if the bigram column is of tuple type:

Method1: use pd.Series to create columns from the tuple:

pd.concat([df.bigram.apply(lambda x: pd.Series(x, index=['col1', 'col2'])), 
           df.frequency], axis=1)

Method2: use .str to get the first and second element from the tuple

df['col1'], df['col2'] = df.bigram.str[0], df.bigram.str[1]
df = df.drop('bigram', axis=1)