finding all regex matches from a pandas dataframe column

Question

i am trying to extract some data from a dataframe, however following query only extract the first match and ignores the rest of the matches, for example if the entire data i

Answer 1

you can use Series.str.extractall() method:

In [57]: x
Out[57]:
                                                    value
0  123 blah blah blah 456 blah blah blah 129kfj blah blah
1  237 blah blah blah 438 blah blah blah 365kfj blah blah

In [58]: x['newCol'] = x['value'].str.extractall(r'(\d{3})').unstack().apply(','.join, 1)

In [59]: x
Out[59]:
                                                    value       newCol
0  123 blah blah blah 456 blah blah blah 129kfj blah blah  123,456,129
1  237 blah blah blah 438 blah blah blah 365kfj blah blah  237,438,365

UPDATE:

In [77]: x
Out[77]:
                                                      value
0  123 blah blah blah, 456 blah blah blah, 129kfj blah blah
1  237 blah blah blah, 438 blah blah blah, 365kfj blah blah

In [78]: x['value'].str.extractall(r'(\d{3})').unstack().apply(','.join, 1)
Out[78]:
0    123,456,129
1    237,438,365
dtype: object