findall(self, pat, flags=0)
Equivalent to applying re.findall
to all the elements in the Series/Index.
Pattern or regular expression.
Flags from re
module, e.g. :None:None:`re.IGNORECASE` (default is 0, which means no flags).
All non-overlapping matches of pattern or regular expression in each string of this Series/Index.
Find all occurrences of pattern or regular expression in the Series/Index.
count
Count occurrences of pattern or regular expression in each string of the Series/Index.
extractall
For each string in the Series, extract groups from all matches of regular expression and return a DataFrame with one row for each match and one column for each group.
re.findall
The equivalent re
function to all non-overlapping matches of pattern or regular expression in string, as a list of strings.
>>> s = pd.Series(['Lion', 'Monkey', 'Rabbit'])
The search for the pattern 'Monkey' returns one match:
This example is valid syntax, but we were not able to check execution>>> s.str.findall('Monkey') 0 [] 1 [Monkey] 2 [] dtype: object
On the other hand, the search for the pattern 'MONKEY' doesn't return any match:
This example is valid syntax, but we were not able to check execution>>> s.str.findall('MONKEY') 0 [] 1 [] 2 [] dtype: object
Flags can be added to the pattern or regular expression. For instance, to find the pattern 'MONKEY' ignoring the case:
This example is valid syntax, but we were not able to check execution>>> import re
... s.str.findall('MONKEY', flags=re.IGNORECASE) 0 [] 1 [Monkey] 2 [] dtype: object
When the pattern matches more than one string in the Series, all matches are returned:
This example is valid syntax, but we were not able to check execution>>> s.str.findall('on') 0 [on] 1 [on] 2 [] dtype: object
Regular expressions are supported too. For instance, the search for all the strings ending with the word 'on' is shown next:
This example is valid syntax, but we were not able to check execution>>> s.str.findall('on$') 0 [on] 1 [] 2 [] dtype: object
If the pattern is found more than once in the same string, then a list of multiple strings is returned:
This example is valid syntax, but we were not able to check execution>>> s.str.findall('b') 0 [] 1 [] 2 [b, b] dtype: objectSee :
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