pyspark.pandas.Series.str.findall¶
-
str.findall(pat: str, flags: int = 0) → pyspark.pandas.series.Series¶ Find all occurrences of pattern or regular expression in the Series.
Equivalent to applying
re.findall()to all the elements in the Series.- Parameters
- patstr
Pattern or regular expression.
- flagsint, default 0 (no flags)
re module flags, e.g. re.IGNORECASE.
- Returns
- Series of object
All non-overlapping matches of pattern or regular expression in each string of this Series.
Examples
>>> s = ps.Series(['Lion', 'Monkey', 'Rabbit'])
The search for the pattern ‘Monkey’ returns one match:
>>> 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:
>>> 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:
>>> 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:
>>> 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:
>>> 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:
>>> s.str.findall('b') 0 [] 1 [] 2 [b, b] dtype: object