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pandas.Series.str.rsplit
Series.str.rsplit(pat=None, n=-1, expand=False)
[source]-
Split strings around given separator/delimiter.
Splits the string in the Series/Index from the end, at the specified delimiter string. Equivalent to
str.rsplit()
.Parameters: -
pat : str, optional
-
String or regular expression to split on. If not specified, split on whitespace.
-
n : int, default -1 (all)
-
Limit number of splits in output.
None
, 0 and -1 will be interpreted as return all splits. -
expand : bool, default False
-
Expand the splitted strings into separate columns.
- If
True
, return DataFrame/MultiIndex expanding dimensionality. - If
False
, return Series/Index, containing lists of strings.
- If
Returns: - Series, Index, DataFrame or MultiIndex
-
Type matches caller unless
expand=True
(see Notes).
See also
Series.str.split
- Split strings around given separator/delimiter.
Series.str.rsplit
- Splits string around given separator/delimiter, starting from the right.
Series.str.join
- Join lists contained as elements in the Series/Index with passed delimiter.
str.split
- Standard library version for split.
str.rsplit
- Standard library version for rsplit.
Notes
The handling of the
n
keyword depends on the number of found splits:- If found splits >
n
, make firstn
splits only - If found splits <=
n
, make all splits - If for a certain row the number of found splits <
n
, appendNone
for padding up ton
ifexpand=True
If using
expand=True
, Series and Index callers return DataFrame and MultiIndex objects, respectively.Examples
>>> s = pd.Series(["this is a regular sentence", "https://docs.python.org/3/tutorial/index.html", np.nan])
In the default setting, the string is split by whitespace.
>>> s.str.split() 0 [this, is, a, regular, sentence] 1 [https://docs.python.org/3/tutorial/index.html] 2 NaN dtype: object
Without the
n
parameter, the outputs ofrsplit
andsplit
are identical.>>> s.str.rsplit() 0 [this, is, a, regular, sentence] 1 [https://docs.python.org/3/tutorial/index.html] 2 NaN dtype: object
The
n
parameter can be used to limit the number of splits on the delimiter. The outputs ofsplit
andrsplit
are different.>>> s.str.split(n=2) 0 [this, is, a regular sentence] 1 [https://docs.python.org/3/tutorial/index.html] 2 NaN dtype: object
>>> s.str.rsplit(n=2) 0 [this is a, regular, sentence] 1 [https://docs.python.org/3/tutorial/index.html] 2 NaN dtype: object
The
pat
parameter can be used to split by other characters.>>> s.str.split(pat = "/") 0 [this is a regular sentence] 1 [https:, , docs.python.org, 3, tutorial, index... 2 NaN dtype: object
When using
expand=True
, the split elements will expand out into separate columns. If NaN is present, it is propagated throughout the columns during the split.>>> s.str.split(expand=True) 0 1 2 3 0 this is a regular 1 https://docs.python.org/3/tutorial/index.html None None None 2 NaN NaN NaN NaN 4 0 sentence 1 None 2 NaN
For slightly more complex use cases like splitting the html document name from a url, a combination of parameter settings can be used.
>>> s.str.rsplit("/", n=1, expand=True) 0 1 0 this is a regular sentence None 1 https://docs.python.org/3/tutorial index.html 2 NaN NaN
-
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https://pandas.pydata.org/pandas-docs/version/0.24.2/reference/api/pandas.Series.str.rsplit.html