pandas.Series.rename¶
-
Series.
rename
(index=None, **kwargs)[source]¶ Alter Series index labels or name
Function / dict values must be unique (1-to-1). Labels not contained in a dict / Series will be left as-is. Extra labels listed don’t throw an error.
Alternatively, change
Series.name
with a scalar value.See the user guide for more.
Parameters: index : scalar, hashable sequence, dict-like or function, optional
dict-like or functions are transformations to apply to the index. Scalar or hashable sequence-like will alter the
Series.name
attribute.copy : boolean, default True
Also copy underlying data
inplace : boolean, default False
Whether to return a new %(klass)s. If True then value of copy is ignored.
level : int or level name, default None
In case of a MultiIndex, only rename labels in the specified level.
Returns: renamed : Series (new object)
See also
Examples
>>> s = pd.Series([1, 2, 3]) >>> s 0 1 1 2 2 3 dtype: int64 >>> s.rename("my_name") # scalar, changes Series.name 0 1 1 2 2 3 Name: my_name, dtype: int64 >>> s.rename(lambda x: x ** 2) # function, changes labels 0 1 1 2 4 3 dtype: int64 >>> s.rename({1: 3, 2: 5}) # mapping, changes labels 0 1 3 2 5 3 dtype: int64