Series.
rename
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.
Series.name
axis ({0 or "index"}) – Unused. Accepted for compatability with DataFrame method only.
index (scalar, hashable sequence, dict-like or function, optional) – Functions or dict-like are transformations to apply to the index. Scalar or hashable sequence-like will alter the Series.name attribute.
**kwargs – Additional keyword arguments passed to the function. Only the “inplace” keyword is used.
Series with index labels or name altered.
Series
参见
DataFrame.rename
Corresponding DataFrame method.
Series.rename_axis
Set the name of the axis.
实际案例
>>> import mars.dataframe as md >>> s = md.Series([1, 2, 3]) >>> s.execute() 0 1 1 2 2 3 dtype: int64 >>> s.rename("my_name").execute() # scalar, changes Series.name.execute() 0 1 1 2 2 3 Name: my_name, dtype: int64 >>> s.rename(lambda x: x ** 2).execute() # function, changes labels.execute() 0 1 1 2 4 3 dtype: int64 >>> s.rename({1: 3, 2: 5}).execute() # mapping, changes labels.execute() 0 1 3 2 5 3 dtype: int64