mars.dataframe.Series.rename¶

Series.rename(index=None, *, axis='index', copy=True, inplace=False, level=None, errors='ignore')¶

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.

参数

axis ({0 or "index"}) – Unused. Accepted for compatibility 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.

返回

Series with index labels or name altered.

返回类型

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

mars.dataframe.Series.reindex_like

mars.dataframe.Series.rename_axis