cudf.Series.reindex#

Series.reindex( index=None, *, axis: Axis | None = None, method: str | None = None, copy: bool = True, level=None, fill_value: ScalarLike | None = None, limit: int | None = None, tolerance=None, ) → Self[source]#

Conform Series to new index.

Parameters:

indexIndex, Series-convertible, default None: New labels / index to conform to, should be specified using keywords.
axis: int, default None: Unused.
method: Not Supported
copyboolean, default True
level: Not Supported
fill_valueValue to use for missing values.: Defaults to NA, but can be any “compatible” value.
limit: Not Supported
tolerance: Not Supported

Returns:

Series with changed index.

Examples

>>> import cudf
>>> series = cudf.Series([10, 20, 30, 40], index=['a', 'b', 'c', 'd'])
>>> series
a    10
b    20
c    30
d    40
dtype: int64
>>> series.reindex(['a', 'b', 'y', 'z'])
a    10.0
b    20.0
y     NaN
z     NaN
dtype: float64