xarray.CFTimeIndex.to_series#

CFTimeIndex.to_series(index=None, name=None)[source]#

Create a Series with both index and values equal to the index keys.

Useful with map for returning an indexer based on an index.

Parameters:

  • index (Index, optional) – Index of resulting Series. If None, defaults to original index.

  • name (str, optional) – Name of resulting Series. If None, defaults to name of original index.

Returns:

Series – The dtype will be based on the type of the Index values.

See also

Index.to_frame

Convert an Index to a DataFrame.

Series.to_frame

Convert Series to DataFrame.

Examples

>>> idx = pd.Index(["Ant", "Bear", "Cow"], name="animal")

By default, the original index and original name is reused.

>>> idx.to_series()
animal
Ant      Ant
Bear    Bear
Cow      Cow
Name: animal, dtype: str

To enforce a new index, specify new labels to index:

>>> idx.to_series(index=[0, 1, 2])
0     Ant
1    Bear
2     Cow
Name: animal, dtype: str

To override the name of the resulting column, specify name:

>>> idx.to_series(name="zoo")
animal
Ant      Ant
Bear    Bear
Cow      Cow
Name: zoo, dtype: str