Create a Series with both index and values equal to the index keys.
Useful with map for returning an indexer based on an index.
Index of resulting Series. If None, defaults to original index.
Name of resulting Series. If None, defaults to name of original index.
The dtype will be based on the type of the Index values.
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: object
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: object
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: object
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4