pandas.DatetimeIndex.to_frame
- DatetimeIndex.to_frame(index=True, name=None)[source]
-
Create a DataFrame with a column containing the Index.
- Parameters
-
- index:bool, default True
-
Set the index of the returned DataFrame as the original Index.
- name:object, default None
-
The passed name should substitute for the index name (if it has one).
- Returns
-
- DataFrame
-
DataFrame containing the original Index data.
See also
Index.to_series
-
Convert an Index to a Series.
Series.to_frame
-
Convert Series to DataFrame.
Examples
>>> idx = pd.Index(['Ant', 'Bear', 'Cow'], name='animal') >>> idx.to_frame() animal animal Ant Ant Bear Bear Cow Cow
By default, the original Index is reused. To enforce a new Index:
>>> idx.to_frame(index=False) animal 0 Ant 1 Bear 2 Cow
To override the name of the resulting column, specify name:
>>> idx.to_frame(index=False, name='zoo') zoo 0 Ant 1 Bear 2 Cow
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.3.4/reference/api/pandas.DatetimeIndex.to_frame.html