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 CowBy default, the original Index is reused. To enforce a new Index: >>> idx.to_frame(index=False) animal 0 Ant 1 Bear 2 CowTo 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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    https://pandas.pydata.org/pandas-docs/version/1.3.4/reference/api/pandas.DatetimeIndex.to_frame.html