Pandas._frame — Pandas 1.4.3 Documentation

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pandas.DatetimeIndex.to_frame# DatetimeIndex.to_frame(index=True, name=<no_default>)[source]#

Create a DataFrame with a column containing the Index.

Parameters: indexbool, default True

Set the index of the returned DataFrame as the original Index.

nameobject, defaults to index.name

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 On this page
  • DatetimeIndex.to_frame()
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