Return a list of the values.
These are each a scalar type, which is a Python scalar (for str, int, float) or a pandas scalar (for Timestamp/Timedelta/Interval/Period)
See also
numpy.ndarray.tolistReturn the array as an a.ndim-levels deep nested list of Python scalars.
Examples
For Series
>>> s = pd.Series([1, 2, 3])
>>> s.to_list()
[1, 2, 3]
For Index:
>>> idx = pd.Index([1, 2, 3])
>>> idx
Index([1, 2, 3], dtype='int64')
>>> idx.to_list()
[1, 2, 3]
© 2008–2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
© 2011–2025, Open source contributors
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/2.3.0/reference/api/pandas.Series.to_list.html