pandas.Series.to_list#

Series.to_list()[source]#

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)

Returns:

See also

numpy.ndarray.tolist: Return 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]