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.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]
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