maxframe.dataframe.Series.to_list#

Series.to_list(batch_size=10000, session=None)#

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

>>> import maxframe.dataframe as md
>>> s = md.Series([1, 2, 3])
>>> s.to_list()
[1, 2, 3]

For Index:

>>> idx = md.Index([1, 2, 3])
>>> idx.execute()
Index([1, 2, 3], dtype='int64')

>>> idx.to_list()
[1, 2, 3]