modin.pandas.Series.to_dict¶

Series.to_dict(into=<class 'dict'>) → dict[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.47.0/.tox/docs/lib/python3.9/site-packages/modin/pandas/series.py#L2177-L2181)¶

Convert Series to {label -> value} dict or dict-like object. Note that this method will pull the data to the client side.

Parameters:: into (class, default dict) – The collections.abc.Mapping subclass to use as the return object. Can be the actual class or an empty instance of the mapping type you want. If you want a collections.defaultdict, you must pass it initialized.
Returns:: Key-value representation of Series.
Return type:: collections.abc.Mapping

Examples

>>> s = pd.Series([1, 2, 3, 4])
>>> s.to_dict()
{0: 1, 1: 2, 2: 3, 3: 4}
>>> from collections import OrderedDict, defaultdict
>>> s.to_dict(OrderedDict)  
OrderedDict([(0, 1), (1, 2), (2, 3), (3, 4)])
>>> dd = defaultdict(list)
>>> s.to_dict(dd)
defaultdict(<class 'list'>, {0: 1, 1: 2, 2: 3, 3: 4})