modin.pandas.Series.to_dict¶
- Series.to_dict(into: type[dict] = <class 'dict'>) dict[source]¶
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})