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# pandas.Series.to_dict

Series.to_dict(*, into=<class 'dict'>)

  Convert Series to {label -> value} dict or dict-like object.

  Parameters:
    intoclass, default dict

      The collections.abc.MutableMapping 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:
    collections.abc.MutableMapping

      Key-value representation of Series.

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