pandas.Series.to_dict#

Series.to_dict(*, into=<class 'dict'>)[source]#

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.

See also

Series.to_list: Converts Series to a list of the values.
Series.to_numpy: Converts Series to NumPy ndarray.
Series.array: ExtensionArray of the data backing this 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})