pyspark.pandas.Series.to_dict#

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

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

Note

This method should only be used if the resulting pandas DataFrame is expected to be small, as all the data is loaded into the driver’s memory.

Parameters:

intoclass, 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:

Examples

>>> s = ps.Series([1, 2, 3, 4])
>>> s_dict = s.to_dict()
>>> sorted(s_dict.items())
[(0, 1), (1, 2), (2, 3), (3, 4)]

>>> from collections import OrderedDict, defaultdict
>>> s.to_dict(OrderedDict)
OrderedDict(...)

>>> dd = defaultdict(list)
>>> s.to_dict(dd)
defaultdict(<class 'list'>, {...})