pyspark.pandas.Series.to_dict¶
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Series.to_dict(into: Type = <class 'dict'>) → collections.abc.Mapping[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
- collections.abc.Mapping
Key-value representation of Series.
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([(0, 1), (1, 2), (2, 3), (3, 4)])
>>> dd = defaultdict(list) >>> s.to_dict(dd) defaultdict(<class 'list'>, {...})