bigframes.geopandas.GeoSeries.to_dict#
- GeoSeries.to_dict(into: type[dict] = <class 'dict'>, *, allow_large_results: bool | None = None) Mapping#
Convert Series to {label -> value} dict or dict-like object.
Examples:
>>> from collections import OrderedDict, defaultdict
>>> s = bpd.Series([1, 2, 3, 4]) >>> s.to_dict() {np.int64(0): 1, np.int64(1): 2, np.int64(2): 3, np.int64(3): 4}
>>> s.to_dict(into=OrderedDict) OrderedDict({np.int64(0): 1, np.int64(1): 2, np.int64(2): 3, np.int64(3): 4})
>>> dd = defaultdict(list) >>> s.to_dict(into=dd) defaultdict(<class 'list'>, {np.int64(0): 1, np.int64(1): 2, np.int64(2): 3, np.int64(3): 4})
- 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.
allow_large_results (bool, default None) – If not None, overrides the global setting to allow or disallow large query results over the default size limit of 10 GB.
- Returns:
Key-value representation of Series.
- Return type: