Use UuidDtype as a pandas extension dtype:
>>> from uuid import uuid4 >>> import pandas as pd >>> from pandas_uuid import UuidDtype >>> >>> s = pd.Series([uuid4()], dtype=UuidDtype()) >>> s 0 cd072cd8-be6f-4f62-ac4c-09c28206e7e3 dtype: uuid
Use specific storage types by importing UuidArray / ArrowUuidArray, or by using the storage parameter of UuidDtype:
>>> cls = UuidDtype("numpy").construct_array_type()
>>> cls
<class 'pandas_uuid.UuidArray'>
>>> cls.random(2, rng=42)
<UuidArray>
[8826d916-cdfb-41c6-81ff-91a761565a70, 2416da6e-c212-4ddb-8d88-00160eb686b2]
Length: 2, dtype: uuid[4]
For advanced usage, see the Documentation.
Metadata
Release files for pandas-uuid 0.2.0
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Total release size: 50.5 kB
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