Extensions

These are primarily intended for library authors looking to extend pandas objects.

api.extensions.register_extension_dtype(cls)	Register an ExtensionType with pandas as class decorator.
api.extensions.register_dataframe_accessor(name)	Register a custom accessor on DataFrame objects.
api.extensions.register_series_accessor(name)	Register a custom accessor on Series objects.
api.extensions.register_index_accessor(name)	Register a custom accessor on Index objects.
api.extensions.ExtensionDtype()	A custom data type, to be paired with an ExtensionArray.

api.extensions.ExtensionArray()	Abstract base class for custom 1-D array types.
arrays.PandasArray(values, PandasArray], copy)	A pandas ExtensionArray for NumPy data.

Additionally, we have some utility methods for ensuring your object behaves correctly.

api.indexers.check_array_indexer(array, indexer)

Check if indexer is a valid array indexer for array.

The sentinel pandas.api.extensions.no_default is used as the default value in some methods. Use an is comparison to check if the user provides a non-default value.

pandas.api.types.is_scalar pandas.api.extensions.register_extension_dtype