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[, copy])	A pandas ExtensionArray for NumPy data.

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

api.indexers.check_bool_array_indexer(array, …)

Check if mask is a valid boolean 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.