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.NumpyExtensionArray(values[, 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.
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