Extensions — pandas 2.2.3 documentation (original) (raw)
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. |
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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.