NestedDtype

Constructor

series.ext_array.NestedExtensionArray(values, *)

Pandas extension array for nested dataframes

Functions

series.ext_array.NestedExtensionArray.dtype	ExtensionArray dtype
series.ext_array.NestedExtensionArray.nbytes	Number of bytes consumed by the data in memory.
series.ext_array.NestedExtensionArray.list_array	Pyarrow chunked list-struct array representation
series.ext_array.NestedExtensionArray.struct_array	Pyarrow chunked struct-list array representation
series.ext_array.NestedExtensionArray.pa_table	Pyarrow table representation of the extension array.
series.ext_array.NestedExtensionArray.list_offsets	The list offsets of the field arrays.
series.ext_array.NestedExtensionArray.field_names	Names of the nested columns
series.ext_array.NestedExtensionArray.list_lengths	Lengths of the list arrays
series.ext_array.NestedExtensionArray.flat_length	Length of the flat arrays
series.ext_array.NestedExtensionArray.num_chunks	Number of chunk_lens in underlying pyarrow.ChunkedArray
series.ext_array.NestedExtensionArray.to_numpy(...)	Convert the extension array to a numpy array.
series.ext_array.NestedExtensionArray.isna()	Boolean NumPy array indicating if each value is missing.
series.ext_array.NestedExtensionArray.take(...)	Take elements from an array.
series.ext_array.NestedExtensionArray.copy()	Return a copy of the extension array.
series.ext_array.NestedExtensionArray.equals(other)	Check equality with another NestedExtensionArray.
series.ext_array.NestedExtensionArray.dropna()	Return a new ExtensionArray with missing values removed.
series.ext_array.NestedExtensionArray.from_sequence(...)	Construct a NestedExtensionArray from a sequence of items
series.ext_array.NestedExtensionArray.to_arrow_ext_array([...])	Convert the extension array to pandas' ArrowExtensionArray
series.ext_array.NestedExtensionArray.to_pyarrow_scalar([...])	Convert to a pyarrow scalar of a list type
series.ext_array.NestedExtensionArray.get_list_index()	Keys mapping values to lists
series.ext_array.NestedExtensionArray.iter_field_lists(field)	Iterate over single field nested lists, as numpy arrays
series.ext_array.NestedExtensionArray.view_fields(fields)	Get a view of the extension array with the specified fields only
series.ext_array.NestedExtensionArray.set_flat_field(...)	Set the field from flat-array of values
series.ext_array.NestedExtensionArray.set_list_field(...)	Set the field from list-array
series.ext_array.NestedExtensionArray.fill_field_lists(...)	Fill list-arrays with values from the input array
series.ext_array.NestedExtensionArray.pop_fields(fields)	Delete fields from the struct array
series.ext_array.NestedExtensionArray.is_input_pa_type_supported(pa_type)	Check whether a pyarrow data type is supported by the constructor.