Export

Export DataFrame data to other formats:

DataFrame.__array__([dtype, copy])	Return a NumPy ndarray with the given data type.
DataFrame.__arrow_c_stream__([requested_schema])	Export a DataFrame via the Arrow PyCapsule Interface.
DataFrame.__dataframe__([nan_as_null, ...])	Convert to a dataframe object implementing the dataframe interchange protocol.
DataFrame.to_arrow(*[, compat_level])	Collect the underlying arrow arrays in an Arrow Table.
DataFrame.to_dict(*[, as_series])	Convert DataFrame to a dictionary mapping column name to values.
DataFrame.to_dicts()	Convert every row to a dictionary of Python-native values.
DataFrame.to_init_repr([n])	Convert DataFrame to instantiable string representation.
DataFrame.to_jax([return_type, device, ...])	Convert DataFrame to a Jax Array, or dict of Jax Arrays.
DataFrame.to_numpy(*[, order, writable, ...])	Convert this DataFrame to a NumPy ndarray.
DataFrame.to_pandas(*[, ...])	Convert this DataFrame to a pandas DataFrame.
DataFrame.to_struct([name])	Convert a DataFrame to a Series of type Struct.
DataFrame.to_torch([return_type, label, ...])	Convert DataFrame to a PyTorch Tensor, Dataset, or dict of Tensors.