to_numpy(self, dtype: 'npt.DTypeLike | None' = None, copy: 'bool' = False, na_value=<no_default>) -> 'np.ndarray'

This is similar to numpy.asarray , but may provide additional control over how the conversion is done.

Parameters

dtype : str or numpy.dtype, optional

The dtype to pass to numpy.asarray .

copy : bool, default False

Whether to ensure that the returned value is a not a view on another array. Note that copy=False does not ensure that to_numpy() is no-copy. Rather, copy=True ensure that a copy is made, even if not strictly necessary.

na_value : Any, optional

The value to use for missing values. The default value depends on dtype and the type of the array.

Returns

numpy.ndarray

Convert to a NumPy ndarray.

Examples

See :

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File: /pandas/core/arrays/base.py#458
type: <class 'function'>
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