- Series.to_numpy(*args: Any, zero_copy_only: bool = False, writable: bool = False) np.ndarray[Any, Any] #
Convert this Series to numpy. This operation clones data but is completely safe.
If you want a zero-copy view and know what you are doing, use .view().
args will be sent to pyarrow.Array.to_numpy.
If True, an exception will be raised if the conversion to a numpy array would require copying the underlying data (e.g. in presence of nulls, or for non-primitive types).
For numpy arrays created with zero copy (view on the Arrow data), the resulting array is not writable (Arrow data is immutable). By setting this to True, a copy of the array is made to ensure it is writable.
kwargs will be sent to pyarrow.Array.to_numpy
If you are attempting to convert Utf8 to an array you’ll need to install pyarrow.
>>> s = pl.Series("a", [1, 2, 3]) >>> arr = s.to_numpy() >>> arr array([1, 2, 3], dtype=int64) >>> type(arr) <class 'numpy.ndarray'>