Always return ndarray · pandas-dev/pandas@7714e79 (original) (raw)

`@@ -739,14 +739,22 @@ def _create_method(cls, op, coerce_to_dtype=True):

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` ----------

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` op : function

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` An operator that takes arguments op(a, b)

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coerce_to_dtype : bool

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coerce_to_dtype : bool, default True

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` boolean indicating whether to attempt to convert

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the result to the underlying ExtensionArray dtype

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(default True)

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the result to the underlying ExtensionArray dtype.

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If it's not possible to create a new ExtensionArray with the

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values, an ndarray is returned instead.

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` Returns

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` -------

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A method that can be bound to a method of a class

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Callable[[Any, Any], Union[ndarray, ExtensionArray]]

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A method that can be bound to a class. When used, the method

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receives the two arguments, one of which is the instance of

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this class, and should return an ExtensionArray or an ndarray.

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+

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Returning an ndarray may be necessary when the result of the

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`` +

op cannot be stored in the ExtensionArray. The dtype of the

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ndarray uses NumPy's normal inference rules.

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` Example

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` -------

`@@ -757,7 +765,6 @@ def _create_method(cls, op, coerce_to_dtype=True):

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` in the class definition of MyExtensionArray to create the operator

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` for addition, that will be based on the operator implementation

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` of the underlying elements of the ExtensionArray

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-

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` """

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`def _binop(self, other):

`@@ -778,7 +785,12 @@ def convert_values(param):

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`try:

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`res = self._from_sequence(res)

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`except Exception:

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res = np.asarray(res, dtype=object)

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https://github.com/pandas-dev/pandas/issues/22850

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We catch all regular exceptions here, and fall back

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to an ndarray.

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res = np.asarray(res)

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else:

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res = np.asarray(res)

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`return res

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