is_numeric_v_string_like(a: 'ArrayLike', b)

Parameters

a : array-like, scalar

The first object to check.

b : array-like, scalar

The second object to check.

Returns

boolean

Whether we return a comparing a string-like object to a numeric array.

Check if we are comparing a string-like object to a numeric ndarray. NumPy doesn't like to compare such objects, especially numeric arrays and scalar string-likes.

Examples

This example is valid syntax, but we were not able to check execution

>>> is_numeric_v_string_like(np.array([1]), "foo")
True

This example is valid syntax, but we were not able to check execution

>>> is_numeric_v_string_like(np.array([1, 2]), np.array(["foo"]))
True

This example is valid syntax, but we were not able to check execution

>>> is_numeric_v_string_like(np.array(["foo"]), np.array([1, 2]))
True

This example is valid syntax, but we were not able to check execution

>>> is_numeric_v_string_like(np.array([1]), np.array([2]))
False

This example is valid syntax, but we were not able to check execution

>>> is_numeric_v_string_like(np.array(["foo"]), np.array(["foo"]))
False

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.dtypes.common.is_numeric_v_string_like

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