bundles / numpy 2.4.3 / numpy / strings / isalnum
ufunc
numpy.strings:isalnum
source: /numpy/__init__.py
Summary
Returns true for each element if all characters in the string are alphanumeric and there is at least one character, false otherwise.
Parameters
x: array_like, with ``StringDType``, ``bytes_`` or ``str_`` dtypeout: ndarray, None, or tuple of ndarray and None, optionalA location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
where: array_like, optionalThis condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized out array is created via the default
out=None, locations within it where the condition is False will remain uninitialized.**kwargsFor other keyword-only arguments, see the
ufunc docs <ufuncs.kwargs>.
Returns
out: ndarrayOutput array of bool This is a scalar if x is a scalar.
Examples
import numpy as np a = np.array(['a', '1', 'a1', '(', '']) np.strings.isalnum(a)✓
See also
- str.isalnum
Aliases
-
numpy.char.isalnum