You are viewing an older version (2.4.3). Go to latest (2.4.4)
{ } Raw JSON

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_`` dtype
out : ndarray, None, or tuple of ndarray and None, optional

A 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, optional

This 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.

**kwargs

For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs>.

Returns

out : ndarray

Output 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