bundles / numpy 2.5.0.dev0+git20251130.2de293a / numpy / strings / isnumeric
ufunc
numpy.strings:isnumeric
source: build-install/usr/lib/python3.14/site-packages/numpy/__init__.py
Summary
For each element, return True if there are only numeric characters in the element.
Extended Summary
Numeric characters include digit characters, and all characters that have the Unicode numeric value property, e.g. U+2155, VULGAR FRACTION ONE FIFTH.
Parameters
x: array_like, with ``StringDType`` 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
y: ndarrayOutput array of bools This is a scalar if x is a scalar.
Examples
import numpy as np np.strings.isnumeric(['123', '123abc', '9.0', '1/4', 'VIII'])✓
See also
- str.isnumeric
Aliases
-
numpy.char.isnumeric