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bundles / numpy latest / 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_`` 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

y : ndarray

Output 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