numpy.strings.isnumeric#
- strings.isnumeric(x,/,out=None,*,where=True,casting='same_kind',order='K',dtype=None,subok=True[,signature])=<ufunc'isnumeric'>#
For each element, return True if there are only numericcharacters in the element.
Numeric characters include digit characters, and all charactersthat have the Unicode numeric value property, e.g.
U+2155,VULGARFRACTIONONEFIFTH.- Parameters:
- xarray_like, with
StringDTypeorstr_dtype - outndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must havea shape that the inputs broadcast to. If not provided or None,a freshly-allocated array is returned. A tuple (possible only as akeyword argument) must have length equal to the number of outputs.
- wherearray_like, optional
This condition is broadcast over the input. At locations where thecondition is True, theout array will be set to the ufunc result.Elsewhere, theout array will retain its original value.Note that if an uninitializedout array is created via the default
out=None, locations within it where the condition is False willremain uninitialized.- **kwargs
For other keyword-only arguments, see theufunc docs.
- xarray_like, with
- Returns:
- yndarray
Output array of boolsThis is a scalar ifx is a scalar.
See also
Examples
>>>importnumpyasnp>>>np.strings.isnumeric(['123','123abc','9.0','1/4','VIII'])array([ True, False, False, False, False])