numpy.strings.isdigit#
- strings.isdigit(x,/,out=None,*,where=True,casting='same_kind',order='K',dtype=None,subok=True[,signature])=<ufunc'isdigit'>#
Returns true for each element if all characters in the string aredigits and there is at least one character, false otherwise.
For byte strings, digits are the byte values in the sequenceb’0123456789’. For Unicode strings, digits include decimalcharacters and digits that need special handling, such as thecompatibility superscript digits. This also covers digits whichcannot be used to form numbers in base 10, like the Kharosthi numbers.
- Parameters:
- xarray_like, with
StringDType,bytes_, orstr_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>>>a=np.array(['a','b','0'])>>>np.strings.isdigit(a)array([False, False, True])>>>a=np.array([['a','b','0'],['c','1','2']])>>>np.strings.isdigit(a)array([[False, False, True], [False, True, True]])