pandas.api.types.is_unsigned_integer_dtype#
- pandas.api.types.is_unsigned_integer_dtype(arr_or_dtype)[source]#
Check whether the provided array or dtype is of an unsigned integer dtype.
The nullable Integer dtypes (e.g. pandas.UInt64Dtype) are also considered as integer by this function.
- Parameters
- arr_or_dtypearray-like or dtype
The array or dtype to check.
- Returns
- boolean
Whether or not the array or dtype is of an unsigned integer dtype.
Examples
>>> is_unsigned_integer_dtype(str) False >>> is_unsigned_integer_dtype(int) # signed False >>> is_unsigned_integer_dtype(float) False >>> is_unsigned_integer_dtype(np.uint64) True >>> is_unsigned_integer_dtype('uint8') True >>> is_unsigned_integer_dtype('UInt8') True >>> is_unsigned_integer_dtype(pd.UInt8Dtype) True >>> is_unsigned_integer_dtype(np.array(['a', 'b'])) False >>> is_unsigned_integer_dtype(pd.Series([1, 2])) # signed False >>> is_unsigned_integer_dtype(pd.Index([1, 2.])) # float False >>> is_unsigned_integer_dtype(np.array([1, 2], dtype=np.uint32)) True