pandas.api.types.is_unsigned_integer_dtype¶
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pandas.api.types.
is_unsigned_integer_dtype
(arr_or_dtype)[source]¶ Check whether the provided array or dtype is of an unsigned integer dtype.
Parameters: arr_or_dtype : array-like
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(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