pandas.api.types.is_integer_dtype

pandas.api.types.is_integer_dtype(arr_or_dtype)

Check whether the provided array or dtype is of an integer dtype.

Unlike in in_any_int_dtype, timedelta64 instances will return False.

Parameters:

arr_or_dtype : array-like

The array or dtype to check.

Returns:

boolean : Whether or not the array or dtype is of an integer dtype

and not an instance of timedelta64.

Examples

>>> is_integer_dtype(str)
False
>>> is_integer_dtype(int)
True
>>> is_integer_dtype(float)
False
>>> is_integer_dtype(np.uint64)
True
>>> is_integer_dtype(np.datetime64)
False
>>> is_integer_dtype(np.timedelta64)
False
>>> is_integer_dtype(np.array(['a', 'b']))
False
>>> is_integer_dtype(pd.Series([1, 2]))
True
>>> is_integer_dtype(np.array([], dtype=np.timedelta64))
False
>>> is_integer_dtype(pd.Index([1, 2.]))  # float
False