pandas.api.types.is_int64_dtype¶
- pandas.api.types.is_int64_dtype(arr_or_dtype)[source]¶
Check whether the provided array or dtype is of the int64 dtype.
- Parameters:
- arr_or_dtypearray-like or dtype
The array or dtype to check.
- Returns:
- boolean
Whether or not the array or dtype is of the int64 dtype.
Notes
Depending on system architecture, the return value of is_int64_dtype( int) will be True if the OS uses 64-bit integers and False if the OS uses 32-bit integers.
Examples
>>> is_int64_dtype(str) False >>> is_int64_dtype(np.int32) False >>> is_int64_dtype(np.int64) True >>> is_int64_dtype('int8') False >>> is_int64_dtype('Int8') False >>> is_int64_dtype(pd.Int64Dtype) True >>> is_int64_dtype(float) False >>> is_int64_dtype(np.uint64) # unsigned False >>> is_int64_dtype(np.array(['a', 'b'])) False >>> is_int64_dtype(np.array([1, 2], dtype=np.int64)) True >>> is_int64_dtype(pd.Index([1, 2.])) # float False >>> is_int64_dtype(np.array([1, 2], dtype=np.uint32)) # unsigned False