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.

Deprecated since version 2.1.0: is_int64_dtype is deprecated and will be removed in a future version. Use dtype == np.int64 instead.

Parameters:

arr_or_dtype:array-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

>>> from pandas.api.types import is_int64_dtype
>>> 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