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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_dtype : array-like

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(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

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http://pandas.pydata.org/pandas-docs/version/0.20.2/generated/pandas.api.types.is_int64_dtype.html