# pandas.api.types.is_int64_dtype

`pandas.api.types.``is_int64_dtype`(arr_or_dtype)

  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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