code: def load_airpassengers(as_series=False, dtype=DTYPE):
      """Monthly airline passengers.
  
      The classic Box & Jenkins airline data. Monthly totals of international
      airline passengers, 1949 to 1960.
  
      Parameters
      ----------
      as_series : bool, optional (default=False)
          Whether to return a Pandas series. If False, will return a 1d
          numpy array.
  
      dtype : type, optional (default=np.float64)
          The type to return for the array. Default is np.float64, which is used
          throughout the package as the default type.
  
      Returns
      -------
      rslt : array-like, shape=(n_samples,)
          The time series vector.
  
      Examples
      --------
      >>> from pmdarima.datasets import load_airpassengers
      >>> load_airpassengers()  # doctest: +SKIP
      np.array([
          112, 118, 132, 129, 121, 135, 148, 148, 136, 119, 104, 118,
          115, 126, 141, 135, 125, 149, 170, 170, 158, 133, 114, 140,
          145, 150, 178, 163, 172, 178, 199, 199, 184, 162, 146, 166,
          171, 180, 193, 181, 183, 218, 230, 242, 209, 191, 172, 194,
          196, 196, 236, 235, 229, 243, 264, 272, 237, 211, 180, 201,
          204, 188, 235, 227, 234, 264, 302, 293, 259, 229, 203, 229,
          242, 233, 267, 269, 270, 315, 364, 347, 312, 274, 237, 278,
          284, 277, 317, 313, 318, 374, 413, 405, 355, 306, 271, 306,
          315, 301, 356, 348, 355, 422, 465, 467, 404, 347, 305, 336,
          340, 318, 362, 348, 363, 435, 491, 505, 404, 359, 310, 337,
          360, 342, 406, 396, 420, 472, 548, 559, 463, 407, 362, 405,
          417, 391, 419, 461, 472, 535, 622, 606, 508, 461, 390, 432])
  
      >>> load_airpassengers(True).head()
      0    112.0
      1    118.0
      2    132.0
      3    129.0
      4    121.0
      dtype: float64
  
      Notes
      -----
      This is monthly data, so *m* should be set to 12 when using in a seasonal
      context.
  
      References
      ----------
      .. [1] Box, G. E. P., Jenkins, G. M. and Reinsel, G. C. (1976)
             "Time Series Analysis, Forecasting and Control. Third Edition."
             Holden-Day. Series G.
      """
      rslt = np.array(
          [
              112,
              118,
              132,
              129,
              121,
              135,
              148,
              148,
              136,
              119,
              104,
              118,
              115,
              126,
              141,
              135,
              125,
              149,
              170,
              170,
              158,
              133,
              114,
              140,
              145,
              150,
              178,
              163,
              172,
              178,
              199,
              199,
              184,
              162,
              146,
              166,
              171,
              180,
              193,
              181,
              183,
              218,
              230,
              242,
              209,
              191,
              172,
              194,
              196,
              196,
              236,
              235,
              229,
              243,
              264,
              272,
              237,
              211,
              180,
              201,
              204,
              188,
              235,
              227,
              234,
              264,
              302,
              293,
              259,
              229,
              203,
              229,
              242,
              233,
              267,
              269,
              270,
              315,
              364,
              347,
              312,
              274,
              237,
              278,
              284,
              277,
              317,
              313,
              318,
              374,
              413,
              405,
              355,
              306,
              271,
              306,
              315,
              301,
              356,
              348,
              355,
              422,
              465,
              467,
              404,
              347,
              305,
              336,
              340,
              318,
              362,
              348,
              363,
              435,
              491,
              505,
              404,
              359,
              310,
              337,
              360,
              342,
              406,
              396,
              420,
              472,
              548,
              559,
              463,
              407,
              362,
              405,
              417,
              391,
              419,
              461,
              472,
              535,
              622,
              606,
              508,
              461,
              390,
              432,
          ]
      ).astype(dtype)
  
      if as_series:
          return pd.Series(rslt)
      return rslt
  
label_desc: Use image node_id 1 for calling a global function with example usage: load_airpassengers(as_series, dtype) and returns: rslt, pd