load_airline¶
- load_airline(return_array=True)[source]¶
Load the airline univariate time series dataset [1].
- Parameters:
- return_arraybool, default=True
return series as an np.ndarray if True, else as a pd.Series.
- Returns:
- np.ndarray or pd.Series
Airline time series
Notes
The classic Box & Jenkins airline data. Monthly totals of international airline passengers, 1949 to 1960.
Dimensionality: univariate Series length: 144 Frequency: Monthly Number of cases: 1
This data shows an increasing trend, non-constant (increasing) variance and periodic, seasonal patterns.
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.
Examples
>>> from aeon.datasets import load_airline >>> y = load_airline() >>> type(y) <class 'numpy.ndarray'> >>> y = load_airline(return_array=False) >>> type(y) <class 'pandas.core.series.Series'>