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'>