load_shampoo_sales

load_shampoo_sales(return_array=True)

Load the shampoo sales univariate time series dataset for forecasting.

Parameters:

return_arraybool, default=True

return series as an np.ndarray if True, else as a pd.Series.

Returns:

np.ndarray or pd.Series

Shampoo sales dataset

Notes

This dataset describes the monthly number of sales of shampoo over a 3 year period. The units are a sales count.

Dimensionality: univariate Series length: 36 Frequency: Monthly Number of cases: 1

References

[1]

Makridakis, Wheelwright and Hyndman (1998) Forecasting: methods

and applications,

John Wiley & Sons: New York. Chapter 3.

Examples

>>> from aeon.datasets import load_shampoo_sales
>>> y = load_shampoo_sales()
>>> type(y)
<class 'numpy.ndarray'>
>>> y = load_shampoo_sales(return_array=False)
>>> type(y)
<class 'pandas.core.series.Series'>