pmdarima.datasets.load_sunspots
- pmdarima.datasets.load_sunspots(as_series=False, dtype=<class 'numpy.float64'>)[source][source]
Monthly Sunspot Numbers, 1749 - 1983
Monthly mean relative sunspot numbers from 1749 to 1983. Collected at Swiss Federal Observatory, Zurich until 1960, then Tokyo Astronomical Observatory.
- Parameters:
as_series : bool, optional (default=False)
Whether to return a Pandas series. If True, the index will be set to the observed years/months. 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 sunspots dataset. There are 2820 observations.
Notes
This is monthly data, so m should be set to 12 when using in a seasonal context.
References
Examples
>>> from pmdarima.datasets import load_sunspots >>> load_sunspots() array([58. , 62.6, 70. , ..., 55.8, 33.3, 33.4])
>>> load_sunspots(True).head() Jan 1749 58.0 Feb 1749 62.6 Mar 1749 70.0 Apr 1749 55.7 May 1749 85.0 dtype: float64
