61 lines
1.5 KiB
Python
61 lines
1.5 KiB
Python
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"""Yearly sunspots data 1700-2008"""
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from statsmodels.datasets import utils as du
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__docformat__ = 'restructuredtext'
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COPYRIGHT = """This data is public domain."""
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TITLE = __doc__
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SOURCE = """
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http://www.ngdc.noaa.gov/stp/solar/solarda3.html
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The original dataset contains monthly data on sunspot activity in the file
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./src/sunspots_yearly.dat. There is also sunspots_monthly.dat.
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"""
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DESCRSHORT = """Yearly (1700-2008) data on sunspots from the National
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Geophysical Data Center."""
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DESCRLONG = DESCRSHORT
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NOTE = """::
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Number of Observations - 309 (Annual 1700 - 2008)
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Number of Variables - 1
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Variable name definitions::
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SUNACTIVITY - Number of sunspots for each year
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The data file contains a 'YEAR' variable that is not returned by load.
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"""
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def load_pandas():
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data = _get_data()
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# TODO: time series
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endog = data.set_index(data.YEAR).SUNACTIVITY
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dataset = du.Dataset(data=data, names=list(data.columns),
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endog=endog, endog_name='volume')
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return dataset
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def load():
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"""
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Load the yearly sunspot data and returns a data class.
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Returns
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-------
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Dataset
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See DATASET_PROPOSAL.txt for more information.
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Notes
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-----
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This dataset only contains data for one variable, so the attributes
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data, raw_data, and endog are all the same variable. There is no exog
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attribute defined.
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"""
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return load_pandas()
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def _get_data():
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return du.load_csv(__file__, 'sunspots.csv').astype(float)
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