65 lines
1.5 KiB
Python
65 lines
1.5 KiB
Python
"""Euro area 18 - Total Turnover Index, Manufacture of electrical equipment"""
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import os
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import pandas as pd
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from statsmodels.datasets import utils as du
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__docformat__ = 'restructuredtext'
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COPYRIGHT = """This is public domain."""
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TITLE = __doc__
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SOURCE = """
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Data are from the Statistical Office of the European Commission (Eurostat)
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"""
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DESCRSHORT = """EU Manufacture of electrical equipment"""
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DESCRLONG = DESCRSHORT
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NOTE = """::
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Variable name definitions::
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date - Date in format MMM-1-YYYY
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STS.M.I7.W.TOVT.NS0016.4.000 - Euro area 18 (fixed composition) -
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Total Turnover Index, NACE 26-27; Treatment and coating of metals;
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machining; Manufacture of electrical equipment - NACE Rev2;
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Eurostat; Working day adjusted, not seasonally adjusted
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"""
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def load_pandas():
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data = _get_data()
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return du.Dataset(data=data, names=list(data.columns))
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def load():
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"""
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Load the EU Electrical Equipment manufacturing data into a Dataset 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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The Dataset instance does not contain endog and exog attributes.
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"""
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return load_pandas()
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def _get_data():
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curr_dir = os.path.split(os.path.abspath(__file__))[0]
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data = pd.read_csv(os.path.join(curr_dir, 'elec_equip.csv'))
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data.index = pd.to_datetime(data.pop('DATE'))
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return data
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variable_names = ["elec_equip"]
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def __str__():
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return "elec_equip"
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