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