65 lines
1.5 KiB
Python
65 lines
1.5 KiB
Python
|
"""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"
|