def test_full_example(self):
series = Series(provider='Test provider',
name='GDP in France',
key='GDP_FR',
datasetCode='nama_gdp_fr',
values=[2700, 2720, 2740, 2760],
releaseDates=[
datetime(2013, 11, 28),
datetime(2014, 12, 28),
datetime(2015, 1, 28),
datetime(2015, 2, 28)
],
period_index=pandas.period_range('1/1999',
periods=72,
freq='Q'),
attributes={
'name': 'OBS_VALUE',
'value': 'p'
},
revisions=[{
'value': 2710,
'position': 2,
'releaseDates': [datetime(2014, 11, 28)]
}],
dimensions=[{
'name': 'Seasonal adjustment',
'value': 'wda'
}])
self.assertIsInstance(series, Series)
def test_empty_revisions(self):
series = Series(provider='Test provider',
name='GDP in Germany',
key='GDP_DE',
datasetCode='nama_gdp_de',
values=[2700, 2720, 2740, 2760],
releaseDates=[
datetime(2013, 11, 28),
datetime(2014, 12, 28),
datetime(2015, 1, 28),
datetime(2015, 2, 28)
],
period_index=pandas.period_range('1/1999',
periods=72,
freq='Q'),
attributes={
'name': 'OBS_VALUE',
'value': 'p'
},
dimensions=[{
'name': 'Seasonal adjustment',
'value': 'wda'
}])
self.assertIsInstance(series, Series)
