def setUp(self):
importr('fpp')
self.oil_ts = robjects.r('oil')
self.aus_ts = robjects.r('austourists')
self.fc_oil = wrappers.meanf(self.oil_ts)
self.fc_aus = wrappers.ets(self.aus_ts)
self.oil = ts_io.read_series('data/oil.csv')
self.aus = ts_io.read_series('data/aus.csv')
self.data = [0.74, 0.42, 0.22, 0.04, 0.17, 0.37,
0.53, 0.32, 0.82, 0.81, 0.11, 0.79]
self.npdata = numpy.array(self.data)
def setUp(self):
importr('fpp')
self.oil_ts = robjects.r('oil')
self.aus_ts = robjects.r('austourists')
self.fc_oil = wrappers.meanf(self.oil_ts)
self.fc_aus = wrappers.ets(self.aus_ts)
self.oil = ts_io.read_series('data/oil.csv')
self.aus = ts_io.read_series('data/aus.csv')
self.data = [
0.74, 0.42, 0.22, 0.04, 0.17, 0.37, 0.53, 0.32, 0.82, 0.81, 0.11,
0.79
]
self.npdata = numpy.array(self.data)
def test_read_series(self):
# The no-index case:
oil2 = ts_io.read_series('data/oil2.csv')
self.assertEqual(len(oil2), 46)
self.assertListEqual(list(oil2.index), range(1, 46 + 1))
# The non-seasonal index case:
oil = ts_io.read_series('data/oil.csv')
self.assertEqual(len(oil), 46)
self.assertListEqual(list(oil.index), range(1965, 2011))
# The seasonal index case:
aus = ts_io.read_series('data/aus.csv')
self.assertEqual(len(aus), 48)
self.assertEqual(aus.index.nlevels, 2)
# This has 4 columns, and should raise an IOError:
self.assertRaises(IOError, ts_io.read_series, 'data/bad.csv')
def test_read_series(self):
# The no-index case:
oil2 = ts_io.read_series('data/oil2.csv')
self.assertEqual(len(oil2), 46)
self.assertListEqual(list(oil2.index), range(1, 46 + 1))
# The non-seasonal index case:
oil = ts_io.read_series('data/oil.csv')
self.assertEqual(len(oil), 46)
self.assertListEqual(list(oil.index), range(1965, 2011))
# The seasonal index case:
aus = ts_io.read_series('data/aus.csv')
self.assertEqual(len(aus), 48)
self.assertEqual(aus.index.nlevels, 2)
# This has 4 columns, and should raise an IOError:
self.assertRaises(IOError, ts_io.read_series, 'data/bad.csv')
def setUp(self):
self.oil = ts_io.read_series('data/oil.csv')
self.oil_ts = converters.series_as_ts(self.oil)
self.mat = converters.matrix([[1,2,3],[2,3,4]])
self.acc = wrappers.accuracy(wrappers.thetaf(self.oil_ts))
def setUp(self):
self.oil = ts_io.read_series('data/oil.csv')
self.aus = ts_io.read_series('data/aus.csv')
self.austa = ts_io.read_ts('austa', 'fpp')
