Python read_series Examples

Example #1

File: test_converters.py Project: Leoyzen/Python-wrapper-for-R-Forecast

 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)

Example #2

File: test_converters.py Project: smart-patrol/Python-wrapper-for-R-Forecast

 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)

Example #3

    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')

Example #4

File: test_io.py Project: Leoyzen/Python-wrapper-for-R-Forecast

  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')

Example #5

File: test_rbase.py Project: smart-patrol/Python-wrapper-for-R-Forecast

 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))

Example #6

File: test_all.py Project: Leoyzen/Python-wrapper-for-R-Forecast

 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')