def _get_load(self):
     if options.gef_zone is None:
         load = gef12.load()
     else:
         load = gef12.load_solved_non_nan().load['zone_{}'.format(
             options.gef_zone)]
     return pd.DataFrame({'Load': load})
Esempio n. 2
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def load():
    global bcall, dist, gef, gef_1, gef_3, gef_sys
    bcall = bc.load_remove_zeros()
    bcall = bcall / 1000
    dist = ul.total_experiment_load()[0]['Load']
    gef = gefcom.load_solved_non_nan().load
    gef_1 = gef['zone_1']
    gef_3 = gef['zone_3']
    gef_sys = gef.sum(axis=1)
def load_gef_dataset():
    gefdata = gefcom.load_solved_non_nan()
    gef1 = pd.DataFrame({'Load': gefdata.load.zone_1,
                         'Temperature': gefdata.temp.station_2})
    gef3 = pd.DataFrame({'Load': gefdata.load.zone_3,
                         'Temperature': gefdata.temp.station_11})
    gef_sys = pd.DataFrame({'Load': gefdata.load.sum(axis=1),
                         'Temperature': gefdata.temp.mean(axis=1)})
    return gef1, gef3, gef_sys
Esempio n. 4
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def load():
    global bcall, dist, gef, gef_1, gef_3, gef_sys
    bcall = bc.load_remove_zeros()
    bcall = bcall / 1000
    dist = ul.total_experiment_load()[0]['Load']
    gef = gefcom.load_solved_non_nan().load
    gef_1 = gef['zone_1']
    gef_3 = gef['zone_3']
    gef_sys = gef.sum(axis=1)
def load_gef_dataset():
    gefdata = gefcom.load_solved_non_nan()
    gef1 = pd.DataFrame({
        'Load': gefdata.load.zone_1,
        'Temperature': gefdata.temp.station_2
    })
    gef3 = pd.DataFrame({
        'Load': gefdata.load.zone_3,
        'Temperature': gefdata.temp.station_11
    })
    gef_sys = pd.DataFrame({
        'Load': gefdata.load.sum(axis=1),
        'Temperature': gefdata.temp.mean(axis=1)
    })
    return gef1, gef3, gef_sys
 def __init__(self, *args):
     self._temp = gef12.load_solved_non_nan().temp
     self._temp_columns = self._temp.columns
     GEFCOMSolvedNonNanMeanTempDataset.__init__(self, *args)
 def __init__(self, *args):
     self._temp = gef12.load_solved_non_nan().temp
     self._temp_columns = self._temp.columns
     GEFCOMSolvedNonNanMeanTempDataset.__init__(self, *args)
 def _get_load(self):
     if options.gef_zone is None:
         load = gef12.load()
     else:
         load = gef12.load_solved_non_nan().load['zone_{}'.format(options.gef_zone)]
     return pd.DataFrame({'Load': load})