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Bonte Bruno authored50e23de9
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import numpy as np
from collections import OrderedDict
from experiment.meteo_france_SCM_study.abstract_study import AbstractStudy
class AbstractExtendedStudy(AbstractStudy):
@property
def region_names(self):
return ['Alps', 'Northern Alps', 'Central Alps', 'Southern Alps', 'Extreme South Alps']
@property
def nb_region_names(self):
return len(self.region_names)
@property
def safran_massif_names(self):
return self.region_names + super().safran_massif_names
@property
def massif_name_to_region_name(self):
df_centroid = self.load_df_centroid()
return OrderedDict(zip(df_centroid.index, df_centroid['REGION']))
@property
def region_name_to_massif_ids(self):
region_name_to_massifs_ids = {}
for region_name_loop in self.region_names:
# We use "is in" so that the "Alps" will automatically regroup all the massif data
massif_names_belong_to_the_group = [massif_name
for massif_name, region_name in self.massif_name_to_region_name.items()
if region_name_loop in region_name]
massif_ids_belong_to_the_group = [massif_id
for massif_id, massif_name in
self.original_safran_massif_id_to_massif_name.items()
if massif_name in massif_names_belong_to_the_group]
region_name_to_massifs_ids[region_name_loop] = massif_ids_belong_to_the_group
return region_name_to_massifs_ids
""" Properties """
@property
def _year_to_daily_time_serie(self) -> OrderedDict:
return self._year_to_extended_time_serie(aggregation_function=np.mean)
@property
def _year_to_max_daily_time_serie(self):
return self._year_to_extended_time_serie(aggregation_function=np.max)
def _year_to_extended_time_serie(self, aggregation_function) -> OrderedDict:
year_to_extended_time_serie = OrderedDict()
for year, old_time_serie in super()._year_to_daily_time_serie.items():
new_time_serie = np.zeros([len(old_time_serie), len(self.safran_massif_names)])
new_time_serie[:, self.nb_region_names:] = old_time_serie
for i, region_name in enumerate(self.region_names):
massifs_ids_belong_to_region = self.region_name_to_massif_ids[region_name]
aggregated_time_serie = aggregation_function(old_time_serie[:, massifs_ids_belong_to_region], axis=1)
new_time_serie[:, i] = aggregated_time_serie
year_to_extended_time_serie[year] = new_time_serie
return year_to_extended_time_serie