diff --git a/extreme_data/meteo_france_data/adamont_data/adamont/adamont_snowfall.py b/extreme_data/meteo_france_data/adamont_data/adamont/adamont_snowfall.py
index 6f24a2613587d31927e654f10a55efc95f5ad59d..822136ea6d190e518eafe47c8f6fcde4a27571d2 100644
--- a/extreme_data/meteo_france_data/adamont_data/adamont/adamont_snowfall.py
+++ b/extreme_data/meteo_france_data/adamont_data/adamont/adamont_snowfall.py
@@ -1,13 +1,7 @@
-import numpy as np
-
from extreme_data.meteo_france_data.adamont_data.abstract_adamont_study import AbstractAdamontStudy
-from extreme_data.meteo_france_data.adamont_data.adamont_scenario import AdamontScenario
from extreme_data.meteo_france_data.adamont_data.adamont.adamont_variables import \
SafranSnowfallSimulationVariable
-from extreme_data.meteo_france_data.scm_models_data.abstract_study import YEAR_MIN, YEAR_MAX
-from extreme_data.meteo_france_data.scm_models_data.abstract_variable import AbstractVariable
-from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day
-from extreme_data.meteo_france_data.scm_models_data.safran.safran_variable import SafranSnowfallVariable
+from extreme_data.meteo_france_data.adamont_data.adamont_scenario import AdamontScenario
from extreme_data.meteo_france_data.scm_models_data.utils import Season, FrenchRegion
diff --git a/extreme_data/meteo_france_data/adamont_data/deprecated/ensemble_simulation.py b/extreme_data/meteo_france_data/adamont_data/deprecated/ensemble_simulation.py
deleted file mode 100644
index bde64857e9a074cb94c17c2ca1e8c03c2c6d7398..0000000000000000000000000000000000000000
--- a/extreme_data/meteo_france_data/adamont_data/deprecated/ensemble_simulation.py
+++ /dev/null
@@ -1,95 +0,0 @@
-import os
-from typing import List
-import os.path as op
-
-import numpy as np
-from cached_property import cached_property
-
-from extreme_data.meteo_france_data.adamont_data.deprecated.single_simulation import SingleSimulation
-
-ADAMONT_PATH = r"/home/erwan/Documents/projects/spatiotemporalextremes/local/spatio_temporal_datasets/ADAMONT"
-
-
-class EnsembleSimulation(object):
-
- def __init__(self, scenario='HISTO', parameter='SNOWSWE',
- first_winter_required_for_histo=1958, last_winter_for_histo=2004):
- assert False, 'RE-read the code to take into the new dates'
- self.scenario = scenario
- self.parameter = parameter
- self.first_winter_required_for_histo = first_winter_required_for_histo
- self.last_year_for_histo = last_winter_for_histo
-
- # Assert value for the parameter
- assert scenario in ['HISTO', 'RCP45']
- assert parameter in ['SNOWSWE']
- assert first_winter_required_for_histo >= 1950
- assert first_winter_required_for_histo <= 2004
-
- # Load simulations
- # todo: so far i am using one ensemble member
- print('single ensemble member', self.nc_files[0])
- self.simulations = [SingleSimulation(nc_path, self.parameter,
- self.first_winter_required_for_histo,
- self.last_year_for_histo) for nc_path in self.nc_paths][:1]
-
- @cached_property
- def simulations_path(self):
- return op.join(ADAMONT_PATH, self.parameter, self.scenario)
-
- @cached_property
- def nc_paths(self):
- return [op.join(ADAMONT_PATH, self.parameter, self.scenario, nc_file) for nc_file in self.nc_files]
-
- @cached_property
- def nc_files(self) -> List[str]:
- nc_files = []
- for file in os.listdir(self.simulations_path):
- first_year = int(file.split('_')[-3][:4])
- if first_year <= self.first_winter_required_for_histo:
- # Also remove the historical simulations that contain "CNRM-CM5"
- # Problem reported in "limitations" on their website
- # Ce problème affecte toutes lessimulations HISTORIQUE CORDEX
- # réalisées en utilisant le forçage CNRM-CM5: CCLM4-8-17: ALADIN53 et RCA4
- if self.scenario == 'HISTO' and 'CNRM-CM5' in file:
- print('here', file)
- continue
- nc_files.append(file)
- assert len(nc_files) > 0
- return nc_files
-
- @cached_property
- def simulations_names(self):
- return [' + '.join(file.split('_')[2:-5]) for file in self.nc_files]
-
- def massif_name_and_altitude_to_mean_return_level(self):
- return {}
-
- @property
- def first_simulation(self):
- return self.simulations[0]
-
- @property
- def massif_name_and_altitude(self):
- pass
-
- @cached_property
- def massif_name_and_altitude_to_mean_average_annual_maxima(self):
- d = {}
- for m, a in self.first_simulation.massif_name_and_altitude_to_average_maxima.keys():
- d[(m, a)] = np.mean([s.massif_name_and_altitude_to_average_maxima[(m, a)] for s in self.simulations])
- return d
-
-
-if __name__ == '__main__':
- # np.array(d.variables['SNOWSWE'])
- ensemble = EnsembleSimulation(first_winter_required_for_histo=1958)
- print(len(ensemble.simulations))
- print(ensemble.simulations_names)
- s = ensemble.first_simulation
- d = s.dataset
- # print(s.massif_name_and_altitude_to_annual_maxima_time_series)
- # print(s.massif_name_and_altitude_to_average_maxima)
- print(ensemble.massif_name_and_altitude_to_mean_average_annual_maxima)
- print(s.years)
- # print(d)
diff --git a/extreme_data/meteo_france_data/adamont_data/deprecated/single_simulation.py b/extreme_data/meteo_france_data/adamont_data/deprecated/single_simulation.py
deleted file mode 100644
index 7ba82ed8f9ed667c8b811ca3f8bc7ceef70bd492..0000000000000000000000000000000000000000
--- a/extreme_data/meteo_france_data/adamont_data/deprecated/single_simulation.py
+++ /dev/null
@@ -1,86 +0,0 @@
-from datetime import datetime
-
-import numpy as np
-import os.path as op
-from cached_property import cached_property
-from netCDF4._netCDF4 import Dataset
-from datetime import timedelta
-
-from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
-
-
-class SingleSimulation(object):
-
- def __init__(self, nc_path, parameter, fist_year, last_year):
- self.fist_year = fist_year
- self.last_year = last_year
- self.parameter = parameter
- self.nc_path = nc_path
-
- @cached_property
- def dataset(self):
- return Dataset(self.nc_path)
-
- @cached_property
- def winter_year(self):
- start = datetime(year=1900, month=1, day=1, hour=0, minute=0, second=0)
- seconds_after_start = np.array(self.dataset.variables['TIME'])
- dates = [start + timedelta(seconds=s) for s in seconds_after_start]
- winter_year = [date.year - 1 if date.month < 8 else date.year for date in dates]
- return np.array(winter_year)
-
- @cached_property
- def years(self):
- return sorted([year for year in set(self.winter_year) if self.fist_year <= year <= self.last_year])
-
- def massif_name_and_altitude_to_return_level(self):
- return {}
-
- @property
- def massif_number_to_massif_name(self):
- # from adamont_data metadata
- s = """1 Chablais
- 2 Aravis
- 3 Mont-Blanc
- 4 Bauges
- 5 Beaufortain
- 6 Haute-Tarentaise
- 7 Chartreuse
- 8 Belledonne
- 9 Maurienne
- 10 Vanoise
- 11 Haute-Maurienne
- 12 Grandes-Rousses
- 13 Thabor
- 14 Vercors
- 15 Oisans
- 16 Pelvoux
- 17 Queyras
- 18 Devoluy
- 19 Champsaur
- 20 Parpaillon
- 21 Ubaye
- 22 Haut_Var-Haut_Verdon
- 23 Mercantour"""
- l = s.split('\n')
- return dict([e.split() for e in l])
-
- @cached_property
- def massif_name_and_altitude_to_annual_maxima_time_series(self):
- all_values = np.array(self.dataset.variables[self.parameter])
- zs_list = [int(e) for e in np.array(self.dataset.variables['ZS'])]
- massif_number_list = np.array(self.dataset.variables['MASSIF_NUMBER'])
- massif_name_list = [self.massif_number_to_massif_name[str(n)] for n in massif_number_list]
- d = {}
- for year in self.years:
- indexes = np.where(self.winter_year == year)[0]
- winter_values = all_values[indexes, 0, :]
- assert len(winter_values) in [365, 366]
- for time_serie, zs, massif_name in zip(winter_values.transpose(), zs_list, massif_name_list):
- # print(zs, massif_name, len(time_serie))
- d[(massif_name, zs)] = time_serie
- return d
-
- @cached_property
- def massif_name_and_altitude_to_average_maxima(self):
- return {t: np.mean(s) for t, s in self.massif_name_and_altitude_to_annual_maxima_time_series.items()}
diff --git a/projects/altitude_spatial_model/altitudes_fit/altitudes_studies.py b/extreme_data/meteo_france_data/scm_models_data/altitudes_studies.py
similarity index 100%
rename from projects/altitude_spatial_model/altitudes_fit/altitudes_studies.py
rename to extreme_data/meteo_france_data/scm_models_data/altitudes_studies.py
diff --git a/extreme_data/meteo_france_data/scm_models_data/case_studies/ribatet/day_for_the_maxima_v1.py b/extreme_data/meteo_france_data/scm_models_data/case_studies/ribatet/day_for_the_maxima_v1.py
index f11d41fecc3884a41aab920ef4a8b24aa706efeb..a19f68f72ac0fd5657fae284ffdb02fae9d4dadb 100644
--- a/extreme_data/meteo_france_data/scm_models_data/case_studies/ribatet/day_for_the_maxima_v1.py
+++ b/extreme_data/meteo_france_data/scm_models_data/case_studies/ribatet/day_for_the_maxima_v1.py
@@ -1,16 +1,9 @@
import pandas as pd
-import numpy as np
-import xlsxwriter
-
-from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
-from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusDepth, CrocusSwe3Days
-from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day, SafranSnowfall3Days
-from extreme_data.meteo_france_data.scm_models_data.utils import FrenchRegion
+from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day
from extreme_data.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
SCM_STUDY_CLASS_TO_ABBREVIATION
-from extreme_fit.estimator.margin_estimator.utils import fitted_stationary_gev
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
def generate_excel_with_annual_maxima(fast=True, maxima_dates=False):
diff --git a/extreme_data/meteo_france_data/scm_models_data/case_studies/ribatet/day_for_the_maxima_v2.py b/extreme_data/meteo_france_data/scm_models_data/case_studies/ribatet/day_for_the_maxima_v2.py
index 89bc87c49ddc325dfd9ee16f4cc678799f17aeff..6b9359d6e4a1bb34ab73989a1cba91c488f6441f 100644
--- a/extreme_data/meteo_france_data/scm_models_data/case_studies/ribatet/day_for_the_maxima_v2.py
+++ b/extreme_data/meteo_france_data/scm_models_data/case_studies/ribatet/day_for_the_maxima_v2.py
@@ -1,16 +1,10 @@
import pandas as pd
import numpy as np
-import xlsxwriter
-
-from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
-from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusDepth, CrocusSwe3Days
-from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day, SafranSnowfall3Days
-from extreme_data.meteo_france_data.scm_models_data.utils import FrenchRegion
+from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day
from extreme_data.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
SCM_STUDY_CLASS_TO_ABBREVIATION
-from extreme_fit.estimator.margin_estimator.utils import fitted_stationary_gev
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
def generate_excel_with_annual_maxima(fast=True, maxima_dates=False):
diff --git a/extreme_data/meteo_france_data/adamont_data/deprecated/__init__.py b/extreme_trend/trend_test/__init__.py
similarity index 100%
rename from extreme_data/meteo_france_data/adamont_data/deprecated/__init__.py
rename to extreme_trend/trend_test/__init__.py
diff --git a/extreme_trend/abstract_gev_trend_test.py b/extreme_trend/trend_test/abstract_gev_trend_test.py
similarity index 100%
rename from extreme_trend/abstract_gev_trend_test.py
rename to extreme_trend/trend_test/abstract_gev_trend_test.py
diff --git a/extreme_trend/trend_test_one_parameter/__init__.py b/extreme_trend/trend_test/trend_test_one_parameter/__init__.py
similarity index 100%
rename from extreme_trend/trend_test_one_parameter/__init__.py
rename to extreme_trend/trend_test/trend_test_one_parameter/__init__.py
diff --git a/extreme_trend/trend_test_one_parameter/abstract_comparison_non_stationary_model.py b/extreme_trend/trend_test/trend_test_one_parameter/abstract_comparison_non_stationary_model.py
similarity index 86%
rename from extreme_trend/trend_test_one_parameter/abstract_comparison_non_stationary_model.py
rename to extreme_trend/trend_test/trend_test_one_parameter/abstract_comparison_non_stationary_model.py
index cbf6789a50a5197af53baff22667018a8f0ca5d1..d73123f32ae8e5a9efd67539316ba07dc05bfff3 100644
--- a/extreme_trend/trend_test_one_parameter/abstract_comparison_non_stationary_model.py
+++ b/extreme_trend/trend_test/trend_test_one_parameter/abstract_comparison_non_stationary_model.py
@@ -1,12 +1,11 @@
from extreme_data.eurocode_data.utils import EUROCODE_QUANTILE
-from extreme_trend.trend_test_one_parameter.gev_trend_test_one_parameter import \
+from extreme_trend.trend_test.trend_test_one_parameter.gev_trend_test_one_parameter import \
GevTrendTestOneParameter
-from extreme_trend.trend_test_two_parameters.gev_trend_test_two_parameters import GevLocationAndScaleTrendTest
+from extreme_trend.trend_test.trend_test_two_parameters import GevLocationAndScaleTrendTest
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
from extreme_fit.model.margin_model.linear_margin_model.temporal_linear_margin_models import \
NonStationaryLocationTemporalModel, NonStationaryScaleTemporalModel
-import numpy as np
class AbstractComparisonNonStationaryModelOneParameter(GevTrendTestOneParameter):
diff --git a/extreme_trend/trend_test_one_parameter/gev_trend_test_one_parameter.py b/extreme_trend/trend_test/trend_test_one_parameter/gev_trend_test_one_parameter.py
similarity index 98%
rename from extreme_trend/trend_test_one_parameter/gev_trend_test_one_parameter.py
rename to extreme_trend/trend_test/trend_test_one_parameter/gev_trend_test_one_parameter.py
index 412242149b65404bf28201209ffe42d04ed41cca..775c406ce21b32f483e8d1a26d192037cbd267a0 100644
--- a/extreme_trend/trend_test_one_parameter/gev_trend_test_one_parameter.py
+++ b/extreme_trend/trend_test/trend_test_one_parameter/gev_trend_test_one_parameter.py
@@ -1,5 +1,5 @@
from extreme_data.eurocode_data.utils import EUROCODE_QUANTILE
-from extreme_trend.abstract_gev_trend_test import AbstractGevTrendTest
+from extreme_trend.trend_test.abstract_gev_trend_test import AbstractGevTrendTest
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
from extreme_fit.model.margin_model.linear_margin_model.temporal_linear_margin_models import \
diff --git a/extreme_trend/trend_test_one_parameter/gumbel_trend_test_one_parameter.py b/extreme_trend/trend_test/trend_test_one_parameter/gumbel_trend_test_one_parameter.py
similarity index 97%
rename from extreme_trend/trend_test_one_parameter/gumbel_trend_test_one_parameter.py
rename to extreme_trend/trend_test/trend_test_one_parameter/gumbel_trend_test_one_parameter.py
index b9a066062694f56c4813897137a07c6fa4ed1fc2..3186a3b9ccb1c324267ffb9aad921d24ddc1e264 100644
--- a/extreme_trend/trend_test_one_parameter/gumbel_trend_test_one_parameter.py
+++ b/extreme_trend/trend_test/trend_test_one_parameter/gumbel_trend_test_one_parameter.py
@@ -1,6 +1,6 @@
# Comparison with the Gumbel model
from extreme_data.eurocode_data.utils import EUROCODE_QUANTILE
-from extreme_trend.trend_test_one_parameter.gev_trend_test_one_parameter import \
+from extreme_trend.trend_test.trend_test_one_parameter.gev_trend_test_one_parameter import \
GevTrendTestOneParameter, GevTrendTestOneParameterAgainstStationary
from extreme_fit.distribution.gev.gev_params import GevParams
from extreme_fit.model.margin_model.utils import \
diff --git a/extreme_trend/trend_test_three_parameters/__init__.py b/extreme_trend/trend_test/trend_test_three_parameters/__init__.py
similarity index 100%
rename from extreme_trend/trend_test_three_parameters/__init__.py
rename to extreme_trend/trend_test/trend_test_three_parameters/__init__.py
diff --git a/extreme_trend/trend_test_three_parameters/gev_trend_test_three_parameters.py b/extreme_trend/trend_test/trend_test_three_parameters/gev_trend_test_three_parameters.py
similarity index 97%
rename from extreme_trend/trend_test_three_parameters/gev_trend_test_three_parameters.py
rename to extreme_trend/trend_test/trend_test_three_parameters/gev_trend_test_three_parameters.py
index 6e0ac523859c9a044a9820bb8a136174fb6fdbb3..2f35f13bf81649b1cf8c7da08c0e99443c63e902 100644
--- a/extreme_trend/trend_test_three_parameters/gev_trend_test_three_parameters.py
+++ b/extreme_trend/trend_test/trend_test_three_parameters/gev_trend_test_three_parameters.py
@@ -3,7 +3,7 @@ from extreme_fit.model.margin_model.polynomial_margin_model.polynomial_margin_mo
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
from extreme_data.eurocode_data.utils import EUROCODE_QUANTILE
-from extreme_trend.abstract_gev_trend_test import AbstractGevTrendTest
+from extreme_trend.trend_test.abstract_gev_trend_test import AbstractGevTrendTest
from extreme_fit.model.margin_model.linear_margin_model.temporal_linear_margin_models import \
NonStationaryLocationAndScaleTemporalModel, GumbelTemporalModel, StationaryTemporalModel, \
NonStationaryLocationAndScaleAndShapeTemporalModel
diff --git a/extreme_trend/trend_test_two_parameters/__init__.py b/extreme_trend/trend_test/trend_test_two_parameters/__init__.py
similarity index 100%
rename from extreme_trend/trend_test_two_parameters/__init__.py
rename to extreme_trend/trend_test/trend_test_two_parameters/__init__.py
diff --git a/extreme_trend/trend_test_two_parameters/gev_trend_test_two_parameters.py b/extreme_trend/trend_test/trend_test_two_parameters/gev_trend_test_two_parameters.py
similarity index 97%
rename from extreme_trend/trend_test_two_parameters/gev_trend_test_two_parameters.py
rename to extreme_trend/trend_test/trend_test_two_parameters/gev_trend_test_two_parameters.py
index ee2d0a83a45a915acf4065aaeb58cdc80bbf489a..96d765c1403d8bf04c180dcd2bab7038769289d8 100644
--- a/extreme_trend/trend_test_two_parameters/gev_trend_test_two_parameters.py
+++ b/extreme_trend/trend_test/trend_test_two_parameters/gev_trend_test_two_parameters.py
@@ -1,8 +1,8 @@
from extreme_data.eurocode_data.utils import EUROCODE_QUANTILE
from extreme_fit.model.margin_model.polynomial_margin_model.polynomial_margin_model import NonStationaryQuadraticLocationModel, \
NonStationaryQuadraticScaleModel
-from extreme_trend.abstract_gev_trend_test import AbstractGevTrendTest
-from extreme_trend.trend_test_one_parameter.gev_trend_test_one_parameter import \
+from extreme_trend.trend_test.abstract_gev_trend_test import AbstractGevTrendTest
+from extreme_trend.trend_test.trend_test_one_parameter.gev_trend_test_one_parameter import \
GevLocationTrendTest, GevScaleTrendTest
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
diff --git a/extreme_trend/trend_test_two_parameters/gumbel_test_two_parameters.py b/extreme_trend/trend_test/trend_test_two_parameters/gumbel_test_two_parameters.py
similarity index 96%
rename from extreme_trend/trend_test_two_parameters/gumbel_test_two_parameters.py
rename to extreme_trend/trend_test/trend_test_two_parameters/gumbel_test_two_parameters.py
index e62ccdac75d9f0699cc4d141cb85ada0ffc06f9b..4a78adeb596d984cc726aeec5bf76577a796d462 100644
--- a/extreme_trend/trend_test_two_parameters/gumbel_test_two_parameters.py
+++ b/extreme_trend/trend_test/trend_test_two_parameters/gumbel_test_two_parameters.py
@@ -1,13 +1,12 @@
from extreme_data.eurocode_data.utils import EUROCODE_QUANTILE
from extreme_fit.model.margin_model.polynomial_margin_model.polynomial_margin_model import \
NonStationaryQuadraticLocationGumbelModel, NonStationaryQuadraticScaleGumbelModel
-from extreme_trend.trend_test_two_parameters.gev_trend_test_two_parameters import \
- GevTrendTestTwoParameters
from extreme_fit.distribution.gev.gev_params import GevParams
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
from extreme_fit.model.margin_model.linear_margin_model.temporal_linear_margin_models import \
NonStationaryLocationAndScaleGumbelModel, GumbelTemporalModel
+from extreme_trend.trend_test.trend_test_two_parameters.gev_trend_test_two_parameters import GevTrendTestTwoParameters
from root_utils import classproperty
diff --git a/extreme_trend/visualizers/__init__.py b/extreme_trend/trend_test/visualizers/__init__.py
similarity index 100%
rename from extreme_trend/visualizers/__init__.py
rename to extreme_trend/trend_test/visualizers/__init__.py
diff --git a/extreme_trend/visualizers/study_visualizer_for_non_stationary_trends.py b/extreme_trend/trend_test/visualizers/study_visualizer_for_non_stationary_trends.py
similarity index 98%
rename from extreme_trend/visualizers/study_visualizer_for_non_stationary_trends.py
rename to extreme_trend/trend_test/visualizers/study_visualizer_for_non_stationary_trends.py
index 683a73bdd99eebadff62acd811a3a1157464bef0..0222959bc7c8479628eca29563e38a3a4b206e00 100644
--- a/extreme_trend/visualizers/study_visualizer_for_non_stationary_trends.py
+++ b/extreme_trend/trend_test/visualizers/study_visualizer_for_non_stationary_trends.py
@@ -1,7 +1,7 @@
from collections import OrderedDict, Counter
from enum import Enum
from multiprocessing.pool import Pool
-from typing import Dict, List, Tuple
+from typing import Dict, List
import matplotlib.pyplot as plt
import numpy as np
@@ -18,15 +18,10 @@ from extreme_data.meteo_france_data.scm_models_data.abstract_study import Abstra
from extreme_data.meteo_france_data.scm_models_data.visualization.study_visualizer import \
StudyVisualizer
from projects.exceeding_snow_loads.utils import NON_STATIONARY_TREND_TEST_PAPER_1, ALTITUDE_TO_GREY_MASSIF
-from extreme_trend.abstract_gev_trend_test import AbstractGevTrendTest
-from extreme_trend.trend_test_one_parameter.gumbel_trend_test_one_parameter import \
- GumbelLocationTrendTest, GevStationaryVersusGumbel, GumbelScaleTrendTest, GumbelVersusGumbel
-from extreme_trend.trend_test_two_parameters.gumbel_test_two_parameters import \
- GumbelLocationAndScaleTrendTest
+from extreme_trend.trend_test.abstract_gev_trend_test import AbstractGevTrendTest
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
-from extreme_fit.model.margin_model.linear_margin_model.temporal_linear_margin_models import GumbelTemporalModel, \
- StationaryTemporalModel
+from extreme_fit.model.margin_model.linear_margin_model.temporal_linear_margin_models import GumbelTemporalModel
from extreme_fit.model.result_from_model_fit.result_from_extremes.confidence_interval_method import \
ConfidenceIntervalMethodFromExtremes
from extreme_fit.model.result_from_model_fit.result_from_extremes.eurocode_return_level_uncertainties import \
diff --git a/extreme_trend/visualizers/study_visualizer_for_shape_repartition.py b/extreme_trend/trend_test/visualizers/study_visualizer_for_shape_repartition.py
similarity index 93%
rename from extreme_trend/visualizers/study_visualizer_for_shape_repartition.py
rename to extreme_trend/trend_test/visualizers/study_visualizer_for_shape_repartition.py
index 901754e8e7ec919aec5fec866f9a180db286f832..b4f4113a6a8406be9e9c6c46310d82ed2c1d1f2e 100644
--- a/extreme_trend/visualizers/study_visualizer_for_shape_repartition.py
+++ b/extreme_trend/trend_test/visualizers/study_visualizer_for_shape_repartition.py
@@ -3,7 +3,7 @@ from cached_property import cached_property
from extreme_data.meteo_france_data.scm_models_data.visualization.create_shifted_cmap import get_shifted_map
from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
-from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.trend_test.visualizers import \
StudyVisualizerForNonStationaryTrends
diff --git a/extreme_trend/visualizers/utils.py b/extreme_trend/trend_test/visualizers/utils.py
similarity index 95%
rename from extreme_trend/visualizers/utils.py
rename to extreme_trend/trend_test/visualizers/utils.py
index 01c1b76ba2bb56fc7dc4073a96247ca92b59c9e3..62a4a85f2a5bc46da75d80ca2fdd63214860a36f 100644
--- a/extreme_trend/visualizers/utils.py
+++ b/extreme_trend/trend_test/visualizers/utils.py
@@ -3,7 +3,7 @@ from collections import OrderedDict
from extreme_data.meteo_france_data.scm_models_data.utils import Season, FrenchRegion
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
-from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.trend_test.visualizers import \
StudyVisualizerForNonStationaryTrends
diff --git a/projects/altitude_spatial_model/altitudes_fit/main_altitudes_studies.py b/projects/altitude_spatial_model/altitudes_fit/main_altitudes_studies.py
index 2209091fb44a3788b6057f6ed1d3afbc38ff2a38..accae7e190ac109e2ebb682cffe8200e91b58e56 100644
--- a/projects/altitude_spatial_model/altitudes_fit/main_altitudes_studies.py
+++ b/projects/altitude_spatial_model/altitudes_fit/main_altitudes_studies.py
@@ -10,7 +10,7 @@ mpl.rcParams['text.latex.preamble'] = [r'\usepackage{amsmath}']
import matplotlib
matplotlib.use('Agg')
-from projects.altitude_spatial_model.altitudes_fit.plots.plot_histogram_altitude_studies import \
+from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.plots.plot_histogram_altitude_studies import \
plot_shoe_plot_changes_against_altitude, plot_histogram_all_trends_against_altitudes, \
plot_histogram_all_models_against_altitudes
@@ -20,11 +20,11 @@ from extreme_fit.model.result_from_model_fit.result_from_extremes.abstract_extra
from extreme_fit.model.utils import set_seed_for_test
-from projects.altitude_spatial_model.altitudes_fit.plots.plot_coherence_curves import plot_coherence_curves
+from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.plots.plot_coherence_curves import plot_coherence_curves
-from projects.altitude_spatial_model.altitudes_fit.utils_altitude_studies_visualizer import load_visualizer_list
+from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.utils_altitude_studies_visualizer import load_visualizer_list
from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitude_group import altitudes_for_groups
@@ -85,7 +85,6 @@ def plot_visualizers(massif_names, visualizer_list):
# plot_shoe_plot_ratio_interval_size_against_altitude(massif_names, visualizer_list)
for relative in [True, False]:
plot_shoe_plot_changes_against_altitude(massif_names, visualizer_list, relative=relative)
- # plot_coherence_curves(massif_names, visualizer_list)
plot_coherence_curves(['Vanoise'], visualizer_list)
pass
diff --git a/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitudes_studies_visualizer_for_non_stationary_models.py b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitudes_studies_visualizer_for_non_stationary_models.py
index ffe76956002407e7415809c06e0daa94ad1084a4..9e06b14b5d176a702df3a8967c5338549d37c8c6 100644
--- a/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitudes_studies_visualizer_for_non_stationary_models.py
+++ b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitudes_studies_visualizer_for_non_stationary_models.py
@@ -1,20 +1,16 @@
from collections import Counter
from math import ceil, floor
-from multiprocessing import Pool
from typing import List, Dict
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
-from cached_property import cached_property
-from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
-from extreme_data.meteo_france_data.scm_models_data.visualization.create_shifted_cmap import get_shifted_map, \
- get_colors, ticks_values_and_labels_for_percentages, get_half_colormap, ticks_values_and_labels_for_positive_value, \
- get_inverse_colormap, get_cmap_with_inverted_blue_and_green_channels, remove_the_extreme_colors
+from extreme_data.meteo_france_data.scm_models_data.visualization.create_shifted_cmap import get_inverse_colormap, \
+ remove_the_extreme_colors
from extreme_data.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
- SCM_STUDY_CLASS_TO_ABBREVIATION, ALL_ALTITUDES_WITHOUT_NAN
+ SCM_STUDY_CLASS_TO_ABBREVIATION
from extreme_data.meteo_france_data.scm_models_data.visualization.plot_utils import plot_against_altitude
from extreme_data.meteo_france_data.scm_models_data.visualization.study_visualizer import StudyVisualizer
from extreme_fit.distribution.gev.gev_params import GevParams
@@ -23,16 +19,14 @@ from extreme_fit.function.param_function.linear_coef import LinearCoef
from extreme_fit.model.margin_model.polynomial_margin_model.spatio_temporal_polynomial_model import \
AbstractSpatioTemporalPolynomialModel
from extreme_fit.model.margin_model.utils import MarginFitMethod
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitude_group import \
- get_altitude_group_from_altitudes, HighAltitudeGroup, VeyHighAltitudeGroup, MidAltitudeGroup
+ get_altitude_group_from_altitudes, VeyHighAltitudeGroup, MidAltitudeGroup
from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.one_fold_fit import \
OneFoldFit
-from root_utils import NB_CORES
from spatio_temporal_dataset.coordinates.abstract_coordinates import AbstractCoordinates
from spatio_temporal_dataset.coordinates.temporal_coordinates.abstract_temporal_covariate_for_fit import \
AnomalyTemperatureTemporalCovariate
-from spatio_temporal_dataset.dataset.abstract_dataset import AbstractDataset
class AltitudesStudiesVisualizerForNonStationaryModels(StudyVisualizer):
diff --git a/projects/altitude_spatial_model/altitudes_fit/plots/__init__.py b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/plots/__init__.py
similarity index 100%
rename from projects/altitude_spatial_model/altitudes_fit/plots/__init__.py
rename to projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/plots/__init__.py
diff --git a/projects/altitude_spatial_model/altitudes_fit/plots/compute_histogram_change_in_total_snowfall.py b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/plots/compute_histogram_change_in_total_snowfall.py
similarity index 100%
rename from projects/altitude_spatial_model/altitudes_fit/plots/compute_histogram_change_in_total_snowfall.py
rename to projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/plots/compute_histogram_change_in_total_snowfall.py
diff --git a/projects/altitude_spatial_model/altitudes_fit/plots/plot_coherence_curves.py b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/plots/plot_coherence_curves.py
similarity index 100%
rename from projects/altitude_spatial_model/altitudes_fit/plots/plot_coherence_curves.py
rename to projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/plots/plot_coherence_curves.py
diff --git a/projects/altitude_spatial_model/altitudes_fit/plots/plot_histogram_altitude_studies.py b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/plots/plot_histogram_altitude_studies.py
similarity index 84%
rename from projects/altitude_spatial_model/altitudes_fit/plots/plot_histogram_altitude_studies.py
rename to projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/plots/plot_histogram_altitude_studies.py
index 394d25f75b5190fa378ff9069ac32767c81c58fb..98f4949f7c29330ec3f04a59a5a40ef1fd29c3b6 100644
--- a/projects/altitude_spatial_model/altitudes_fit/plots/plot_histogram_altitude_studies.py
+++ b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/plots/plot_histogram_altitude_studies.py
@@ -1,4 +1,3 @@
-import math
from typing import List
import numpy as np
@@ -17,7 +16,7 @@ from extreme_fit.model.result_from_model_fit.result_from_extremes.abstract_extra
from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitudes_studies_visualizer_for_non_stationary_models import \
AltitudesStudiesVisualizerForNonStationaryModels
from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.one_fold_fit import OneFoldFit
-from projects.altitude_spatial_model.altitudes_fit.plots.compute_histogram_change_in_total_snowfall import \
+from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.plots.compute_histogram_change_in_total_snowfall import \
compute_changes_in_total_snowfall
@@ -43,45 +42,6 @@ def plot_histogram_all_models_against_altitudes(massif_names, visualizer_list: L
print(model_name_to_mean_percentage[model_name], model_name_to_mean_percentage_significant[model_name],
model_name)
- # # Plot part
- # ax = plt.gca()
- # width = 5
- # size = 8
- # legend_fontsize = 10
- # labelsize = 10
- # linewidth = 1
- # tick_list = np.array([((len(visualizer_list) + 2) * i + (1 + len(visualizer_list) / 2)) * width
- # for i in range(len(sorted_model_names))])
- # for tick_middle, model_name in zip(tick_list, sorted_model_names):
- # x_shifted = [tick_middle + width * shift / 2 for shift in range(-3, 5, 2)]
- # percentages = model_name_to_percentages[model_name]
- # percentages_significant = model_name_to_percentages_significant[model_name]
- # colors = ['white', 'yellow', 'orange', 'red']
- # labels = ['{} m - {} m (\% out of {} massifs)'.format(1000 * i, 1000 * (i + 1),
- # len(v.get_valid_names(massif_names))) for i, v in
- # enumerate(visualizer_list)]
- # for x, color, percentage, label, percentage_significant in zip(x_shifted, colors, percentages, labels,
- # percentages_significant):
- # ax.bar([x], [percentage], width=width, label=label,
- # linewidth=2 * linewidth, edgecolor='black', color=color)
- # heights = list(range(0, math.ceil(percentage_significant), 1))[::-1]
- # for height in heights:
- # ax.bar([x], [height], width=width, linewidth=linewidth, edgecolor='black', color=color)
- #
- # handles, labels = ax.get_legend_handles_labels()
- # ax.legend(handles[:len(visualizer_list)], labels[:len(visualizer_list)], prop={'size': size})
- # ax.set_xticklabels(sorted_model_names)
- # ax.set_xticks(tick_list)
- # ax.set_ylabel('Percentage of massifs (\%) ', fontsize=legend_fontsize)
- # ax.set_xlabel('Models', fontsize=legend_fontsize)
- # ax.set_ylim(bottom=0)
- # ax.yaxis.grid()
- # ax.tick_params(axis='both', which='major', labelsize=labelsize)
- #
- # visualizer.plot_name = 'All models'
- # visualizer.show_or_save_to_file(add_classic_title=False, no_title=True)
- # plt.close()
-
def plot_histogram_all_trends_against_altitudes(massif_names, visualizer_list: List[
AltitudesStudiesVisualizerForNonStationaryModels], with_significance=True):
diff --git a/projects/altitude_spatial_model/altitudes_fit/utils_altitude_studies_visualizer.py b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/utils_altitude_studies_visualizer.py
similarity index 96%
rename from projects/altitude_spatial_model/altitudes_fit/utils_altitude_studies_visualizer.py
rename to projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/utils_altitude_studies_visualizer.py
index 484634526ba5032595c4e7a83636ba9c63c5e2bd..526f486bb4555e9d04d79ac48067b24bd9fc0cbd 100644
--- a/projects/altitude_spatial_model/altitudes_fit/utils_altitude_studies_visualizer.py
+++ b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/utils_altitude_studies_visualizer.py
@@ -1,6 +1,6 @@
from extreme_fit.model.margin_model.polynomial_margin_model.utils import \
ALTITUDINAL_GEV_MODELS_BASED_ON_POINTWISE_ANALYSIS
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitudes_studies_visualizer_for_non_stationary_models import \
AltitudesStudiesVisualizerForNonStationaryModels
diff --git a/projects/altitude_spatial_model/altitudes_fit/two_fold_analysis/two_fold_datasets_generator.py b/projects/altitude_spatial_model/altitudes_fit/two_fold_analysis/two_fold_datasets_generator.py
index 024adfce88dae39b63478079bda9e05f977cf251..7864f6f98ea6f7aba725724cee5e2f72583efbed 100644
--- a/projects/altitude_spatial_model/altitudes_fit/two_fold_analysis/two_fold_datasets_generator.py
+++ b/projects/altitude_spatial_model/altitudes_fit/two_fold_analysis/two_fold_datasets_generator.py
@@ -2,7 +2,7 @@ from typing import Tuple, Dict, List
from cached_property import cached_property
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
from spatio_temporal_dataset.dataset.abstract_dataset import AbstractDataset
from spatio_temporal_dataset.slicer.split import invert_s_split
diff --git a/projects/altitude_spatial_model/preliminary_analysis.py b/projects/altitude_spatial_model/preliminary_analysis.py
index 629872911f36548e1486967d9509658fddcca8b7..c0fb5408bbe3e5725f91e002b4a18f9a62ce3ae0 100644
--- a/projects/altitude_spatial_model/preliminary_analysis.py
+++ b/projects/altitude_spatial_model/preliminary_analysis.py
@@ -13,7 +13,7 @@ from extreme_data.meteo_france_data.scm_models_data.visualization.plot_utils imp
from extreme_data.meteo_france_data.scm_models_data.visualization.study_visualizer import StudyVisualizer
from extreme_fit.distribution.gev.gev_params import GevParams
from extreme_fit.utils import fit_linear_regression
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitude_group import altitudes_for_groups
diff --git a/projects/archive/gap_between_my_safran2019_and_safran_2019/main_gap_altitudes_studies.py b/projects/archive/gap_between_my_safran2019_and_safran_2019/main_gap_altitudes_studies.py
index 1341d0ce4836785a72b2cc6ed856f12a5207cff6..add2d229b21e9c0c979deb726a03d74297868390 100644
--- a/projects/archive/gap_between_my_safran2019_and_safran_2019/main_gap_altitudes_studies.py
+++ b/projects/archive/gap_between_my_safran2019_and_safran_2019/main_gap_altitudes_studies.py
@@ -7,7 +7,7 @@ import matplotlib
from extreme_data.meteo_france_data.scm_models_data.safran.gap_between_study import GapBetweenSafranSnowfall2019And2020, \
GapBetweenSafranSnowfall2019AndMySafranSnowfall2019Recentered, \
GapBetweenSafranSnowfall2019AndMySafranSnowfall2019NotRecentered
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
matplotlib.use('Agg')
diff --git a/projects/archive/seasonal_analysis/main_season_repartition_of_maxima.py b/projects/archive/seasonal_analysis/main_season_repartition_of_maxima.py
index c56e7e67a7786fcf7a4c5a7441a3b44cf7e14d63..36521cdcb74dd526dc16a98c0d07f43126b521ae 100644
--- a/projects/archive/seasonal_analysis/main_season_repartition_of_maxima.py
+++ b/projects/archive/seasonal_analysis/main_season_repartition_of_maxima.py
@@ -5,8 +5,7 @@ import calendar
import numpy as np
from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day
-from extreme_data.meteo_france_data.scm_models_data.visualization.study_visualizer import StudyVisualizer
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitude_group import altitudes_for_groups, \
get_altitude_group_from_altitudes
diff --git a/projects/exceeding_snow_loads/checks/mixed_distribution/mixed_distribution_impact.py b/projects/exceeding_snow_loads/checks/mixed_distribution/mixed_distribution_impact.py
index 1eeb3851bc85ab2c8cc06ed6a0af1387e7e6f763..0878ab8bede0be5dff3c19aefac75da9d51524ad 100644
--- a/projects/exceeding_snow_loads/checks/mixed_distribution/mixed_distribution_impact.py
+++ b/projects/exceeding_snow_loads/checks/mixed_distribution/mixed_distribution_impact.py
@@ -1,7 +1,7 @@
import pandas as pd
from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal
-from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import StudyVisualizerForNonStationaryTrends
+from extreme_trend.trend_test.visualizers import StudyVisualizerForNonStationaryTrends
def mix_dsitrbution_impact():
diff --git a/projects/exceeding_snow_loads/checks/qqplot/main_qqplot_for_big_shapes.py b/projects/exceeding_snow_loads/checks/qqplot/main_qqplot_for_big_shapes.py
index 459b93ebc1ed86bba8466188003de0435b694538..72c332a8a22143bf51216628e5514878465ad543 100644
--- a/projects/exceeding_snow_loads/checks/qqplot/main_qqplot_for_big_shapes.py
+++ b/projects/exceeding_snow_loads/checks/qqplot/main_qqplot_for_big_shapes.py
@@ -3,7 +3,7 @@ import matplotlib.pyplot as plt
from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal
from extreme_data.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
ALL_ALTITUDES_WITHOUT_NAN
-from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.trend_test.visualizers import \
StudyVisualizerForNonStationaryTrends
diff --git a/projects/exceeding_snow_loads/checks/qqplot/plot_qqplot.py b/projects/exceeding_snow_loads/checks/qqplot/plot_qqplot.py
index 762f45f53ce0d5e73dd2fd1698666cbbc3a76757..0d5edcd05da022aea233d6de16742c25245056e7 100644
--- a/projects/exceeding_snow_loads/checks/qqplot/plot_qqplot.py
+++ b/projects/exceeding_snow_loads/checks/qqplot/plot_qqplot.py
@@ -11,7 +11,7 @@ from extreme_fit.model.margin_model.utils import \
MarginFitMethod
from extreme_fit.model.result_from_model_fit.result_from_extremes.abstract_extract_eurocode_return_level import \
AbstractExtractEurocodeReturnLevel
-from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.trend_test.visualizers import \
StudyVisualizerForNonStationaryTrends
from extreme_fit.distribution.gev.gev_params import GevParams
from projects.exceeding_snow_loads.section_data.main_example_swe_total_plot import tuples_for_examples_paper1
diff --git a/projects/exceeding_snow_loads/checks/uncertainty_interval_size.py b/projects/exceeding_snow_loads/checks/uncertainty_interval_size.py
index 05cd8c0770b0fd8d252be44b96441a7de09db19d..350a13c6138cb566aae6969a96923d2675ad0256 100644
--- a/projects/exceeding_snow_loads/checks/uncertainty_interval_size.py
+++ b/projects/exceeding_snow_loads/checks/uncertainty_interval_size.py
@@ -3,7 +3,7 @@ from typing import Dict
import pandas as pd
from extreme_data.eurocode_data.utils import EUROCODE_ALTITUDES
-from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.trend_test.visualizers import \
StudyVisualizerForNonStationaryTrends, ModelSubsetForUncertainty
diff --git a/projects/exceeding_snow_loads/checks/without_maximum/study_visualizer_for_fit_witout_maximum.py b/projects/exceeding_snow_loads/checks/without_maximum/study_visualizer_for_fit_witout_maximum.py
index c33fb52e6f5d6f04b621acdb914ba6bdac353b60..ee5dc72390c435f2cb7a6b55a487f11089c4ed58 100644
--- a/projects/exceeding_snow_loads/checks/without_maximum/study_visualizer_for_fit_witout_maximum.py
+++ b/projects/exceeding_snow_loads/checks/without_maximum/study_visualizer_for_fit_witout_maximum.py
@@ -4,7 +4,7 @@ import numpy as np
from cached_property import cached_property
from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
-from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.trend_test.visualizers import \
StudyVisualizerForNonStationaryTrends
diff --git a/projects/exceeding_snow_loads/section_results/main_result_trends_and_return_levels.py b/projects/exceeding_snow_loads/section_results/main_result_trends_and_return_levels.py
index cf18102b3c9227c8ec17040a63b99e6fca1cb2ed..74e3698c9ec865f0912056fb9c841c3e91e5fa32 100644
--- a/projects/exceeding_snow_loads/section_results/main_result_trends_and_return_levels.py
+++ b/projects/exceeding_snow_loads/section_results/main_result_trends_and_return_levels.py
@@ -2,9 +2,6 @@ from multiprocessing.pool import Pool
import matplotlib as mpl
-from projects.exceeding_snow_loads.checks.qqplot.plot_qqplot import \
- plot_intensity_against_gumbel_quantile_for_3_examples, plot_full_diagnostic
-from projects.exceeding_snow_loads.section_results.plot_selection_curves import plot_selection_curves
from projects.exceeding_snow_loads.section_results.plot_trend_curves import plot_trend_map, plot_trend_curves
from projects.exceeding_snow_loads.section_results.plot_uncertainty_histogram import plot_uncertainty_histogram
@@ -14,10 +11,9 @@ mpl.rcParams['text.latex.preamble'] = [r'\usepackage{amsmath}']
from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal, CrocusSnowLoadEurocode
from extreme_fit.model.result_from_model_fit.result_from_extremes.confidence_interval_method import \
ConfidenceIntervalMethodFromExtremes
-from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.trend_test.visualizers import \
StudyVisualizerForNonStationaryTrends, ModelSubsetForUncertainty
-from extreme_trend.visualizers.utils import load_altitude_to_visualizer
-from projects.exceeding_snow_loads.section_results.plot_uncertainty_curves import plot_uncertainty_massifs
+from extreme_trend.trend_test.visualizers import load_altitude_to_visualizer
from projects.exceeding_snow_loads.utils import paper_study_classes, paper_altitudes
from root_utils import NB_CORES
diff --git a/projects/exceeding_snow_loads/section_results/main_shape_repartition.py b/projects/exceeding_snow_loads/section_results/main_shape_repartition.py
index 9416c10c222c8a54088839956082f41f3bfdbf77..4a0592b398b39cdb5a182ac332c662a2b8d7e13e 100644
--- a/projects/exceeding_snow_loads/section_results/main_shape_repartition.py
+++ b/projects/exceeding_snow_loads/section_results/main_shape_repartition.py
@@ -1,7 +1,7 @@
from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal
-from extreme_trend.visualizers.study_visualizer_for_shape_repartition import \
+from extreme_trend.trend_test.visualizers import \
StudyVisualizerForShape
-from extreme_trend.visualizers.utils import load_altitude_to_visualizer
+from extreme_trend.trend_test.visualizers import load_altitude_to_visualizer
def main_shape_repartition(altitudes, massif_names=None,
diff --git a/projects/exceeding_snow_loads/section_results/plot_diagnosis_risk.py b/projects/exceeding_snow_loads/section_results/plot_diagnosis_risk.py
index f15a554d18d3e3673550e8d6f65b90d482fea040..72983ab404219c2b76e2ee41143383df88cfea9c 100644
--- a/projects/exceeding_snow_loads/section_results/plot_diagnosis_risk.py
+++ b/projects/exceeding_snow_loads/section_results/plot_diagnosis_risk.py
@@ -2,7 +2,7 @@ import matplotlib.pyplot as plt
from extreme_fit.model.result_from_model_fit.result_from_extremes.confidence_interval_method import \
ConfidenceIntervalMethodFromExtremes
-from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import ModelSubsetForUncertainty
+from extreme_trend.trend_test.visualizers import ModelSubsetForUncertainty
def plot_diagnosis_risk(altitude_to_visualizer):
diff --git a/projects/exceeding_snow_loads/section_results/plot_selection_curves.py b/projects/exceeding_snow_loads/section_results/plot_selection_curves.py
index b31ed8952779ec957665b13f7c54b8fd1bbb13d4..7800af22222a46d36b45fe64968c0bcec651e69f 100644
--- a/projects/exceeding_snow_loads/section_results/plot_selection_curves.py
+++ b/projects/exceeding_snow_loads/section_results/plot_selection_curves.py
@@ -3,7 +3,7 @@ import matplotlib.pyplot as plt
from extreme_data.meteo_france_data.scm_models_data.visualization.utils import create_adjusted_axes
from projects.exceeding_snow_loads.utils import dpi_paper1_figure, get_trend_test_name
-from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import StudyVisualizerForNonStationaryTrends
+from extreme_trend.trend_test.visualizers import StudyVisualizerForNonStationaryTrends
def permute(l, permutation):
diff --git a/projects/exceeding_snow_loads/section_results/plot_trend_curves.py b/projects/exceeding_snow_loads/section_results/plot_trend_curves.py
index 4ab2b89d7a17f8989dc52d019095ee7e60b2c548..d205aff0fbc3bf9390f3798fb0d9cd5d858948c4 100644
--- a/projects/exceeding_snow_loads/section_results/plot_trend_curves.py
+++ b/projects/exceeding_snow_loads/section_results/plot_trend_curves.py
@@ -4,7 +4,7 @@ import matplotlib.pyplot as plt
from extreme_data.meteo_france_data.scm_models_data.abstract_extended_study import AbstractExtendedStudy
from extreme_data.meteo_france_data.scm_models_data.visualization.utils import create_adjusted_axes
from projects.exceeding_snow_loads.utils import dpi_paper1_figure
-from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.trend_test.visualizers import \
StudyVisualizerForNonStationaryTrends
diff --git a/projects/exceeding_snow_loads/section_results/plot_uncertainty_curves.py b/projects/exceeding_snow_loads/section_results/plot_uncertainty_curves.py
index 74767c3313784fd8e87a00b3b693e897f6fccbca..66677150ed4509f5e5570e97e7cd5882706ac14f 100644
--- a/projects/exceeding_snow_loads/section_results/plot_uncertainty_curves.py
+++ b/projects/exceeding_snow_loads/section_results/plot_uncertainty_curves.py
@@ -10,9 +10,9 @@ import numpy as np
from extreme_data.eurocode_data.utils import EUROCODE_RETURN_LEVEL_STR, EUROCODE_ALTITUDES, \
YEAR_OF_INTEREST_FOR_RETURN_LEVEL
-from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy, filled_marker_legend_list2
+from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
from projects.exceeding_snow_loads.utils import dpi_paper1_figure
-from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.trend_test.visualizers import \
StudyVisualizerForNonStationaryTrends, ModelSubsetForUncertainty
from extreme_fit.model.result_from_model_fit.result_from_extremes.abstract_extract_eurocode_return_level import \
AbstractExtractEurocodeReturnLevel
diff --git a/projects/exceeding_snow_loads/section_results/plot_uncertainty_histogram.py b/projects/exceeding_snow_loads/section_results/plot_uncertainty_histogram.py
index b5772fa1b99ebe43fb7d44765dceae9dbe960337..4dd896b3ca83cb9410d0201698ac06bfbf6fb784 100644
--- a/projects/exceeding_snow_loads/section_results/plot_uncertainty_histogram.py
+++ b/projects/exceeding_snow_loads/section_results/plot_uncertainty_histogram.py
@@ -6,7 +6,7 @@ from extreme_data.eurocode_data.utils import EUROCODE_ALTITUDES
from extreme_fit.model.result_from_model_fit.result_from_extremes.abstract_extract_eurocode_return_level import \
AbstractExtractEurocodeReturnLevel
from projects.exceeding_snow_loads.utils import dpi_paper1_figure
-from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.trend_test.visualizers import \
StudyVisualizerForNonStationaryTrends
from extreme_fit.model.result_from_model_fit.result_from_extremes.confidence_interval_method import ci_method_to_color, \
ci_method_to_label, ConfidenceIntervalMethodFromExtremes
diff --git a/projects/exceeding_snow_loads/utils.py b/projects/exceeding_snow_loads/utils.py
index e63910e0a070275fff78aeeba533c7591990f7ff..c016a7ae798fee1793c841b35c67d8f276dcfba8 100644
--- a/projects/exceeding_snow_loads/utils.py
+++ b/projects/exceeding_snow_loads/utils.py
@@ -1,21 +1,15 @@
-from enum import Enum
-
-from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal, CrocusSnowLoadEurocode, \
- CrocusSnowLoad3Days
+from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal, CrocusSnowLoadEurocode
from extreme_data.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
ALL_ALTITUDES_WITHOUT_NAN
-from extreme_trend.trend_test_one_parameter.gev_trend_test_one_parameter import GevVersusGev, GevScaleTrendTest, \
- GevLocationTrendTest, GevShapeTrendTest
-from extreme_trend.trend_test_one_parameter.gumbel_trend_test_one_parameter import \
- GumbelVersusGumbel, GumbelLocationTrendTest, GumbelScaleTrendTest, GevStationaryVersusGumbel
-from extreme_trend.trend_test_three_parameters.gev_trend_test_three_parameters import \
- GevLocationAndScaleTrendTestAgainstGumbel, GevLocationAndScaleAndShapeTrendTest, \
- GevLocationQuadraticTrendTestAgainstGumbel, \
- GevScaleQuadraticTrendTestAgainstGumbel
-from extreme_trend.trend_test_two_parameters.gev_trend_test_two_parameters import \
- GevLocationAgainstGumbel, GevScaleAgainstGumbel, GevLocationAndScaleTrendTest, GevScaleAndShapeTrendTest, \
- GevLocationAndShapeTrendTest, GevQuadraticLocationTrendTest, GevQuadraticScaleTrendTest
-from extreme_trend.trend_test_two_parameters.gumbel_test_two_parameters import \
+from extreme_trend.trend_test.trend_test_one_parameter.gev_trend_test_one_parameter import GevVersusGev, GevScaleTrendTest, \
+ GevLocationTrendTest
+from extreme_trend.trend_test.trend_test_one_parameter.gumbel_trend_test_one_parameter import GumbelVersusGumbel, \
+ GevStationaryVersusGumbel, GumbelLocationTrendTest, GumbelScaleTrendTest
+from extreme_trend.trend_test.trend_test_three_parameters.gev_trend_test_three_parameters import \
+ GevLocationAndScaleTrendTestAgainstGumbel
+from extreme_trend.trend_test.trend_test_two_parameters.gev_trend_test_two_parameters import GevLocationAgainstGumbel, \
+ GevScaleAgainstGumbel, GevLocationAndScaleTrendTest, GevQuadraticLocationTrendTest, GevQuadraticScaleTrendTest
+from extreme_trend.trend_test.trend_test_two_parameters.gumbel_test_two_parameters import \
GumbelLocationAndScaleTrendTest, GumbelLocationQuadraticTrendTest, GumbelScaleQuadraticTrendTest
paper_altitudes = ALL_ALTITUDES_WITHOUT_NAN
@@ -45,31 +39,8 @@ ALTITUDE_TO_GREY_MASSIF = {
1800: [],
}
-NON_STATIONARY_TREND_TEST_PAPER_2 = [
- # Gumbel models
- GumbelVersusGumbel,
- GumbelLocationTrendTest,
- GumbelScaleTrendTest,
- GumbelLocationAndScaleTrendTest,
- # GEV models with constant shape
- GevVersusGev,
- GevLocationTrendTest,
- GevScaleTrendTest,
- GevLocationAndScaleTrendTest,
- # GEV models with linear shape
- #GevShapeTrendTest,
- #GevLocationAndShapeTrendTest, GevScaleAndShapeTrendTest, GevLocationAndScaleAndShapeTrendTest,
- # Quadratic model for the Gev/Gumbel and for the location/scale
- GevQuadraticLocationTrendTest, GevQuadraticScaleTrendTest, GumbelLocationQuadraticTrendTest, GumbelScaleQuadraticTrendTest,
-]
-
def get_trend_test_name(trend_test_class):
years = list(range(10))
trend_test = trend_test_class(years, years, None)
return trend_test.name
-
-
-if __name__ == '__main__':
- for trend_test_class in NON_STATIONARY_TREND_TEST_PAPER_2:
- print(get_trend_test_name(trend_test_class))
diff --git a/projects/projected_snowfall/elevation_temporal_model_for_projections/abstract_ensemble_fit.py b/projects/projected_snowfall/elevation_temporal_model_for_projections/abstract_ensemble_fit.py
index ad85be1012c60303f19ea4f6cd2b5a90b3913197..6e5d9e035dadef3707fd6db4306933d69697aafd 100644
--- a/projects/projected_snowfall/elevation_temporal_model_for_projections/abstract_ensemble_fit.py
+++ b/projects/projected_snowfall/elevation_temporal_model_for_projections/abstract_ensemble_fit.py
@@ -1,8 +1,7 @@
-from typing import Dict, Tuple, List
+from typing import Dict, Tuple
from extreme_fit.model.margin_model.utils import MarginFitMethod
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
-from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitude_group import DefaultAltitudeGroup
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
class AbstractEnsembleFit(object):
diff --git a/projects/projected_snowfall/elevation_temporal_model_for_projections/visualizer_for_projection_ensemble.py b/projects/projected_snowfall/elevation_temporal_model_for_projections/visualizer_for_projection_ensemble.py
index e7d9e38ef1aa0b93d6e85395fa257be7123d788a..06f27adad6b3262e99c0ae6636c355be23395795 100644
--- a/projects/projected_snowfall/elevation_temporal_model_for_projections/visualizer_for_projection_ensemble.py
+++ b/projects/projected_snowfall/elevation_temporal_model_for_projections/visualizer_for_projection_ensemble.py
@@ -3,12 +3,12 @@ from typing import List
from extreme_fit.model.margin_model.polynomial_margin_model.spatio_temporal_polynomial_model import \
AbstractSpatioTemporalPolynomialModel
from extreme_fit.model.margin_model.utils import MarginFitMethod
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitude_group import \
- get_altitude_group_from_altitudes, get_altitude_class_from_altitudes
-from projects.altitude_spatial_model.altitudes_fit.plots.plot_histogram_altitude_studies import \
+ get_altitude_class_from_altitudes
+from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.plots.plot_histogram_altitude_studies import \
plot_histogram_all_trends_against_altitudes, plot_shoe_plot_changes_against_altitude
-from projects.altitude_spatial_model.altitudes_fit.utils_altitude_studies_visualizer import compute_and_assign_max_abs
+from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.utils_altitude_studies_visualizer import compute_and_assign_max_abs
from projects.projected_snowfall.elevation_temporal_model_for_projections.independent_ensemble_fit.independent_ensemble_fit import \
IndependentEnsembleFit
diff --git a/projects/projected_snowfall/elevation_temporal_model_for_projections/visualizer_for_sensitivity.py b/projects/projected_snowfall/elevation_temporal_model_for_projections/visualizer_for_sensitivity.py
index 72392ee58da96f7ac8ceb212efb7f72776a799d4..53058fcaf8115a8a4b742b688ee547d16636bc65 100644
--- a/projects/projected_snowfall/elevation_temporal_model_for_projections/visualizer_for_sensitivity.py
+++ b/projects/projected_snowfall/elevation_temporal_model_for_projections/visualizer_for_sensitivity.py
@@ -8,12 +8,8 @@ from extreme_data.meteo_france_data.scm_models_data.utils import Season
from extreme_fit.model.margin_model.polynomial_margin_model.spatio_temporal_polynomial_model import \
AbstractSpatioTemporalPolynomialModel
from extreme_fit.model.margin_model.utils import MarginFitMethod
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitude_group import \
- get_altitude_group_from_altitudes, get_altitude_class_from_altitudes, get_linestyle_for_altitude_class
-from projects.altitude_spatial_model.altitudes_fit.plots.plot_histogram_altitude_studies import \
- plot_histogram_all_trends_against_altitudes, plot_shoe_plot_changes_against_altitude
-from projects.altitude_spatial_model.altitudes_fit.utils_altitude_studies_visualizer import compute_and_assign_max_abs
+ get_altitude_class_from_altitudes, get_linestyle_for_altitude_class
from projects.projected_snowfall.elevation_temporal_model_for_projections.independent_ensemble_fit.independent_ensemble_fit import \
IndependentEnsembleFit
from projects.projected_snowfall.elevation_temporal_model_for_projections.visualizer_for_projection_ensemble import \
diff --git a/projects/projected_snowfall/evaluation/comparison_historical_visualizer.py b/projects/projected_snowfall/evaluation/comparison_historical_visualizer.py
index e2c26b2e217d9652a824d130256714247d4a8905..098b5d5e18f111899c7c251f0e892695fef8613a 100644
--- a/projects/projected_snowfall/evaluation/comparison_historical_visualizer.py
+++ b/projects/projected_snowfall/evaluation/comparison_historical_visualizer.py
@@ -10,9 +10,8 @@ from extreme_data.meteo_france_data.adamont_data.adamont_scenario import gcm_rcm
from extreme_data.meteo_france_data.adamont_data.adamont_studies import AdamontStudies
from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
from extreme_data.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
- SCM_STUDY_CLASS_TO_ABBREVIATION, ADAMONT_STUDY_CLASS_TO_ABBREVIATION
+ ADAMONT_STUDY_CLASS_TO_ABBREVIATION
from extreme_data.meteo_france_data.scm_models_data.visualization.study_visualizer import StudyVisualizer
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
class ComparisonHistoricalVisualizer(StudyVisualizer):
diff --git a/projects/projected_snowfall/evaluation/main_comparison_on_quantile_period.py b/projects/projected_snowfall/evaluation/main_comparison_on_quantile_period.py
index 5eb9eb38a5cf1546158ff091b810e0202e7d5978..042cc1dffd2e62d4d573d8583993936a9e153eb1 100644
--- a/projects/projected_snowfall/evaluation/main_comparison_on_quantile_period.py
+++ b/projects/projected_snowfall/evaluation/main_comparison_on_quantile_period.py
@@ -7,18 +7,15 @@ from extreme_data.meteo_france_data.adamont_data.adamont_gcm_rcm_couples import
get_year_min_and_year_max_used_to_compute_quantile, gcm_rcm_couple_to_color
from extreme_data.meteo_france_data.adamont_data.adamont_scenario import AdamontScenario, \
gcm_rcm_couple_to_str, get_gcm_rcm_couples
-from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day, \
- SafranSnowfallCenterOnDay1dayMeanRate, SafranSnowfallCenterOnDay1day
-from extreme_data.meteo_france_data.scm_models_data.safran.safran_max_snowf import SafranSnowfall2020, \
- SafranSnowfall2019
-from extreme_data.meteo_france_data.scm_models_data.safran.safran_variable import SafranSnowfallVariableCenterOnDay
+from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day
+from extreme_data.meteo_france_data.scm_models_data.safran.safran_max_snowf import SafranSnowfall2020
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from extreme_data.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
STUDY_CLASS_TO_ABBREVIATION
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
def compute_bias_and_display_it(ax,
diff --git a/projects/projected_snowfall/evaluation/main_comparison_reanalysis.py b/projects/projected_snowfall/evaluation/main_comparison_reanalysis.py
index 4237d79c80b3987e0f3cae2a468132e79f80a770..dc0ab6ea5460c6866504d434aec09a96dd2bb1f5 100644
--- a/projects/projected_snowfall/evaluation/main_comparison_reanalysis.py
+++ b/projects/projected_snowfall/evaluation/main_comparison_reanalysis.py
@@ -10,7 +10,7 @@ from extreme_data.meteo_france_data.scm_models_data.safran.gap_between_study imp
GapBetweenSafranSnowfall2019AndMySafranSnowfall2019RecenteredMeanRate
from extreme_data.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
STUDY_CLASS_TO_ABBREVIATION
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
def comparison_plot(altitude_studies: AltitudesStudies, massif_name):
diff --git a/projects/projected_snowfall/main_inquiry_weird_pattern.py b/projects/projected_snowfall/main_inquiry_weird_pattern.py
index 718ba847cc3b40034246c010621d2c47723a91c1..4cc564ef46c3ca82ba775887b7d046f383ecd4b1 100644
--- a/projects/projected_snowfall/main_inquiry_weird_pattern.py
+++ b/projects/projected_snowfall/main_inquiry_weird_pattern.py
@@ -1,6 +1,6 @@
from extreme_data.meteo_france_data.adamont_data.adamont.adamont_snowfall import AdamontSnowfall
from extreme_data.meteo_france_data.adamont_data.adamont_scenario import AdamontScenario
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
def main_rcm():
for rcm in ['CCLM4-8-17', 'RACMO22E', 'RCA4', 'ALADIN63', 'ALADIN53']:
diff --git a/test/test_extreme_fit/test_estimator/test_gev_spatio_temporal_extremes_mle.py b/test/test_extreme_fit/test_estimator/test_gev_spatio_temporal_extremes_mle.py
index 2ab682cca3cd1ae8ac8ac35328c0570585fa3edb..f40099cb4227b4e05facf8f76a702b3b6e3e5b28 100644
--- a/test/test_extreme_fit/test_estimator/test_gev_spatio_temporal_extremes_mle.py
+++ b/test/test_extreme_fit/test_estimator/test_gev_spatio_temporal_extremes_mle.py
@@ -1,16 +1,9 @@
import unittest
-from random import sample
-from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day, SafranPrecipitation1Day
-from extreme_fit.model.margin_model.polynomial_margin_model.gev_altitudinal_models import \
- NonStationaryAltitudinalLocationQuadraticScaleLinearCrossTermForLocation, \
- NonStationaryAltitudinalLocationQuadraticCrossTermForLocation, NonStationaryAltitudinalLocationLinear, \
- NonStationaryAltitudinalLocationLinearCrossTermForLocation
-from extreme_fit.model.margin_model.polynomial_margin_model.utils import ALTITUDINAL_GEV_MODELS, \
- MODELS_THAT_SHOULD_RAISE_AN_ASSERTION_ERROR, VARIOUS_SPATIO_TEMPORAL_MODELS, ALTITUDINAL_GUMBEL_MODELS
+from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
from projects.altitude_spatial_model.altitudes_fit.two_fold_analysis.two_fold_datasets_generator import \
TwoFoldDatasetsGenerator
from projects.altitude_spatial_model.altitudes_fit.two_fold_analysis.two_fold_fit import TwoFoldFit
diff --git a/test/test_extreme_fit/test_estimator/test_spatio_temporal_estimator/test_gev_spatio_temporal_polynomial_extremes_mle.py b/test/test_extreme_fit/test_estimator/test_spatio_temporal_estimator/test_gev_spatio_temporal_polynomial_extremes_mle.py
index 7959897dfa44377665f3bd91723a81e93c4b8cee..e0ba51f12a64e7ad19348c2dddc07ac80df9b5bb 100644
--- a/test/test_extreme_fit/test_estimator/test_spatio_temporal_estimator/test_gev_spatio_temporal_polynomial_extremes_mle.py
+++ b/test/test_extreme_fit/test_estimator/test_spatio_temporal_estimator/test_gev_spatio_temporal_polynomial_extremes_mle.py
@@ -3,34 +3,20 @@ import unittest
import numpy as np
import pandas as pd
-from extreme_fit.distribution.gev.gev_params import GevParams
from extreme_fit.estimator.margin_estimator.utils import fitted_linear_margin_estimator_short
-from extreme_fit.model.margin_model.polynomial_margin_model.gev_altitudinal_models import StationaryAltitudinal
-from extreme_fit.model.margin_model.polynomial_margin_model.models_based_on_pariwise_analysis.gev_with_constant_shape_wrt_altitude import \
- AltitudinalShapeConstantTimeLocationLinear
-from extreme_fit.model.margin_model.polynomial_margin_model.models_based_on_pariwise_analysis.gev_with_linear_shape_wrt_altitude import \
- AltitudinalShapeLinearTimeLocationLinear, AltitudinalShapeLinearTimeLocScaleLinear, \
- AltitudinalShapeLinearTimeStationary
-from extreme_fit.model.margin_model.polynomial_margin_model.polynomial_margin_model import \
- NonStationaryQuadraticLocationModel, \
- NonStationaryQuadraticScaleModel, NonStationaryQuadraticLocationGumbelModel, NonStationaryQuadraticScaleGumbelModel
from extreme_fit.model.margin_model.polynomial_margin_model.utils import \
ALTITUDINAL_GEV_MODELS_BASED_ON_POINTWISE_ANALYSIS
from extreme_fit.model.result_from_model_fit.result_from_extremes.confidence_interval_method import \
ConfidenceIntervalMethodFromExtremes
from extreme_fit.model.result_from_model_fit.result_from_extremes.eurocode_return_level_uncertainties import \
EurocodeConfidenceIntervalFromExtremes
-from extreme_trend.abstract_gev_trend_test import fitted_linear_margin_estimator
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
from extreme_fit.model.utils import r, set_seed_r
-from spatio_temporal_dataset.coordinates.abstract_coordinates import AbstractCoordinates
from spatio_temporal_dataset.coordinates.spatial_coordinates.abstract_spatial_coordinates import \
AbstractSpatialCoordinates
from spatio_temporal_dataset.coordinates.spatio_temporal_coordinates.abstract_spatio_temporal_coordinates import \
AbstractSpatioTemporalCoordinates
-from spatio_temporal_dataset.coordinates.temporal_coordinates.abstract_temporal_coordinates import \
- AbstractTemporalCoordinates
from spatio_temporal_dataset.coordinates.temporal_coordinates.generated_temporal_coordinates import \
ConsecutiveTemporalCoordinates
from spatio_temporal_dataset.dataset.abstract_dataset import AbstractDataset
diff --git a/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_bayesian.py b/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_bayesian.py
index 53bac7a22e8b3a1e16515d3f63b33980243f9df8..a5c045e97fda0be0dadb6707185d73294e15c40f 100644
--- a/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_bayesian.py
+++ b/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_bayesian.py
@@ -3,7 +3,7 @@ import unittest
import numpy as np
import pandas as pd
-from extreme_trend.abstract_gev_trend_test import fitted_linear_margin_estimator
+from extreme_trend.trend_test.abstract_gev_trend_test import fitted_linear_margin_estimator
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
from extreme_fit.model.margin_model.linear_margin_model.temporal_linear_margin_models import StationaryTemporalModel, \
diff --git a/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_gumbel.py b/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_gumbel.py
index b790d0ab55249b6eebc9185faf56eb6a679c0a7e..7a2863f31ec06b0f897afb5f3a8d70df6b2f7136 100644
--- a/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_gumbel.py
+++ b/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_gumbel.py
@@ -3,7 +3,7 @@ import unittest
import numpy as np
import pandas as pd
-from extreme_trend.abstract_gev_trend_test import fitted_linear_margin_estimator
+from extreme_trend.trend_test.abstract_gev_trend_test import fitted_linear_margin_estimator
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
from extreme_fit.model.margin_model.linear_margin_model.temporal_linear_margin_models import GumbelTemporalModel
diff --git a/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_l_moments.py b/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_l_moments.py
index 78a933aff01a5f2e3596e21659093f8c25331500..153043706530dbe6d5f6982c0c3ff55574576340 100644
--- a/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_l_moments.py
+++ b/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_l_moments.py
@@ -3,11 +3,11 @@ import unittest
import numpy as np
import pandas as pd
-from extreme_trend.abstract_gev_trend_test import fitted_linear_margin_estimator
+from extreme_trend.trend_test.abstract_gev_trend_test import fitted_linear_margin_estimator
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
from extreme_fit.model.margin_model.linear_margin_model.temporal_linear_margin_models import StationaryTemporalModel, \
- NonStationaryLocationTemporalModel, NonStationaryLocationAndScaleTemporalModel
+ NonStationaryLocationTemporalModel
from extreme_fit.model.utils import r, set_seed_r
from spatio_temporal_dataset.coordinates.abstract_coordinates import AbstractCoordinates
from spatio_temporal_dataset.coordinates.temporal_coordinates.abstract_temporal_coordinates import \
diff --git a/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_mle.py b/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_mle.py
index 0a2796f044b950e96d9d5e3cd3f9a1f56f3aec6d..d0682e18821c8ffbc0a7b962c6b11c0bd519d014 100644
--- a/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_mle.py
+++ b/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_extremes_mle.py
@@ -3,7 +3,7 @@ import unittest
import numpy as np
import pandas as pd
-from extreme_trend.abstract_gev_trend_test import fitted_linear_margin_estimator
+from extreme_trend.trend_test.abstract_gev_trend_test import fitted_linear_margin_estimator
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
from extreme_fit.model.margin_model.linear_margin_model.temporal_linear_margin_models import StationaryTemporalModel, \
diff --git a/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_polynomial_extremes_mle.py b/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_polynomial_extremes_mle.py
index 1f8a50ed5df4fa9011765160647723b83516fedc..95add8ef2e62f69e0c9b8d4f321a4e5f86c9f37a 100644
--- a/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_polynomial_extremes_mle.py
+++ b/test/test_extreme_fit/test_estimator/test_temporal_estimator/test_gev_temporal_polynomial_extremes_mle.py
@@ -6,7 +6,7 @@ import pandas as pd
from extreme_fit.distribution.gev.gev_params import GevParams
from extreme_fit.model.margin_model.polynomial_margin_model.polynomial_margin_model import NonStationaryQuadraticLocationModel, \
NonStationaryQuadraticScaleModel, NonStationaryQuadraticLocationGumbelModel, NonStationaryQuadraticScaleGumbelModel
-from extreme_trend.abstract_gev_trend_test import fitted_linear_margin_estimator
+from extreme_trend.trend_test.abstract_gev_trend_test import fitted_linear_margin_estimator
from extreme_fit.model.margin_model.utils import \
MarginFitMethod
from extreme_fit.model.utils import r, set_seed_r
diff --git a/test/test_extreme_trend/test_extreme_trend.py b/test/test_extreme_trend/test_trend_test.py
similarity index 60%
rename from test/test_extreme_trend/test_extreme_trend.py
rename to test/test_extreme_trend/test_trend_test.py
index 9f1dec8e87b4b119f6b4c57ef6b5bd34e3d80943..adcd8ca9f9ecc7fa11a4db95bf357a00363ef963 100644
--- a/test/test_extreme_trend/test_extreme_trend.py
+++ b/test/test_extreme_trend/test_trend_test.py
@@ -1,8 +1,8 @@
import unittest
from extreme_fit.distribution.gev.gev_params import GevParams
-from extreme_trend.trend_test_one_parameter.gumbel_trend_test_one_parameter import GumbelVersusGumbel
-from projects.exceeding_snow_loads.utils import NON_STATIONARY_TREND_TEST_PAPER_1, NON_STATIONARY_TREND_TEST_PAPER_2
+from extreme_trend.trend_test.trend_test_one_parameter.gumbel_trend_test_one_parameter import GumbelVersusGumbel
+from projects.exceeding_snow_loads.utils import NON_STATIONARY_TREND_TEST_PAPER_1
class TestTrendAnalysis(unittest.TestCase):
@@ -13,14 +13,6 @@ class TestTrendAnalysis(unittest.TestCase):
for trend_test_class, nb in zip(trend_test_classes, nb_expected):
self.assertEqual(trend_test_class.total_number_of_parameters_for_unconstrained_model, nb)
- # def test_nb_parameters_paper2(self):
- # trend_test_classes = NON_STATIONARY_TREND_TEST_PAPER_2
- # nb_expected = [2, 3, 3, 4,
- # 3, 4, 4, 5,
- # 4, 5, 5, 6]
- # for trend_test_class, nb in zip(trend_test_classes, nb_expected):
- # self.assertEqual(trend_test_class.total_number_of_parameters_for_unconstrained_model, nb)
-
def test_anderson_goodness_of_fit(self):
nb_data = 50
years = list(range(nb_data))
diff --git a/test/test_projects/test_altitude_spatial/test_one_fold_fit.py b/test/test_projects/test_altitude_spatial/test_one_fold_fit.py
index f939768679cbbabbcd27a4173ea1fb0f6662ac93..e7fa22d4c6b10557aca3e3924711bbd98811fb79 100644
--- a/test/test_projects/test_altitude_spatial/test_one_fold_fit.py
+++ b/test/test_projects/test_altitude_spatial/test_one_fold_fit.py
@@ -4,14 +4,13 @@ from extreme_data.meteo_france_data.adamont_data.adamont.adamont_snowfall import
from extreme_data.meteo_france_data.adamont_data.adamont_scenario import AdamontScenario
from extreme_data.meteo_france_data.adamont_data.cmip5.temperature_to_year import temperature_minmax_to_year_minmax
from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day
-from extreme_fit.model.margin_model.linear_margin_model.temporal_linear_margin_models import StationaryTemporalModel
from extreme_fit.model.margin_model.polynomial_margin_model.gev_altitudinal_models import StationaryAltitudinal
from extreme_fit.model.margin_model.polynomial_margin_model.models_based_on_pariwise_analysis.gev_with_constant_shape_wrt_altitude import \
AltitudinalShapeConstantTimeLocationLinear, AltitudinalShapeConstantTimeScaleLinear, \
AltitudinalShapeConstantTimeLocScaleLinear
from extreme_fit.model.margin_model.polynomial_margin_model.utils import \
ALTITUDINAL_GEV_MODELS_BASED_ON_POINTWISE_ANALYSIS
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitude_group import VeyHighAltitudeGroup
from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.one_fold_fit import OneFoldFit
from spatio_temporal_dataset.coordinates.temporal_coordinates.abstract_temporal_covariate_for_fit import \
diff --git a/test/test_projects/test_contrasting/test_altitudes_studies.py b/test/test_projects/test_contrasting/test_altitudes_studies.py
index 6ef79a4fce08c0cb2f46114b6f086828d1c05704..c1525de2d1dcf7e8d0ab2d2fd06f2dce6d1ae177 100644
--- a/test/test_projects/test_contrasting/test_altitudes_studies.py
+++ b/test/test_projects/test_contrasting/test_altitudes_studies.py
@@ -3,7 +3,7 @@ import unittest
from extreme_data.meteo_france_data.adamont_data.adamont.adamont_snowfall import AdamontSnowfall
from extreme_data.meteo_france_data.adamont_data.adamont_scenario import AdamontScenario
from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
from spatio_temporal_dataset.slicer.split import Split
diff --git a/test/test_projects/test_contrasting/test_two_fold_datasets_generator.py b/test/test_projects/test_contrasting/test_two_fold_datasets_generator.py
index 9cbf5a1601e4bdc7d32ff47106d2f446b9b893fd..2a1e6e7c5464a0c24c249ef53c47ae35e981ba2b 100644
--- a/test/test_projects/test_contrasting/test_two_fold_datasets_generator.py
+++ b/test/test_projects/test_contrasting/test_two_fold_datasets_generator.py
@@ -2,7 +2,7 @@ import unittest
import numpy as np
from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
from projects.altitude_spatial_model.altitudes_fit.two_fold_analysis.two_fold_datasets_generator import TwoFoldDatasetsGenerator
from spatio_temporal_dataset.slicer.split import Split
diff --git a/test/test_projects/test_contrasting/test_two_fold_fit.py b/test/test_projects/test_contrasting/test_two_fold_fit.py
index eb89f82d5c0fc8d879001f371cbb31057ff8c529..f34e8c2856b61610041b3a6b5633f047b875f97e 100644
--- a/test/test_projects/test_contrasting/test_two_fold_fit.py
+++ b/test/test_projects/test_contrasting/test_two_fold_fit.py
@@ -6,7 +6,7 @@ from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranS
from extreme_fit.model.margin_model.linear_margin_model.linear_margin_model import ConstantMarginModel
from extreme_fit.model.margin_model.utils import MarginFitMethod
from extreme_fit.model.utils import set_seed_for_test
-from projects.altitude_spatial_model.altitudes_fit.altitudes_studies import AltitudesStudies
+from extreme_data.meteo_france_data.scm_models_data.altitudes_studies import AltitudesStudies
from projects.altitude_spatial_model.altitudes_fit.two_fold_analysis.two_fold_datasets_generator import TwoFoldDatasetsGenerator
from projects.altitude_spatial_model.altitudes_fit.two_fold_analysis.two_fold_detail_fit import TwoFoldModelFit
from projects.altitude_spatial_model.altitudes_fit.two_fold_analysis.two_fold_fit import TwoFoldFit
diff --git a/test/test_projects/test_exceeding_snow_loads/test_results.py b/test/test_projects/test_exceeding_snow_loads/test_results.py
index 79fca2dfeb36e2e4cc2c52bbb77120baded1f929..1b3c79ef44369acd641657b686f3da3ad3a4b288 100644
--- a/test/test_projects/test_exceeding_snow_loads/test_results.py
+++ b/test/test_projects/test_exceeding_snow_loads/test_results.py
@@ -1,14 +1,5 @@
import unittest
-from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal
-from extreme_fit.model.result_from_model_fit.result_from_extremes.confidence_interval_method import \
- ConfidenceIntervalMethodFromExtremes
-from extreme_trend.visualizers.utils import load_altitude_to_visualizer
-from projects.exceeding_snow_loads.section_results.plot_selection_curves import plot_selection_curves
-from projects.exceeding_snow_loads.section_results.plot_trend_curves import plot_trend_curves, plot_trend_map
-from projects.exceeding_snow_loads.section_results.plot_uncertainty_curves import plot_uncertainty_massifs
-from projects.exceeding_snow_loads.section_results.plot_uncertainty_histogram import plot_uncertainty_histogram
-import matplotlib.pyplot as plt
class TestResults(unittest.TestCase):
pass