[refactor] create folder extreme_data

extreme_trend_test/trend_test_one_parameter/gumbel_trend_test_one_parameter.py → extreme_trend/trend_test_one_parameter/gumbel_trend_test_one_parameter.py

 # Comparison with the Gumbel model
-from experiment.eurocode_data.utils import EUROCODE_QUANTILE
-from extreme_trend_test.trend_test_one_parameter.gev_trend_test_one_parameter import \
+from extreme_data.eurocode_data.utils import EUROCODE_QUANTILE
+from extreme_trend.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.linear_margin_model.abstract_temporal_linear_margin_model import \

extreme_trend_test/trend_test_three_parameters/gev_trend_test_three_parameters.py → extreme_trend/trend_test_three_parameters/gev_trend_test_three_parameters.py

 from extreme_fit.model.margin_model.linear_margin_model.abstract_temporal_linear_margin_model import \
     TemporalMarginFitMethod
-from experiment.eurocode_data.utils import EUROCODE_QUANTILE
-from extreme_trend_test.abstract_gev_trend_test import AbstractGevTrendTest
+from extreme_data.eurocode_data.utils import EUROCODE_QUANTILE
+from extreme_trend.abstract_gev_trend_test import AbstractGevTrendTest
 from extreme_fit.model.margin_model.linear_margin_model.temporal_linear_margin_models import \
     NonStationaryLocationAndScaleTemporalModel, GumbelTemporalModel
 from extreme_fit.distribution.gev.gev_params import GevParams

extreme_trend_test/trend_test_two_parameters/gev_trend_test_two_parameters.py → extreme_trend/trend_test_two_parameters/gev_trend_test_two_parameters.py

-from experiment.eurocode_data.utils import EUROCODE_QUANTILE
-from extreme_trend_test.abstract_gev_trend_test import AbstractGevTrendTest
-from extreme_trend_test.trend_test_one_parameter.gev_trend_test_one_parameter import \
+from extreme_data.eurocode_data.utils import EUROCODE_QUANTILE
+from extreme_trend.abstract_gev_trend_test import AbstractGevTrendTest
+from extreme_trend.trend_test_one_parameter.gev_trend_test_one_parameter import \
     GevLocationTrendTest, GevScaleTrendTest
 from extreme_fit.model.margin_model.linear_margin_model.abstract_temporal_linear_margin_model import \
     TemporalMarginFitMethod

extreme_trend_test/trend_test_two_parameters/gumbel_test_two_parameters.py → extreme_trend/trend_test_two_parameters/gumbel_test_two_parameters.py

-from experiment.eurocode_data.utils import EUROCODE_QUANTILE
-from extreme_trend_test.trend_test_two_parameters.gev_trend_test_two_parameters import \
+from extreme_data.eurocode_data.utils import EUROCODE_QUANTILE
+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.linear_margin_model.abstract_temporal_linear_margin_model import \

extreme_trend_test/visualizers/study_visualizer_for_non_stationary_trends.py → extreme_trend/visualizers/study_visualizer_for_non_stationary_trends.py

@@ -7,20 +7,20 @@ import matplotlib.pyplot as plt
 import numpy as np
 from cached_property import cached_property
 
-from experiment.eurocode_data.eurocode_region import C2, C1, E
-from experiment.eurocode_data.massif_name_to_departement import massif_name_to_eurocode_region
-from experiment.eurocode_data.utils import EUROCODE_QUANTILE, EUROCODE_RETURN_LEVEL_STR, \
+from extreme_data.eurocode_data.eurocode_region import C2, C1, E
+from extreme_data.eurocode_data.massif_name_to_departement import massif_name_to_eurocode_region
+from extreme_data.eurocode_data.utils import EUROCODE_QUANTILE, EUROCODE_RETURN_LEVEL_STR, \
     YEAR_OF_INTEREST_FOR_RETURN_LEVEL
-from experiment.meteo_france_data.scm_models_data.visualization.create_shifted_cmap import get_shifted_map, get_colors
-from experiment.meteo_france_data.scm_models_data.abstract_extended_study import AbstractExtendedStudy
-from experiment.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
-from experiment.meteo_france_data.scm_models_data.visualization.study_visualizer import \
+from extreme_data.meteo_france_data.scm_models_data.visualization.create_shifted_cmap import get_shifted_map, get_colors
+from extreme_data.meteo_france_data.scm_models_data.abstract_extended_study import AbstractExtendedStudy
+from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
+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
-from extreme_trend_test.abstract_gev_trend_test import AbstractGevTrendTest
-from extreme_trend_test.trend_test_one_parameter.gumbel_trend_test_one_parameter import \
+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_test.trend_test_two_parameters.gumbel_test_two_parameters import \
+from extreme_trend.trend_test_two_parameters.gumbel_test_two_parameters import \
     GumbelLocationAndScaleTrendTest
 from extreme_fit.model.margin_model.linear_margin_model.abstract_temporal_linear_margin_model import \
     TemporalMarginFitMethod

extreme_trend_test/visualizers/study_visualizer_for_shape_repartition.py → extreme_trend/visualizers/study_visualizer_for_shape_repartition.py

 import matplotlib
 from cached_property import cached_property
 
-from experiment.meteo_france_data.scm_models_data.visualization.create_shifted_cmap import get_shifted_map
-from experiment.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
-from extreme_trend_test.visualizers.study_visualizer_for_non_stationary_trends import \
+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 \
     StudyVisualizerForNonStationaryTrends
 
 

extreme_trend_test/visualizers/utils.py → extreme_trend/visualizers/utils.py

@@ -2,7 +2,7 @@ from collections import OrderedDict
 
 from extreme_fit.model.margin_model.linear_margin_model.abstract_temporal_linear_margin_model import \
     TemporalMarginFitMethod
-from extreme_trend_test.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
     StudyVisualizerForNonStationaryTrends
 
 def load_altitude_to_visualizer(altitudes, massif_names, model_subsets_for_uncertainty, study_class,

projects/contrasting_snow_loads/check_mcmc_convergence_for_return_levels/main_bayesian_mcmc.py

@@ -2,9 +2,9 @@ import pandas as pd
 import seaborn as sns
 
 import matplotlib.pyplot as plt
-from experiment.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal
-from experiment.meteo_france_data.scm_models_data.visualization.utils import create_adjusted_axes
-from experiment.exceeding_snow_loads.check_mcmc_convergence_for_return_levels.gelman_convergence_test import \
+from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal
+from extreme_data.meteo_france_data.scm_models_data.visualization.utils import create_adjusted_axes
+from extreme_data.exceeding_snow_loads.check_mcmc_convergence_for_return_levels.gelman_convergence_test import \
     compute_gelman_score
 from extreme_fit.estimator.margin_estimator.utils import fitted_linear_margin_estimator
 from extreme_fit.distribution.gev.gev_params import GevParams

projects/contrasting_snow_loads/check_mcmc_convergence_for_return_levels/main_gelman_convergence_test.py

 import pandas as pd
 
-from experiment.exceeding_snow_loads.paper_main_utils import load_altitude_to_visualizer
-from experiment.exceeding_snow_loads.paper_utils import paper_altitudes, paper_study_classes
+from extreme_data.exceeding_snow_loads.paper_main_utils import load_altitude_to_visualizer
+from extreme_data.exceeding_snow_loads.paper_utils import paper_altitudes, paper_study_classes
 from extreme_fit.model.margin_model.linear_margin_model.temporal_linear_margin_models import StationaryTemporalModel
 from root_utils import get_display_name_from_object_type
 

projects/contrasting_snow_loads/main_result.py

@@ -2,19 +2,19 @@ from multiprocessing.pool import Pool
 
 import matplotlib as mpl
 
-from extreme_trend_test.visualizers.utils import load_altitude_to_visualizer
+from extreme_trend.visualizers.utils import load_altitude_to_visualizer
 
 mpl.use('Agg')
 mpl.rcParams['text.usetex'] = True
 mpl.rcParams['text.latex.preamble'] = [r'\usepackage{amsmath}']
 
-from experiment.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
-from experiment.meteo_france_data.scm_models_data.safran.safran import SafranPrecipitation3Days, \
+from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
+from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranPrecipitation3Days, \
     SafranPrecipitation1Day, SafranPrecipitation5Days, SafranPrecipitation7Days, SafranSnowfall1Day, \
     SafranSnowfall5Days, SafranSnowfall3Days, SafranSnowfall7Days, SafranRainfall1Day, SafranRainfall3Days, \
     SafranRainfall5Days, SafranRainfall7Days
 
-from experiment.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoad3Days, \
+from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoad3Days, \
     CrocusSnowLoad5Days, CrocusSnowLoad7Days, CrocusSnowLoad1Day
 from extreme_fit.model.result_from_model_fit.result_from_extremes.confidence_interval_method import \
     ConfidenceIntervalMethodFromExtremes

projects/contrasting_snow_loads/main_spatial_relative_change_in_maxima_at_fixed_altitude.py

-from experiment.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoad3Days, \
+from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoad3Days, \
     CrocusSnowLoadTotal
-from experiment.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall, SafranRainfall, SafranPrecipitation
-from experiment.meteo_france_data.scm_models_data.visualization.study_visualizer import \
+from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall, SafranRainfall, SafranPrecipitation
+from extreme_data.meteo_france_data.scm_models_data.visualization.study_visualizer import \
     StudyVisualizer
 import matplotlib.pyplot as plt
 

projects/contrasting_snow_loads/plot_contrasting_trend_curves.py

 from typing import Dict
 import matplotlib.pyplot as plt
 
-from experiment.meteo_france_data.scm_models_data.abstract_extended_study import AbstractExtendedStudy
-from experiment.meteo_france_data.scm_models_data.visualization.utils import create_adjusted_axes
+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_test.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
     StudyVisualizerForNonStationaryTrends
 
 

projects/exceeding_snow_loads/checks/mixed_distribution/mixed_distribution_impact.py

 import pandas as pd
 
-from experiment.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal
-from extreme_trend_test.visualizers.study_visualizer_for_non_stationary_trends import StudyVisualizerForNonStationaryTrends
+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
 
 
 def mix_dsitrbution_impact():

projects/exceeding_snow_loads/checks/qqplot/main_qqplot_for_big_shapes.py

 import matplotlib.pyplot as plt
 
-from experiment.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal
-from experiment.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
+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_test.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
     StudyVisualizerForNonStationaryTrends
 
 

projects/exceeding_snow_loads/checks/qqplot/plot_qqplot.py

@@ -6,13 +6,13 @@ import numpy as np
 import pandas as pd
 from matplotlib.ticker import PercentFormatter
 
-from experiment.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal
+from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal
 from extreme_fit.model.margin_model.linear_margin_model.abstract_temporal_linear_margin_model import \
     TemporalMarginFitMethod
 from extreme_fit.model.result_from_model_fit.result_from_extremes.abstract_extract_eurocode_return_level import \
     AbstractExtractEurocodeReturnLevel
 from projects.exceeding_snow_loads.data.main_example_swe_total_plot import tuples_for_examples_paper1
-from extreme_trend_test.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
     StudyVisualizerForNonStationaryTrends
 from extreme_fit.distribution.gev.gev_params import GevParams
 

projects/exceeding_snow_loads/checks/uncertainty_interval_size.py

@@ -2,8 +2,8 @@ from typing import Dict
 
 import pandas as pd
 
-from experiment.eurocode_data.utils import EUROCODE_ALTITUDES
-from extreme_trend_test.visualizers.study_visualizer_for_non_stationary_trends import \
+from extreme_data.eurocode_data.utils import EUROCODE_ALTITUDES
+from extreme_trend.visualizers.study_visualizer_for_non_stationary_trends import \
     StudyVisualizerForNonStationaryTrends, ModelSubsetForUncertainty
 
 

projects/exceeding_snow_loads/checks/without_maximum/main_fit_without_maximum.py

 from typing import Dict
 
-from experiment.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal
-from experiment.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
+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 projects.exceeding_snow_loads.check_mle_convergence_for_trends.without_maximum.study_visualizer_for_fit_witout_maximum import \
     StudyVisualizerForFitWithoutMaximum