Commit 9eb670da authored by Le Roux Erwan's avatar Le Roux Erwan
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[paper 2] add main plot for big shapes

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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.study_visualization.main_study_visualizer import \
ALL_ALTITUDES_WITHOUT_NAN
from experiment.paper_past_snow_loads.study_visualizer_for_non_stationary_trends import \
StudyVisualizerForNonStationaryTrends
def qqplots_for_biggest_shape_parameters_before_selection():
altitudes = ALL_ALTITUDES_WITHOUT_NAN
altitude_to_visualizer = {altitude: StudyVisualizerForNonStationaryTrends(CrocusSnowLoadTotal(altitude=altitude),
select_only_acceptable_shape_parameter=False,
multiprocessing=True)
for altitude in altitudes}
plot_qqplot_for_time_series_with_worst_shape_parameters(altitude_to_visualizer, nb_worst_examples=5)
def plot_qqplot_for_time_series_with_worst_shape_parameters(
altitude_to_visualizer: Dict[int, StudyVisualizerForNonStationaryTrends],
nb_worst_examples=3):
# Extract all the values
l = []
for a, v in altitude_to_visualizer.items():
l.extend([(a, v, m, t.unconstrained_estimator_gev_params.shape) for m, t in v.massif_name_to_trend_test_that_minimized_aic.items()])
# Sort them and keep the highest examples
l = sorted(l, key=lambda t: t[-1])
print('Highest examples:')
for a, v, m, shape in l[-nb_worst_examples:][::-1]:
print(a, m, shape)
v.qqplot(m)
print('Lowest examples:')
for a, v, m, shape in l[:1]:
print(a, m, shape)
v.qqplot(m)
"""
10 Worst examples:
300 Oisans 1.1070477650581747
300 Mercantour 1.0857026816954518
300 Haut_Var-Haut_Verdon 0.8446498197950775
600 Haut_Var-Haut_Verdon 0.7058940819679821
300 Devoluy 0.6118436479835319
600 Mercantour 0.4580626323761203
300 Vanoise 0.42632782561692767
600 Ubaye 0.41433496140619247
300 Vercors 0.41292383543990946
300 Bauges 0.39291367817905504
"""
"""
for the worst example for -shape
1500 Vercors 0.5697054636978954
3000 Haute-Tarentaise 0.37528087242416885
2700 Chablais 0.3116920569770965
2700 Aravis 0.2950327331813883
1500 Oisans 0.2942533152179413
1200 Chartreuse 0.2925925517975945
1200 Grandes-Rousses 0.2886979734343222
1500 Devoluy 0.2769805270894181
2100 Chablais 0.27558561202487164
2700 Mont-Blanc 0.2712596135797868
"""
if __name__ == '__main__':
qqplots_for_biggest_shape_parameters_before_selection()
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