Commit e8644dc1 authored by Le Roux Erwan's avatar Le Roux Erwan
Browse files

[contrasting] add data section for the paper 2

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Showing with 82 additions and 6 deletions
+82 -6
......@@ -23,7 +23,7 @@ class TwoFoldDatasetsGenerator(object):
for massif_name in self.massif_names:
l = []
for _ in range(self.nb_samples):
# Append to the list
# Append to the list a new two fold dataset
l.append(self.two_fold_datasets(massif_name))
d[massif_name] = l
return d
......
from collections import OrderedDict
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.safran.safran import SafranSnowfall1Day
from extreme_data.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
study_iterator_global, SCM_STUDY_CLASS_TO_ABBREVIATION
from extreme_data.meteo_france_data.scm_models_data.visualization.study_visualizer import \
StudyVisualizer
from projects.exceeding_snow_loads.utils import dpi_paper1_figure
def tuples_for_examples_paper1(examples_for_the_paper=True):
if examples_for_the_paper:
marker_altitude_massif_name_for_paper1 = [
('mediumpurple', 900, 'Ubaye'),
('darkmagenta', 1800, 'Vercors'),
# ('mediumpurple', 2700, 'Beaufortain'),
]
else:
marker_altitude_massif_name_for_paper1 = [
('magenta', 600, 'Parpaillon'),
('darkmagenta', 300, 'Devoluy'),
('mediumpurple', 300, 'Aravis'),
]
return marker_altitude_massif_name_for_paper1
def max_graph_annual_maxima_poster():
"""
We choose these massif because each represents a different eurocode region
we also choose them because they belong to a different climatic area
:return:
"""
save_to_file = False
study_class = SafranSnowfall1Day
examples_for_the_paper = True
ax = plt.gca()
if examples_for_the_paper:
# ax.set_ylim([0, 20])
# ax.set_yticks(list(range(0, 21, 2)))
linewidth = 5
else:
linewidth = 3
marker_altitude_massif_name_for_paper1 = tuples_for_examples_paper1(examples_for_the_paper)
altitude_to_linestyle = OrderedDict()
first_altitude = 900
second_altitude = 2100
altitude_to_linestyle[first_altitude] = 'dashed'
altitude_to_linestyle[second_altitude] = 'dotted'
for altitude, linestyle in altitude_to_linestyle.items():
for study in study_iterator_global([study_class], altitudes=[altitude]):
study_visualizer = StudyVisualizer(study, save_to_file=save_to_file,
verbose=True,
multiprocessing=True)
snow_abbreviation = SCM_STUDY_CLASS_TO_ABBREVIATION[study_class]
tight_pad = {'h_pad': 0.2}
snow_abbreviation = 'max ' + snow_abbreviation
for color, _, massif_name in marker_altitude_massif_name_for_paper1[::-1]:
last_plot = color == "magenta" and altitude == second_altitude
label = '{} massif at {}m'.format(massif_name, altitude)
study_visualizer.visualize_max_graphs_poster(massif_name, altitude, snow_abbreviation, color, label,
last_plot, ax, tight_pad=tight_pad,
dpi=dpi_paper1_figure,
linewidth=linewidth,
linestyle=linestyle)
if __name__ == '__main__':
max_graph_annual_maxima_poster()
......@@ -4,11 +4,11 @@ from multiprocessing.pool import Pool
import matplotlib as mpl
from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day
from projects.contrasting_trends_in_snow_loads.snowfall_versus_time_and_altitude.snowfall_plot import \
from projects.contrasting_trends_in_snow_loads.article2_snowfall_versus_time_and_altitude.snowfall_plot import \
plot_snowfall_mean, plot_snowfall_time_derivative_mean
from projects.contrasting_trends_in_snow_loads.snowfall_versus_time_and_altitude.study_visualizer_for_mean_values import \
from projects.contrasting_trends_in_snow_loads.article2_snowfall_versus_time_and_altitude.study_visualizer_for_mean_values import \
StudyVisualizerForMeanValues
from projects.contrasting_trends_in_snow_loads.snowfall_versus_time_and_altitude.validation_plot import validation_plot
from projects.contrasting_trends_in_snow_loads.article2_snowfall_versus_time_and_altitude.validation_plot import validation_plot
from projects.exceeding_snow_loads.section_results.plot_trend_curves import plot_trend_map
mpl.rcParams['text.usetex'] = True
......
......@@ -7,7 +7,7 @@ from sklearn.linear_model import LinearRegression
from extreme_data.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
SCM_STUDY_CLASS_TO_ABBREVIATION
from extreme_data.meteo_france_data.scm_models_data.visualization.plot_utils import plot_against_altitude
from projects.contrasting_trends_in_snow_loads.snowfall_versus_time_and_altitude.study_visualizer_for_mean_values import \
from projects.contrasting_trends_in_snow_loads.article2_snowfall_versus_time_and_altitude.study_visualizer_for_mean_values import \
StudyVisualizerForMeanValues
......
......@@ -4,7 +4,7 @@ import matplotlib.pyplot as plt
from extreme_data.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
SCM_STUDY_CLASS_TO_ABBREVIATION
from projects.contrasting_trends_in_snow_loads.snowfall_versus_time_and_altitude.study_visualizer_for_mean_values import \
from projects.contrasting_trends_in_snow_loads.article2_snowfall_versus_time_and_altitude.study_visualizer_for_mean_values import \
StudyVisualizerForMeanValues
from projects.ogorman.gorman_figures.figure1.study_visualizer_for_double_stationary_fit import \
StudyVisualizerForReturnLevelChange
......
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