From 35620a94b429794376d7abd66994aea6e43af92f Mon Sep 17 00:00:00 2001
From: Le Roux Erwan <erwan.le-roux@irstea.fr>
Date: Thu, 8 Oct 2020 18:04:08 +0200
Subject: [PATCH] [contrasting] improve plots for the first version of the
paper.
---
.../altitudes_fit/main_altitudes_studies.py | 9 +++--
.../one_fold_analysis/altitude_group.py | 16 ++++++++
...es_visualizer_for_non_stationary_models.py | 30 ++++++++++----
.../plots/plot_histogram_altitude_studies.py | 39 +++++++++++++------
.../preliminary_analysis.py | 3 +-
5 files changed, 73 insertions(+), 24 deletions(-)
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 4b0f672b..64cb1a60 100644
--- a/projects/altitude_spatial_model/altitudes_fit/main_altitudes_studies.py
+++ b/projects/altitude_spatial_model/altitudes_fit/main_altitudes_studies.py
@@ -55,9 +55,10 @@ def main_loop(altitudes_list, massif_names, seasons, study_classes):
def plot_visualizers(massif_names, visualizer_list):
- plot_histogram_all_trends_against_altitudes(massif_names, visualizer_list)
- plot_histogram_all_models_against_altitudes(massif_names, visualizer_list)
- plot_shoe_plot_changes_against_altitude(massif_names, visualizer_list)
+ # plot_histogram_all_trends_against_altitudes(massif_names, visualizer_list)
+ # plot_histogram_all_models_against_altitudes(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)
pass
@@ -70,7 +71,7 @@ def plot_visualizer(massif_names, visualizer):
# for change in [True, False, None]:
# studies.plot_mean_maxima_against_altitude(massif_names=massif_names, std=std, change=change)
# Plot the results for the model that minimizes the individual aic
- plot_individual_aic(visualizer)
+ # plot_individual_aic(visualizer)
# Plot the results for the model that minimizes the total aic
# plot_total_aic(model_classes, visualizer)
pass
diff --git a/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitude_group.py b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitude_group.py
index 4d9a644f..fecd357a 100644
--- a/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitude_group.py
+++ b/projects/altitude_spatial_model/altitudes_fit/one_fold_analysis/altitude_group.py
@@ -46,6 +46,10 @@ class LowAltitudeGroup(AbstractAltitudeGroup):
def group_id(self):
return 1
+ @property
+ def graduation_for_return_level(self):
+ return 10
+
@property
def name(self):
return 'low'
@@ -61,6 +65,10 @@ class MidAltitudeGroup(AbstractAltitudeGroup):
def group_id(self):
return 2
+ @property
+ def graduation_for_return_level(self):
+ return 20
+
@property
def name(self):
return 'mid'
@@ -76,6 +84,10 @@ class HighAltitudeGroup(AbstractAltitudeGroup):
def group_id(self):
return 3
+ @property
+ def graduation_for_return_level(self):
+ return 40
+
@property
def name(self):
return 'high'
@@ -95,6 +107,10 @@ class VeyHighAltitudeGroup(AbstractAltitudeGroup):
def name(self):
return 'very high'
+ @property
+ def graduation_for_return_level(self):
+ return 80
+
@property
def reference_altitude(self):
return 3300
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 6ee246b2..8825fb09 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
@@ -155,11 +155,15 @@ class AltitudesStudiesVisualizerForNonStationaryModels(StudyVisualizer):
if is_return_level_plot:
add_colorbar = True
max_abs_change = None
- massif_name_to_text = {m: '+- 0' for m in massif_name_to_text.keys()}
+ massif_name_to_text = None
+ graduation = self.altitude_group.graduation_for_return_level
+ else:
+ graduation = 10
negative_and_positive_values = self.moment_names.index(method_name) > 0
# Plot the map
- self.plot_map(cmap=plt.cm.coolwarm, fit_method=self.fit_method, graduation=10,
+
+ self.plot_map(cmap=plt.cm.coolwarm, fit_method=self.fit_method, graduation=graduation,
label=ylabel, massif_name_to_value=massif_name_to_value,
plot_name=plot_name, add_x_label=True,
negative_and_positive_values=negative_and_positive_values,
@@ -172,8 +176,8 @@ class AltitudesStudiesVisualizerForNonStationaryModels(StudyVisualizer):
@property
def add_colorbar(self):
- # return isinstance(self.altitude_group, (VeyHighAltitudeGroup))
- return isinstance(self.altitude_group, (VeyHighAltitudeGroup, MidAltitudeGroup))
+ return isinstance(self.altitude_group, (VeyHighAltitudeGroup))
+ # return isinstance(self.altitude_group, (VeyHighAltitudeGroup, MidAltitudeGroup))
def plot_against_years(self, method_name, order):
ax = plt.gca()
@@ -406,16 +410,26 @@ class AltitudesStudiesVisualizerForNonStationaryModels(StudyVisualizer):
percents = 100 * nbs / nb_valid_massif_names
return [nb_valid_massif_names] + list(percents)
- def all_changes(self, massif_names):
+ def all_changes(self, massif_names, relative=False):
"""return percents which contain decrease, significant decrease, increase, significant increase percentages"""
valid_massif_names = self.get_valid_names(massif_names)
changes = []
+ non_stationary_changes = []
+ non_stationary_significant_changes = []
for one_fold in [one_fold for m, one_fold in self.massif_name_to_one_fold_fit.items()
if m in valid_massif_names]:
# Compute changes
- changes.append(one_fold.change_in_return_level_for_reference_altitude)
-
- return changes
+ if relative:
+ change = one_fold.relative_change_in_return_level_for_reference_altitude
+ else:
+ change = one_fold.change_in_return_level_for_reference_altitude
+ changes.append(change)
+ if change != 0:
+ non_stationary_changes.append(change)
+ if one_fold.is_significant:
+ non_stationary_significant_changes.append(change)
+
+ return changes, non_stationary_changes, non_stationary_significant_changes
def get_valid_names(self, massif_names):
valid_massif_names = set(self.massif_name_to_one_fold_fit.keys())
diff --git a/projects/altitude_spatial_model/altitudes_fit/plots/plot_histogram_altitude_studies.py b/projects/altitude_spatial_model/altitudes_fit/plots/plot_histogram_altitude_studies.py
index 58a56bb3..8c04dd74 100644
--- a/projects/altitude_spatial_model/altitudes_fit/plots/plot_histogram_altitude_studies.py
+++ b/projects/altitude_spatial_model/altitudes_fit/plots/plot_histogram_altitude_studies.py
@@ -4,6 +4,7 @@ from typing import List
import numpy as np
import matplotlib.pyplot as plt
+from matplotlib.lines import Line2D
from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitudes_studies_visualizer_for_non_stationary_models import \
AltitudesStudiesVisualizerForNonStationaryModels
@@ -114,10 +115,14 @@ def plot_histogram_all_trends_against_altitudes(massif_names, visualizer_list: L
def plot_shoe_plot_changes_against_altitude(massif_names, visualizer_list: List[
- AltitudesStudiesVisualizerForNonStationaryModels]):
+ AltitudesStudiesVisualizerForNonStationaryModels],
+ relative=False):
visualizer = visualizer_list[0]
- all_changes = [v.all_changes(massif_names) for v in visualizer_list]
+ all_changes = [v.all_changes(massif_names, relative=relative) for v in visualizer_list]
+ all_changes = list(zip(*all_changes))
+ labels = ['All models', 'Non-stationary models', 'Non-stationary and significant models']
+ colors = ['darkgreen', 'forestgreen', 'limegreen']
nb_massifs = [len(v.get_valid_names(massif_names)) for v in visualizer_list]
plt.close()
@@ -128,27 +133,39 @@ def plot_shoe_plot_changes_against_altitude(massif_names, visualizer_list: List[
labelsize = 10
linewidth = 3
- x = np.array([3 * width * (i + 1) for i in range(len(nb_massifs))])
- ax.boxplot(all_changes, positions=x, widths=width)
+ x = np.array([4 * width * (i + 1) for i in range(len(nb_massifs))])
- ax.legend(loc='upper left', prop={'size': size})
- ax.set_ylabel('Changes between 1969 and 2019 in {}-year return levels ({})'.format(OneFoldFit.return_period,
- visualizer.study.variable_unit),
+ for changes in all_changes:
+ print(changes)
+ for j, (changes, label, color) in enumerate(list(zip(all_changes, labels, colors)), -1):
+ bplot = ax.boxplot(list(changes), positions=x + j * width, widths=width, patch_artist=True)
+ for patch in bplot['boxes']:
+ patch.set_facecolor(color)
+
+ custom_lines = [Line2D([0], [0], color=color, lw=4) for color in colors]
+ ax.legend(custom_lines, labels, loc='lower right')
+
+ start = 'Relative changes' if relative else 'Changes'
+ unit = '\%' if relative else visualizer.study.variable_unit
+ ax.set_ylabel('{} between 1969 and 2019 in {}-year return levels ({})'.format(start, OneFoldFit.return_period,
+ unit),
fontsize=legend_fontsize)
ax.set_xlabel('Altitudes', fontsize=legend_fontsize)
ax.tick_params(axis='both', which='major', labelsize=labelsize)
ax.set_xticks(x)
ax.yaxis.grid()
+
altitudes = [v.altitude_group.reference_altitude for v in visualizer_list]
ax.set_xticklabels([str(a) for a in altitudes])
- shift = 300
- ax.set_xlim((min(altitudes) - shift, max(altitudes) + shift))
+ shift = 2 * width
+ ax.set_xlim((min(x) - shift, max(x) + shift))
- plot_nb_massif_on_upper_axis(ax, labelsize, legend_fontsize, nb_massifs, x)
+ # I could display the number of massif used to build each box plot.
+ # plot_nb_massif_on_upper_axis(ax, labelsize, legend_fontsize, nb_massifs, x)
- visualizer.plot_name = 'All changes'
+ visualizer.plot_name = 'All ' + start
visualizer.show_or_save_to_file(add_classic_title=False, no_title=True)
plt.close()
diff --git a/projects/altitude_spatial_model/preliminary_analysis.py b/projects/altitude_spatial_model/preliminary_analysis.py
index 581cabdb..b2942820 100644
--- a/projects/altitude_spatial_model/preliminary_analysis.py
+++ b/projects/altitude_spatial_model/preliminary_analysis.py
@@ -33,6 +33,7 @@ class PointwiseGevStudyVisualizer(AltitudesStudies):
linear_coef, _, r2 = self._plot_gev_params_against_altitude_one_massif(ax, massif_name, param_name)
massif_name_to_linear_coef[massif_name] = 100 * linear_coef[0]
massif_name_to_r2_score[massif_name] = str(round(r2, 2))
+ print(param_name, np.mean([c for c in massif_name_to_linear_coef.values()]))
# Display x label
xticks = [1000 * i for i in range(1, 5)]
@@ -252,7 +253,7 @@ if __name__ == '__main__':
altitudes = [900, 1200, 1500, 1800, 2100, 2400, 2700, 3000, 3300]
altitudes = [600, 900, 1200, 1500, 1800, 2100, 2400, 2700, 3000, 3300, 3600, 3900]
# altitudes = paper_altitudes
- altitudes = [1800, 2100]
+ # altitudes = [1800, 2100]
visualizer = PointwiseGevStudyVisualizer(SafranSnowfall1Day, altitudes=altitudes)
visualizer.plot_gev_params_against_altitude()
# visualizer.plot_gev_params_against_time_for_all_altitudes()
--
GitLab