update examples. remove png image

examples/day_for_the_maxima_v2.py

 import pandas as pd
 import numpy as np
 
-from s2m.safran import SafranSnowfall1Day
-from s2m import \
-    SCM_STUDY_CLASS_TO_ABBREVIATION
-from s2m.altitudes_studies import AltitudesStudies
+from s2m.safran.safran import SafranSnowfall1Day
+from s2m.study_utils import SCM_STUDY_CLASS_TO_ABBREVIATION
 
 
 def generate_excel_with_annual_maxima(fast=True, maxima_dates=False):
@@ -17,8 +15,8 @@ def generate_excel_with_annual_maxima(fast=True, maxima_dates=False):
     if maxima_dates:
         study_name += ' - number of days since 1st August, e.g. 1 represents the 2nd of August'
     writer = pd.ExcelWriter('{}.xlsx'.format(study_name), engine='xlsxwriter')
-    altitude_studies = AltitudesStudies(study_class, altitudes)
-    for altitude, study in altitude_studies.altitude_to_study.items():
+    for altitude in altitudes:
+        study = study_class(altitude=altitude)
         write_df_with_annual_maxima_v2(altitude, writer, study, maxima_dates)
     writer.save()
 
@@ -38,26 +36,6 @@ def write_df_with_annual_maxima_v2(altitude, writer, study, maxima_dates=False)
     print(df.head())
     df.to_excel(writer, sheet_name='altitude = {} m'.format(altitude))
 
-def write_df_with_annual_maxima(massif_name, writer, altitude_studies, maxima_dates=False) -> pd.DataFrame:
-    columns = []
-    altitudes = []
-    for altitude, study in altitude_studies.altitude_to_study.items():
-        df_maxima = study.observations_annual_maxima.df_maxima_gev
-        if massif_name in study.study_massif_names:
-            altitudes.append(altitude)
-            s = df_maxima.loc[massif_name]
-            if maxima_dates:
-                values = study.massif_name_to_annual_maxima_index[massif_name]
-                s = pd.Series(index=s.index, data=values)
-                # s.values = np.array(values)
-            # Fit the data and add the parameters as the first columns
-            columns.append(s)
-    df = pd.concat(columns, axis=1)
-    altitude_str = [str(a) + ' m' for a in altitudes]
-    df.columns = altitude_str
-    df.to_excel(writer, sheet_name=massif_name)
-    return df
-
 
 if __name__ == '__main__':
     generate_excel_with_annual_maxima(fast=False, maxima_dates=True)

examples/example1.py

@@ -4,6 +4,8 @@ from s2m.visualization.visualizer import Visualizer
 
 altitude = 2100
 study = SafranTemperature(altitude=altitude, year_min=2020, year_max=2020)
+annual_maxima = study.massif_name_to_annual_maxima["Chartreuse"]
+
 visualizer = Visualizer(study)
 massif_name_to_value = {
     m: v[0] for m, v in study.massif_name_to_annual_maxima.items()
@@ -20,3 +22,5 @@ visualizer.visualize_study(massif_name_to_value=massif_name_to_value, cmap=plt.c
                                                     ' between the 1st August 2019\n and'
                                                     ' the 31st of July 2020 ($^o$C)'.format(altitude))
 
+if __name__ == '__main__':
+    co
\ No newline at end of file