final commit

2026-06-19 11:15:39 +02:00
parent e2b1b20913
commit d095840037
975 changed files with 1232523 additions and 0 deletions
@@ -0,0 +1,64 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+
+# Paths to the cleaned data CSV files
+files = [
+   'output/rive_droite_2024.csv',
+    'output/rive_gauche_2024.csv',
+    'output/canoo_2023.csv',
+    'output/canoo_2020.csv'
+]
+
+sources_files = [
+    'output/sources/points_sources_rive_droite.csv',
+    'output/sources/points_sources_canoo_2023.csv'
+]
+
+colors = ['blue', 'limegreen', 'red', 'purple']  # Colors for each year
+labels = ['2024 Canoe Right Bank', '2024 Canoe Left Bank', '2023 Canoe', '2020 Canoe']  # Labels for each dataset
+
+sources_colors = ['blue', 'red']  # Colors for each year
+
+
+dfs = []  # List to store dataframes
+for file in files:
+    df = pd.read_csv(file)
+    dfs.append(df)
+
+
+sources_dfs = []  # List to store dataframes
+for file in sources_files:
+    df = pd.read_csv(file)
+    sources_dfs.append(df)
+    
+plt.figure(figsize=(12, 8))  # Create a figure with a custom size
+
+for df, color, label in zip(dfs, colors, labels):
+    plt.scatter(df.iloc[:, 0], df.iloc[:, 1], color=color, label=label, alpha=0.8, s=2)  # Plot each year's data
+
+
+for df, color in zip(sources_dfs, sources_colors):
+    bbox_props = dict(boxstyle="round,pad=0.3", fc="white", ec=color, alpha=0.7)
+    for i, row in df.iterrows():
+        plt.scatter(row['distance'], row['conductivite'], color='white', alpha=0.8, s=60, edgecolors='black', linewidth=3)
+        plt.annotate(row['name'], 
+                     (row['distance'], row['conductivite']),
+                     weight='bold' , 
+                     fontsize=11,
+                     xytext=(0, 25),
+                    bbox=bbox_props,
+                    #  arrowprops=dict(facecolor='black', shrink=0.05), 
+                     textcoords='offset points',
+                     ha='center')
+
+
+plt.title('Conductivity by kilometers of river for different year of continuous measurements', y=1 , fontsize = 15, fontweight = 'bold')
+plt.xlabel('Distance (kilometers)')
+plt.ylabel('Conductivity (us/cm)')
+plt.legend(loc='lower right', frameon=True, facecolor='white', edgecolor='black', fancybox=False, framealpha=1)
+plt.grid(True)
+
+# Sauvegarder le graphique
+plt.savefig('output/my_conductivity_plot2.png', format='png', dpi=300, bbox_inches='tight')
+
+plt.show()