final commit

2025_04_08/display_coor.py

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+import pandas as pd
+import geopandas as gpd
+import numpy as np
+import os
+import pyproj
+import matplotlib.pyplot as plt
+from shapely import unary_union
+from shapely.geometry import Point
+from shapely.ops import linemerge
+
+# === PARAMÈTRES ===
+in_path = "in"
+out_path = "out"
+csv_file = "output.csv"
+shapefile_name = "célé.shp"
+
+# Step 1: Load CSV
+df = pd.read_csv(os.path.join(out_path, csv_file), sep=";")
+gdf_cele = gpd.read_file(os.path.join(in_path, shapefile_name))
+
+geometry = [Point(xy) for xy in zip(df["Longitude_WGS"], df["Latitude_WGS"])]
+gdf_points = gpd.GeoDataFrame(df, geometry=geometry)
+gdf_points.set_crs(epsg=4326, inplace=True)
+
+# geometry_proj = [Point(xy) for xy in zip(df["Lon_corr_v2"], df["Lat_corr_v2"])]
+# gdf_points_proj = gpd.GeoDataFrame(df, geometry=geometry_proj)
+# gdf_points_proj.set_crs(epsg=4326, inplace=True)
+
+# Step 5: Plot
+fig, ax = plt.subplots(figsize=(10, 10))
+gdf_points.plot(ax=ax, color='red', markersize=20)
+# gdf_points_proj.plot(ax=ax, color='blue', markersize=10)
+gdf_cele.plot(ax=ax, edgecolor='black', linewidth=1)
+
+plt.title("CSV Points on Map")
+plt.grid(True)
+plt.show()