final commit

2025_03_21/2_to_shp.py

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+import pandas as pd
+import geopandas as gpd
+from shapely.geometry import Point
+
+# 1. Load the interpolated CSV
+df = pd.read_csv("out/interpolated_trace.csv", encoding='UTF-8', on_bad_lines='skip', delimiter=';')  # or 'cp1252' if needed
+
+# 2. Define your coordinate column names (replace if needed)
+x_col = 'Lambert_X'
+y_col = 'Lambert_Y'
+
+# 3. Create geometry from X and Y
+geometry = [Point(xy) for xy in zip(df[x_col], df[y_col])]
+
+# 4. Create GeoDataFrame
+gdf = gpd.GeoDataFrame(df, geometry=geometry)
+
+# 5. Set CRS (Lambert 93 = EPSG:2154, common in France)
+gdf.set_crs(epsg=2154, inplace=True)
+
+# 6. Export to shapefile
+gdf.to_file("out/interpolated_trace.shp")
+
+print("✅ Shapefile created: interpolated_trace.shp")