final commit

2025_03_21/1_interpolation.py

@@ -0,0 +1,20 @@
+import pandas as pd
+
+# Load the full CSV (with all columns)
+df = pd.read_csv("in/df_suppressed.csv", encoding='UTF-8', on_bad_lines='skip', delimiter=';')  # or 'cp1252' if needed
+
+# Replace "X" and "Y" with your actual column names if needed
+x_col = 'Lambert_X'
+y_col = 'Lambert_Y'
+
+# Ensure X and Y are numeric, coerce invalid to NaN
+df[x_col] = pd.to_numeric(df[x_col], errors='coerce')
+df[y_col] = pd.to_numeric(df[y_col], errors='coerce')
+
+# Interpolate only the X and Y columns (other columns untouched)
+df[[x_col, y_col]] = df[[x_col, y_col]].interpolate(method='linear', limit_direction='both')
+
+# Save to a new CSV
+df.to_csv("out/interpolated_trace.csv", index=False, sep=';')
+
+print("✅ Interpolation done on X/Y. Other columns preserved.")