diff --git a/cmm_single_processes/convert_to_csv.py b/cmm_single_processes/convert_to_csv.py
new file mode 100644
index 0000000..c3d050a
--- /dev/null
+++ b/cmm_single_processes/convert_to_csv.py
@@ -0,0 +1,29 @@
+from scrub_layer_class import *
+import pandas as pd
+
+qgis_path = 'C:/Program Files/QGIS 3.34.1/apps/qgis'
+cmm_path = \
+  'C:/Users/a_adli/PycharmProjects/cmm_gis_oo/' \
+  'data/output_data/cmm_points_function_vintage_surface/' \
+  'cmm_points_function_vintage_surface.shp'
+
+cmm = ScrubLayer(qgis_path, cmm_path, 'QC GDTable')
+
+
+field_names = ['id_provinc', 'mat_18', 'code_util', 'superficie',
+               'nom_etage', 'anne_cnstr', 'supfi_etag', 'typ_btmn', 'nom_logm']
+
+# Get the indices of the specified fields
+field_indices = [cmm.layer.fields().indexOf(field) for field in field_names]
+
+# Extract the attribute values and store them in a list of dictionaries
+data = []
+for feature in cmm.layer.getFeatures():
+    attributes = [feature.attributes()[index] for index in field_indices]
+    data.append(dict(zip(field_names, attributes)))
+
+# Create a DataFrame from the list of dictionaries
+df = pd.DataFrame(data)
+
+df.to_csv('../data/csv_files/cmm_points_function_vintage_surface.csv',
+          index=False)
diff --git a/cmm_single_processes/remove_the_island.py b/cmm_single_processes/remove_the_island.py
new file mode 100644
index 0000000..e69de29