diff --git a/outputs_2017088_Survey2.py b/outputs_2017088_Survey2.py
index 0bf723c..fcaaa49 100644
--- a/outputs_2017088_Survey2.py
+++ b/outputs_2017088_Survey2.py
@@ -264,6 +264,7 @@ for i in range(0, len(params_file)): #0, len(params_file)
     update_survey_output(df, csv_output_dir)
 
 
+
     #colourise the point cloud
 
 
@@ -271,5 +272,27 @@ for i in range(0, len(params_file)): #0, len(params_file)
     remove_temp_files(tmp_dir)
     #remove_temp_files(int_dir)
 
+csv_names = [f for f in os.listdir(csv_output_dir) if f.endswith('.csv')]
+ch_limits = pd.read_excel(profile_limit_file, index_col='Profile')
+
+for csv_name in csv_names:
+    profile_name = os.path.splitext(csv_name)[0]
+    profiles = pd.read_csv(os.path.join(csv_output_dir, csv_name))
+
+    # Remove metadata, and extract profile coordinates
+    profiles = profiles.loc[:, 'Chainage':].set_index('Chainage')
+
+    # Remove landward section of profiles (behind beach)
+    ch_min = ch_limits.loc[profile_name, 'Landward Limit']
+    # profiles = profiles.loc[ch_min:]
+
+    profiles.plot(title=profile_name)
+    plt.show()
+
+
+
+
+
+
 print("doing the volume analysis")
-test=profile_plots_volume(csv_output_dir, profile_limit_file, volume_output, graph_loc)
+# test=profile_plots_volume(csv_output_dir, profile_limit_file, volume_output, graph_loc)