Plot figures with fixed dimensions by default

las_outputs.py

@@ -56,7 +56,7 @@ def remove_temp_files(directory):
     return None
 
 
-def plot_profiles(profile_name, csv_output_dir, graph_loc, ch_limits, delta_vol, survey_date):
+def plot_profiles(profile_name, csv_output_dir, graph_loc, ch_limits, delta_vol, survey_date, scale_figures=False):
     csv_name = profile_name + '.csv'
     profiles = pd.read_csv(os.path.join(csv_output_dir, csv_name))
 
@@ -79,7 +79,12 @@ def plot_profiles(profile_name, csv_output_dir, graph_loc, ch_limits, delta_vol,
     fig_h = profiles.dropna().values.max() / m_per_inch * vertical_exag
     fig_w = (profiles.index.max() - ch_min) / m_per_inch
 
+    if scale_figures:
         fig, ax = plt.subplots(figsize=(fig_w, fig_h))
+        ax.set_aspect(vertical_exag)
+    else:
+        fig, ax = plt.subplots(figsize=(10, 6))
+
     for col in profiles.columns:
         profile = profiles.loc[ch_min:, col]
         date_str = col.split('_')[-1]
@@ -87,7 +92,6 @@ def plot_profiles(profile_name, csv_output_dir, graph_loc, ch_limits, delta_vol,
 
         ax.plot(profile.index, profile, label=date)
 
-    ax.set_aspect(vertical_exag)
 
     ax.set_xlabel('Chainage (m)', labelpad=10)
     ax.set_ylabel('Elevation (m AHD)', labelpad=10)