Resp 10 implement anomaly det ensemble

src/RespFlow/access_files.py

@@ -47,13 +47,13 @@ def make_paths(root: str | None = None, raw: str | None = None) -> dict[str, str
     path_names = {
         'raw':raw,
         'hard_fault':os.path.join(root, '2_hard_fault'),
-        'detrend':os.path.join(root, '3_detrend'),
-        'micro_interp':os.path.join(root, '4_micro_interp'),
+        'micro_interp':os.path.join(root, '3_micro_interp'),
+        'detrend':os.path.join(root, '4_detrend'),
         'bandpass':os.path.join(root, '5_bandpass'),
-        'fwr':os.path.join(root, '6_fwr'),
-        'screened':os.path.join(root, '7_screened'),
-        'filled':os.path.join(root, '8_filled'),
-        'smooth':os.path.join(root, '9_smoothed'),
+        'anomaly':os.path.join(root, '6_anomaly'),
+        'post_anomaly_interp':os.path.join(root, '7_post_anomaly_interp'),
+        'impute_anomaly':os.path.join(root, '8_impute_anomaly'),
+        'smooth':os.path.join(root, '9_smooth'),
         'feature':os.path.join(root, '10_feature')
     }
 

src/RespFlow/plot_signals.py

@@ -21,7 +21,7 @@ def plot_dashboard(mapped_files : dict[str, str], max_points=10000) -> None:
 
 
     # Define all processing stages in order
-    stages = ['raw', 'hard_fault', 'detrend', 'micro_interp', 'bandpass', 'fwr', 'screened', 'filled', 'smooth', 'feature']
+    stages = ['raw', 'hard_fault', 'micro_interp', 'detrend', 'bandpass', 'anomaly', 'post_anomaly_interp', 'impute_anomaly', 'smooth', 'feature']
 
     app = Dash()
 
@@ -116,9 +116,10 @@ def update_graph(selected_file, selected_stages):
             color = viridis_colors[idx % len(viridis_colors)]
 
             # Data trace - blank gaps where NaN
+            # Looks for column in file with label 'Respiration'
             fig.add_trace(go.Scattergl(
                 x=df[df.columns[0]],
-                y=df[df.columns[1]],
+                y=df['Respiration'],
                 mode='lines',
                 name=stage,
                 line=dict(color=color, width=1.5),