Update app.py

app.py

@@ -35,12 +35,14 @@ def calculate_volume_profile(data, row_layout):
     # Create a DataFrame for volume profile
     volume_profile = pd.DataFrame(0, index=bin_edges[:-1], columns=['Total Volume'])
 
-    for index, row in data.iterrows():
+    for _, row in data.iterrows():
+        # Ensure the bin indices are integers
         bin_indices = np.digitize([row['Low'], row['High']], bin_edges) - 1
-        bin_indices = [max(0, min(bins-2, b)) for b in bin_indices]
+        bin_indices = [int(max(0, min(bins - 2, b))) for b in bin_indices]
 
-        # Update the volume for the respective bin ranges
-        volume_profile.iloc[bin_indices[0]:bin_indices[1] + 1, 0] += row['Volume']
+        # Ensure bin_indices are valid for iloc slicing
+        if bin_indices[0] <= bin_indices[1]:
+            volume_profile.iloc[bin_indices[0]:bin_indices[1] + 1, 0] += row['Volume']
 
     return volume_profile