Update Quality_Control.py

Quality_Control.py

@@ -925,16 +925,25 @@ def create_line_graph2(quantile):
     
     return p
 
+
+
 # Bind the create_line_graph function to the quantile slider
 nucleus_size_line_graph_with_histogram = pn.bind(create_line_graph2, quantile=quantile_slider.param.value)
 
-# Layout the components in a Panel app
-#nucleus_size_line_graph_with_histogram = pn.Column(create_line_graph2(quantile = quantile_slider.param.value))
-#nucleus_size_line_graph_with_histogram.servable()
-# Layout the components in a Panel app
-plot1 = pn.Column(quantile_slider, pn.pane.Bokeh(nucleus_size_line_graph_with_histogram))
-#plot1.servable()
+# Clean the 'Nucleus_Size' column by removing NaN and infinite values
+df = df[np.isfinite(df['Nucleus_Size'])]  # This will keep only finite values
 
+# Check if the DataFrame is not empty after cleaning
+if df.empty:
+    raise ValueError("No valid data available after cleaning.")
+else:
+    # Calculate the histogram
+    hist, edges = np.histogram(df['Nucleus_Size'], bins=30)
+    print("Histogram calculated successfully.")
+    print("Histogram:", hist)
+    print("Edges:", edges)
+    plot1 = pn.Column(quantile_slider, pn.pane.Bokeh(nucleus_size_line_graph_with_histogram))
+    
 #Removing cells based on nucleus size
 
 quantile = quantile_slider.value