plots that should work

app.py

@@ -5,7 +5,7 @@ import json
 import time
 import matplotlib.pyplot as plt
 import numpy as np
-import datetime
+from datetime import datetime
 import pytz
 import pandas as pd
 
@@ -676,8 +676,6 @@ def get_data_default(time_scale, exp):
         
     client.unsubscribe(f"pioreactor/{PIOREACTOR}/readings")
     
-    plots = [None, None, None, None]  
-    
     if temp_graph is not None:
         for temp in temp_graph:
             utc_time = datetime.strptime(temp["x"], "%Y-%m-%dT%H:%M:%S.%fZ")
@@ -689,14 +687,14 @@ def get_data_default(time_scale, exp):
         df = df.set_index("x")
         
         plt.figure()
-        plt.plot(df.index, df["temperature"])
+        plt.plot(df.index, df["y"])
         plt.xlabel("Time")
         plt.ylabel("Temperature")
         plt.title("Temperature vs Time")
         plot1 = plt.gcf()
         plt.close()
     else:
-        fig = None
+        plot1 = None
         
     if od_graph is not None:
         for od in od_graph:
@@ -707,10 +705,17 @@ def get_data_default(time_scale, exp):
             od["x"] = local_time.strftime("%Y-%m-%d %H:%M:%S")
         df = pd.DataFrame(od_graph)
         df = df.set_index("x")
-        
-        fig1 = go.Figure(data=go.Scatter(x=df.index, y=df["od"], mode="lines"))
+
+        plt.figure()
+        plt.plot(df.index, df["y"])
+        plt.xlabel("Time")
+        plt.ylabel("OD")
+        plt.title("OD vs Time")
+        plot2 = plt.gcf()
+        plt.close()
     else:
-        fig1 = None 
+        plot2 = None
+        
     
     if norm_od_graph is not None:
         for od in norm_od_graph:
@@ -722,9 +727,16 @@ def get_data_default(time_scale, exp):
         df = pd.DataFrame(norm_od_graph)
         df = df.set_index("x")
         
-        fig2 = go.Figure(data=go.Scatter(x=df.index, y=df["normalized_od"], mode="lines"))
+        plt.figure()
+        plt.plot(df.index, df["y"])
+        plt.xlabel("Time")
+        plt.ylabel("Normalized OD")
+        plt.title("Normalized OD vs Time")
+        plot3 = plt.gcf()
+        plt.close()
     else:
-        fig2 = None
+        plot3 = None
+        
         
     if growth_rate_graph is not None:
         for gr in growth_rate_graph:
@@ -735,12 +747,19 @@ def get_data_default(time_scale, exp):
             gr["x"] = local_time.strftime("%Y-%m-%d %H:%M:%S")
         df = pd.DataFrame(growth_rate_graph)
         df = df.set_index("x")
-
-        fig3 = go.Figure(data=go.Scatter(x=df.index, y=df["growth_rate"], mode="lines"))
+        
+        plt.figure()
+        plt.plot(df.index, df["y"])
+        plt.xlabel("Time")
+        plt.ylabel("Growth Rate")
+        plt.title("Growth Rate vs Time")
+        plot4 = plt.gcf()
+        plt.close()
     else:
-        fig3 = None
-    
-    return plot1, fig1, fig2, fig3
+        plot4 = None
+
+    # Return both plots
+    return plot1, plot2, plot3, plot4
     
     
 # Define the interface components