plotly

app.py

@@ -8,6 +8,8 @@ import numpy as np
 import datetime
 import pytz
 import pandas as pd
+import plotly.tools as tls
+import plotly.io as pio
 
 HOST = os.environ.get("host")
 PORT = int(os.environ.get("port"))
@@ -684,15 +686,11 @@ def get_data_default(time_scale, exp):
             utc_time = utc_time.replace(tzinfo=pytz.utc)
             local_time = utc_time.astimezone(local_tz)
             temp["x"] = local_time.strftime("%Y-%m-%d %H:%M:%S")
-        npArray = np.array(temp_graph)
+        df = pd.DataFrame(temp_graph)
+        df = df.set_index("x")
         
-        plt.figure()
-        plt.plot(npArray[:,0], npArray[:,1])    
-        plt.xlabel("Time")
-        plt.ylabel("Temperature (C)")
-        plt.title("Temperature vs Time")
-        plt.legend()
-        plots[0] = plt.gcf()
+        fig = tls.mpl_to_plotly(plt.gcf())
+        plot1 = pio.to_json(fig)
         plt.close()
     else:
         plot1 = None
@@ -707,13 +705,8 @@ def get_data_default(time_scale, exp):
         df = pd.DataFrame(od_graph)
         df = df.set_index("x")
         
-        plt.figure()
-        plt.plot(df.index, df["y"])
-        plt.xlabel("Time")
-        plt.ylabel("OD")
-        plt.title("OD vs Time")
-        plt.legend()
-        plots[1] = plt.gcf()
+        fig = tls.mpl_to_plotly(plt.gcf())
+        plot2 = pio.to_json(fig)
         plt.close()
     else:
         plot2 = None
@@ -728,13 +721,8 @@ def get_data_default(time_scale, exp):
         df = pd.DataFrame(norm_od_graph)
         df = df.set_index("x")
         
-        plt.figure()
-        plt.plot(df.index, df["y"])
-        plt.xlabel("Time")
-        plt.ylabel("Normalized OD")
-        plt.title("Normalized OD vs Time")
-        plt.legend()
-        plots[2] = plt.gcf()
+        fig = tls.mpl_to_plotly(plt.gcf())
+        plot3 = pio.to_json(fig)
         plt.close()
     else:
         plot3 = None
@@ -749,18 +737,13 @@ def get_data_default(time_scale, exp):
         df = pd.DataFrame(growth_rate_graph)
         df = df.set_index("x")
 
-        plt.figure()
-        plt.plot(df.index, df["y"])
-        plt.xlabel("Time")
-        plt.ylabel("Growth Rate")
-        plt.title("Growth Rate vs Time")
-        plt.legend()
-        plots[3] = plt.gcf()
+        fig = tls.mpl_to_plotly(plt.gcf())
+        plot4 = pio.to_json(fig)
         plt.close()
     else:
         plot4 = None
     
-    return plots
+    return plot1, plot2, plot3, plot4
     
     
 # Define the interface components

requirements.txt

@@ -1,3 +1,4 @@
 paho-mqtt>=1.6.1
 matplotlib>=3.3.4
-numpy>=1.20.1
+numpy>=1.20.1
+plotly>=4.14.3