Added separate Y axis for Magnitude and Humidity in subplot

Python_script/prototype.py

@@ -7,6 +7,7 @@ import numpy
 from argparse import ArgumentParser
 import pandas as pd
 import matplotlib.pyplot as plt
+import numpy as np
 import climate_chamber
 import VNA
 import virtual_time
@@ -191,26 +192,33 @@ class Measurements:
         return equilibrium_indicator
 
     def plot_output(self, output_file):
-
         data = pd.read_csv(output_file)
 
-        fig, ax1 = plt.subplots(2, figsize=(8,8))
+        fig, ax1 = plt.subplots(2, figsize=(8, 8))
 
         fig.suptitle("Graphical representation of chamber output", color="red")
 
-        ax1[0].scatter(data.TIMESTAMP, data.S11_PHASE, color='red', marker='<')
-        ax1[0].scatter(data.TIMESTAMP, data.S11_MAGNITUDE, color='pink', marker='4')
-        ax1[0].scatter(data.TIMESTAMP, data.EQUILIBRIUM_INDICATOR, color='black', marker=".")
+        ax1[0].scatter(data.TIMESTAMP, data.S11_PHASE, c='red', marker='<')
+        ax2_0 = ax1[0].twinx()
+        ax2_0.scatter(data.TIMESTAMP, data.S11_MAGNITUDE, c='#002B5B', marker='4')
+        ax3_0 = ax1[0].twinx()
+        ax3_0.scatter(data.TIMESTAMP, data.EQUILIBRIUM_INDICATOR, c='black', marker=".")
+
         ax1[0].set_xlabel("TIMESTAMP")
-        ax1[0].set_ylabel("PHASE, MAGNITUDE", color='red')
+        ax1[0].set_ylabel("PHASE", color='red')
+        ax2_0.set_ylabel("MAGNITUDE", color='#002B5B')
         ax1[0].grid(True, linestyle=":")
         ax1[0].legend(["Phase", "Magnitude", 'Equilibrium_indicator'], loc=6, fontsize=10)
 
-        ax1[1].scatter(data.TIMESTAMP, data.READBACK_TEMPERATURE, color='blue', marker='p')
-        ax1[1].scatter(data.TIMESTAMP, data.READBACK_HUMIDITY, color='green', marker="*")
-        ax1[1].scatter(data.TIMESTAMP, data.EQUILIBRIUM_INDICATOR, color='black', marker=".")
+        ax1[1].scatter(data.TIMESTAMP, data.READBACK_TEMPERATURE, c='blue', marker='p')
+        ax2_1 = ax1[1].twinx()
+        ax1[1].scatter(data.TIMESTAMP, data.READBACK_HUMIDITY, c='green', marker="*")
+        ax3_1 = ax1[1].twinx()
+        ax3_1.scatter(data.TIMESTAMP, data.EQUILIBRIUM_INDICATOR, c='black', marker=".")
+
         ax1[1].set_xlabel("TIMESTAMP")
-        ax1[1].set_ylabel("TEMPERATURE, HUMIDITY", color='blue')
+        ax1[1].set_ylabel("TEMPERATURE ", color='blue')
+        ax2_1.set_ylabel("HUMIDITY", color='green')
         ax1[1].grid(True, linestyle=":")
         ax1[1].legend(["Temperature", "Humidity", 'Equilibrium_indicator'], loc=6, fontsize=10)