Add files via upload

serial_plot.py

@@ -0,0 +1,69 @@
+import matplotlib.pyplot as plt
+import matplotlib.animation as animate
+import math, json, traceback
+
+try:
+    import matplotlib
+    matplotlib.use("QtAgg")  # to force use one of the matplot's UI backend instead of an IDE's choice
+except ImportError:
+    traceback.print_exc()
+
+
+def plotter():
+    a = json.load(open('settings.json', 'r'))
+    sensors = len(a['sensor_ports'])
+    windowsize = a['winSize']
+    delay = a["delay"] / 1000
+    file = open(a["file_name"], "r")
+
+    colors = ['blue', 'orange', 'green', 'yellow']
+
+    fig, axs = plt.subplots(1, 1)
+
+    timeStamps = []
+    sensorsData = []
+
+    i = 0
+    while i <= sensors:
+        sensorsData.append([])
+        i = i + 1
+
+    def animation(t):
+        next_line = file.readline()
+        if next_line:
+            line = next_line.split(',')
+            if len(line) >= sensors:
+                i = 1
+                timeStamps.append(line[0])
+                # idk what this condition does.... Nathan wrote this without saying much
+                if windowsize != 0 and len(timeStamps) > math.ceil(windowsize / delay):
+                    timeStamps.pop(0)
+                val_lists = []
+                while i <= sensors:
+                    if not line[i]:  # pass on invalid values
+                        continue
+                    sensorsData[i - 1].append(float(line[i]))  # cast it to float so the y-axis will not jump around
+                    # idk what this condition does.... Nathan wrote this without saying much
+                    if windowsize != 0 and len(sensorsData[i - 1]) > math.ceil(windowsize / delay):
+                        sensorsData[i - 1].pop(0)
+                    val_lists.append(sensorsData[i - 1])
+                    i += 1
+                for j in range(len(val_lists)):
+                    axs.plot(val_lists[j], color=colors[j],
+                             label=f'sensor {j + 1}')  # TODO: display sensor number to the actual arduino's port &
+                    # axs.annotate('%0.2f' % val_lists[j][-1], xy=(1, val_lists[j][-1]), xytext=(8, 0),
+                    #              xycoords=('axes fraction', 'data'), textcoords='offset points')
+
+
+                # Acknowledgement: https://stackoverflow.com/a/13589144
+                handles, labels = plt.gca().get_legend_handles_labels()
+                by_label = dict(zip(labels, handles))
+                axs.legend(by_label.values(), by_label.keys(), loc='best')
+
+    ani = animate.FuncAnimation(plt.gcf(), func=animation)  # , interval=delay * 500)
+    # ani.save("plot.gif")
+    # plt.ion()
+    plt.show(block=True)
+
+
+#plotter()

test.py

@@ -3,6 +3,7 @@ from datetime import datetime
 from threading import *
 import os, json, sys, wx, subprocess
 import serial.tools.list_ports
+from serial_plot import *
 import numpy as np
 
 HEIGHT = 800
@@ -119,6 +120,10 @@ def run(e):
         frame.Close()
     wx.MessageBox(save_diag, "Info", style=wx.ICON_INFORMATION)
 
+def runPlot(e):
+    plotter()
+    wx.MessageBox("Your data is being plotted", "Info", style = wx.ICON_INFORMATION)
+
 
 if __name__ == '__main__':
     app = wx.App()
@@ -126,6 +131,7 @@ if __name__ == '__main__':
     get_devices()
     frame.SetTitle("Cease your resistance! - a0.0.0")
     frame.btLaunch.Bind(wx.EVT_BUTTON, run)
+    frame.plot_but.Bind(wx.EVT_BUTTON, runPlot)
     frame.Show()
     frame.m_textCtrl26.SetValue("480")
     app.MainLoop()