graf

main.py

@@ -0,0 +1,21 @@
+#main.py - the main program file of the TeraHz project
+#This code is licensed under 3-clause BSD licensed
+import serial as ser
+
+#global config
+# TODO: move this to another file
+uartpath = '/dev/ttyUSB0'
+uartbaud = 115200
+uarttout = 5
+
+print('TeraHz project')
+print('Accessing the serial port')
+
+sp =  'blank'
+
+try:
+    sp = ser.Serial(uartpath, uartbaud, timeout=uarttout)
+except Exception as e:
+    print('Connection to serial port at {} failed!'.format(uartpath))
+    raise e
+    exit()

utils/getcdata.py

@@ -4,7 +4,8 @@ import serial as ser
 from parse import *
 import pandas as pd
 import numpy as np
-
+import matplotlib.pyplot as plt
+import time
 #global variables
 uartpath = '/dev/ttyUSB0'
 uartbaud = 115200
@@ -13,19 +14,27 @@ uarttout = 5
 wl = [410, 435, 460, 485, 510, 535, 560, 585, 610, 645, 680, 705, 730, 760, 810, 860, 900, 940]
 responseorder = [i for i in 'RSTUVWGHIJKLABCDEF'] # works, do NOT touch!
 realorder = [i for i in 'ABCDEFGHRISJTUVWKL']
+plt.ion()
 
 print('getcdata')
 print('This utility is part of the TeraHz project')
 
 wavelens = pd.Series(realorder)
+data=pd.DataFrame([], [])
 
 wavetable = pd.DataFrame(columns=realorder)
-
+graph=plt.figure()
+plot=graph.add_subplot(111)
 with ser.Serial(uartpath, uartbaud, timeout=uarttout) as sensor:
-    sensor.write(b'ATCDATA\n')
-    rawresp = sensor.readline().decode()
-    # parses, calculates and saves the data
-    response = pd.Series([float(i)/35.0 for i in rawresp[:-3].split(',')], index=responseorder)
-    data = pd.DataFrame(response, index=realorder, columns = ['uW/cm^2']) # puts data into a DataFrame
-    data.insert(0, 'wavelenght', wl) #inserts a legend
-    print(data)
+    while True:
+        sensor.write(b'ATCDATA\n')
+        rawresp = sensor.readline().decode()
+        # parses, calculates and saves the data
+        response = pd.Series([float(i)/35.0 for i in rawresp[:-3].split(',')], index=responseorder)
+        data = pd.DataFrame(response, index=realorder, columns = ['uW/cm^2']) # puts data into a DataFrame
+        data.insert(0, 'wavelenght', wl) #inserts a legend
+        print(data)
+        plot.cla()
+        line=plot.plot(data['wavelenght'], data['uW/cm^2'])
+        graph.canvas.draw()
+        time.sleep(1)