Add headers to recorded data
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@ -5,6 +5,7 @@ from datetime import datetime
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import serial, time, json
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import serial, time, json
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import serial.tools.list_ports
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import serial.tools.list_ports
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import numpy as np
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import numpy as np
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import csv
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# constant settings
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# constant settings
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SENSORS_MAX = 4 # maximum sensor ports
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SENSORS_MAX = 4 # maximum sensor ports
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@ -27,6 +28,13 @@ def read():
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raise ValueError("Port range is 0-3!")
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raise ValueError("Port range is 0-3!")
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if "- No Device -" in port:
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if "- No Device -" in port:
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# generate random value
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# generate random value
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# open the file and add a line of header to it, then close
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f = open(file_name, "a", newline="", encoding="utf-8")
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writer = csv.writer(f)
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header = ['Time', 'Resistance']
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writer.writerow(header)
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f.close()
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while True:
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while True:
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dat_list = np.random.randint(0, v_in * 1000, SENSORS_MAX) # create a randomized voltage data
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dat_list = np.random.randint(0, v_in * 1000, SENSORS_MAX) # create a randomized voltage data
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# take only the nonzero indices, and truncated to two decimal places to "filter" out some hardware errors
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# take only the nonzero indices, and truncated to two decimal places to "filter" out some hardware errors
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@ -5,6 +5,7 @@ import numpy as np
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import matplotlib
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import matplotlib
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import matplotlib.pyplot as plt
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import matplotlib.pyplot as plt
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import decimal
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import decimal
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from itertools import islice
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matplotlib.use("WXAgg") # for JetBrains IDE to force use wxPython as backend UI for plotting
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matplotlib.use("WXAgg") # for JetBrains IDE to force use wxPython as backend UI for plotting
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@ -55,7 +56,7 @@ class SerialPlotter:
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plt.cla() # clear previous frame
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plt.cla() # clear previous frame
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# read the last line from the .csv file, the data start from the second column so omit index #0
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# read the last line from the .csv file, the data start from the second column so omit index #0
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file = open(self.settings["file_name"], "r")
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file = open(self.settings["file_name"], "r")
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ndata = np.array([np.asarray(line.split(", ")[1:], dtype=np.float32) for line in file])
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ndata = np.array([np.asarray(line.split(", ")[1:], dtype=np.float32) for line in islice(file, 1, None)])#read from the second row of the file ignoring headers
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if len(ndata) > 0:
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if len(ndata) > 0:
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row = ndata[-1]
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row = ndata[-1]
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i = 0
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i = 0
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