xans/3458A-U180-ToolKit
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Update U180-ToolKit.py

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xans 2024-05-05 10:41:16 +02:00
parent 32b3aefe1f
commit 5eb9569afe
1 changed files with 22 additions and 1 deletions
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U180-ToolKit.py
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@ -3,8 +3,12 @@ import os
import json
import time
import csv
import pandas as pd
from plotly.subplots import make_subplots
import plotly.graph_objects as go
from datetime import datetime
import numpy
import GPIBPrologix
import datetime
GPIB = GPIBPrologix.ResourceManager("/dev/ttyACM0")
instObj = GPIB.open_resource(22)
@ -81,3 +85,20 @@ for file in readRunningConfigs():
writer = csv.writer(f)
writer.writerow((interrogate3458A(instObj)))
writeFunc(instObj,"DISP OFF,''")
## do the plotting
for file in readRunningConfigs():
dataPath = os.path.realpath(os.path.dirname(__file__))+'/RunningConfigs/'+file
with open(dataPath, "r") as read_file:
configData = json.load(read_file)
serialPath = os.path.realpath(os.path.dirname(__file__))+'/data/'+configData['serial']+'/'
df = pd.read_csv(serialPath+configData['serial']+'.csv')
time_x = pd.to_datetime(df['DateTime'],format='%d-%m-%y %H:%M:%S')
coefficients = numpy.polyfit(df['TEMP'], df['G10V'], 1, rcond=None, full=False, w=None, cov=False)
polynomial = numpy.poly1d(coefficients)
fig = make_subplots(rows=1, cols=2)
fig.add_trace(go.Scatter(x=time_x, y=df['G10V']-polynomial(df['TEMP']),mode='lines+markers',name='time vs cal72 w tempcomp'),row=1, col=1)
fig.add_trace(go.Scatter(x=df['TEMP'], y=df['G10V'],mode='lines+markers',name='temp vs cal72'),row=1, col=2)
fig.write_html(serialPath+configData['serial']+'.html')