Delete AnalyzeU180Data.py

AnalyzeU180Data.py

@@ -1,32 +0,0 @@
-import os
-import json
-import time
-import csv
-import GPIBPrologix
-import pandas as pd
-from plotly.subplots import make_subplots
-import plotly.graph_objects as go
-from datetime import datetime
-import numpy
-
-def readRunningConfigs():
-    searchPath = os.path.realpath(os.path.dirname(__file__))+'/RunningConfigs/'
-    filenames = next(os.walk(searchPath), (None, None, []))[2]
-    filenames = [item for item in filenames if str.endswith(item,'.json')]
-    return filenames
-
-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')