recompute data from device log

scripts/recompute.py

@@ -0,0 +1,27 @@
+import pandas as pd
+import os
+import numpy as np
+import re
+import math
+
+curdir = os.getcwd()
+path_delim = '/'
+df = pd.read_excel(curdir + path_delim + "data/data_22_09_2023_05_29.xlsx", sheet_name="data")
+
+def parse(resultData, idx):
+    result = [line.strip() for line in resultData.split("\n") if "RESULT" in line and "REND" in line]
+    # print(result[-1].split(' '))
+    return result[-1].split(' ')[idx]
+
+df["led1BufferRc"] = df.apply(lambda x: parse(x['resultData'], 3), axis=1)
+df["led1SampleRc"] = df.apply(lambda x: parse(x['resultData'], 5), axis=1)
+df["led2BufferRc"] = df.apply(lambda x: parse(x['resultData'], 4), axis=1)
+df["led2SampleRc"] = df.apply(lambda x: parse(x['resultData'], 6), axis=1)
+
+print(df)
+# df["absorbance"] = df.apply(lambda x: float(x["led1BufferRc"])/float(x["led1SampleRc"]))
+
+
+writer = pd.ExcelWriter(curdir + path_delim + "data/recompute2.xlsx", engine = 'openpyxl')
+df.to_excel(writer, sheet_name = 'op', index=False)
+writer.close()