From e7e03e12922be7a80612e2b5536e5e2bcfd00857 Mon Sep 17 00:00:00 2001 From: Pritimay Sarkar Date: Mon, 25 Sep 2023 10:24:16 +0530 Subject: [PATCH] recompute 16 sept data --- scripts/recompute.py | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/scripts/recompute.py b/scripts/recompute.py index f405c17..23cd1f7 100644 --- a/scripts/recompute.py +++ b/scripts/recompute.py @@ -6,7 +6,7 @@ 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") +df = pd.read_excel(curdir + path_delim + "data/data_25_09_2023_10_06.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] @@ -18,10 +18,17 @@ 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) +df["led1BufferRc"] = pd.to_numeric(df["led1BufferRc"]) +df["led1SampleRc"] = pd.to_numeric(df["led1SampleRc"]) +df["led2BufferRc"] = pd.to_numeric(df["led2BufferRc"]) +df["led2SampleRc"] = pd.to_numeric(df["led2SampleRc"]) + +df["absorbance"] = - np.log(df["led1BufferRc"] / df["led1SampleRc"]) / - np.log(df["led2BufferRc"] / df["led2SampleRc"]) +# =IF(E17=W17,"Match"," ") 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') + +writer = pd.ExcelWriter(curdir + path_delim + "data/recompute3.xlsx", engine = 'openpyxl') df.to_excel(writer, sheet_name = 'op', index=False) writer.close() \ No newline at end of file