recompute 16 sept data

This commit is contained in:
Pritimay Sarkar
2023-09-25 10:24:16 +05:30
parent cd3608c0a6
commit e7e03e1292

View File

@@ -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()