read and save data to excel file

This commit is contained in:
Pritimay Sarkar
2023-08-24 09:33:52 +05:30
parent f8bd0f68b5
commit d41eee32d5
2 changed files with 49 additions and 9 deletions

View File

@@ -72,7 +72,7 @@ if __name__ == "__main__":
df = df.sort_values(by=['testTime'], ascending=False)
# df = df.drop(['resultData', "reportUploadTime", "userImageURL", "testType", "birthYear", "testStatus"], axis=1)
df = df[["_id", "calculatedRatio", "deviceId", "deviceRatio", "deviceType", "kitSerial", "led1Average", "led1Buffer", "led1Sample", "led2Average", "led2Buffer", "led2Sample", "location", "deviceSerialNumber", "name", "testTime"]]
df.rename(columns={'deviceSerialNumber': "loginId", "calculatedRatio": "calibratedRatio"}, inplace = True)
df.rename(columns={'deviceSerialNumber': "login_id", "calculatedRatio": "calibrated_ratio", "led1Buffer": "427_buffer_intensity", "led2Buffer": "555_buffer_intensity", "led1Sample": "427_sample_intensity", "led2Sample": "555_sample_intensity", "led1Average": "427_absorbance", "led2Average": "555_absorbance"}, inplace = True)
df = df.reindex(sorted(df.columns), axis=1)
df.to_excel(writer, sheet_name = 'data', index=False)
writer.close()