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1st nov data

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Pritimay Sarkar
2023-11-01 22:46:57 +05:30
parent e35a6153ad
commit da5830b413
2 changed files with 86 additions and 1 deletions
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scripts/consolidated_data.py
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@@ -79,7 +79,7 @@ if __name__ == "__main__":
df = df[(df['testTime'] > start_date) & (df['testTime'] <= end_date)]
df = df.sort_values(by=['testTime'], ascending=False)
df = df[["_id", "calculatedRatio", "deviceId", "deviceRatio", "deviceType", "kitSerial", "led1Average", "led1Buffer", "led1Sample", "led2Average", "led2Buffer", "led2Sample", "location", "deviceSerialNumber", "name", "testTime", "classificationResult", "resultData"]]
df = df[["_id", "calculatedRatio", "deviceId", "deviceRatio", "kitSerial", "led1Average", "led1Buffer", "led1Sample", "led2Average", "led2Buffer", "led2Sample", "deviceSerialNumber", "name", "testTime", "classificationResult", "resultData"]]
# 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)