From b6c763780b01f37ea190ead1a993ff8325cc6ad7 Mon Sep 17 00:00:00 2001 From: Pritimay Sarkar Date: Mon, 19 Feb 2024 20:50:42 +0530 Subject: [PATCH] fix column name for data download --- scripts/consolidated_data.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/consolidated_data.py b/scripts/consolidated_data.py index d759b83..c0f9cbc 100644 --- a/scripts/consolidated_data.py +++ b/scripts/consolidated_data.py @@ -93,7 +93,7 @@ if __name__ == "__main__": df = df[(df['testTime'] > start_date) & (df['testTime'] <= end_date)] df = df.sort_values(by=['testTime'], ascending=False) - column_names = ["_id", "classificationResult", "deviceRatioClass", "prdClassification", "slopeRatioClass", "predictedDenovixRatio", "slopeRatio", "calculatedRatio", "deviceRatio", "kitSerial", "led1Gain1", "led1Gain2", "led1Gain4", "abs1", "led1Average", "led1Buffer", "led1Sample", "led2Gain1", "led2Gain2", "led2Gain4", "abs2", "led2Average", "led2Buffer", "led2Sample", "led3Gain1", "led3Gain2", "led3Gain4", "hb3", "abs3", "led3Average", "led3Buffer", "led3Sample", "led4Gain1", "led4Gain2", "led4Gain4", "hb4", "abs4", "led4Average", "led4Average", "led4Buffer", "led4Sample", "batteryLevel", "batteryVoltage", "solution", "concentration", "volume", "errorMessages", "deviceId", "deviceSerialNumber", "appVersion", "name_y", "testTime"] + column_names = ["_id", "classificationResult", "deviceRatioClass", "prdClassification", "slopeRatioClass", "predictedDenovixRatio", "slopeRatio", "calculatedRatio", "deviceRatio", "kitSerial", "led1Gain1", "led1Gain2", "led1Gain4", "abs1", "led1Average", "led1Buffer", "led1Sample", "led2Gain1", "led2Gain2", "led2Gain4", "abs2", "led2Average", "led2Buffer", "led2Sample", "led3Gain1", "led3Gain2", "led3Gain4", "hb3", "abs3", "led3Average", "led3Buffer", "led3Sample", "led4Gain1", "led4Gain2", "led4Gain4", "hb4", "abs4", "led4Average", "led4Buffer", "led4Sample", "batteryLevel", "batteryVoltage", "solution", "concentration", "volume", "errorMessages", "deviceId", "deviceSerialNumber", "appVersion", "name", "testTime"] common_columns = [col for col in column_names if col in df.columns] df = df[common_columns]