remove device type and location, add counts
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@@ -52,7 +52,10 @@ df = pd.DataFrame(data)
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print(df)
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print(df.size)
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df = df[["_id", "classificationResult", "calculatedRatio", "deviceId", "deviceRatio", "deviceType", "kitSerial", "led1Average", "led1Buffer", "led1Sample", "led2Average", "led2Buffer", "led2Sample", "location", "deviceSerialNumber", "name", "testTime", "resultData"]]
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df = df[["_id", "classificationResult", "calculatedRatio", "deviceId", "deviceRatio", "kitSerial", "led1Average", "led1Buffer", "led1Sample", "led2Average", "led2Buffer", "led2Sample", "deviceSerialNumber", "name", "testTime"]]
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# df = df.groupby(["classificationResult"]).describe()
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df_count = df.groupby(["classificationResult"]).describe()["calculatedRatio"]["count"]
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print(df.groupby(["classificationResult"]).describe()["calculatedRatio"]["count"])
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# Save the DataFrame to a CSV file
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output_filename = f'tests_{datetime.today().strftime("%d_%m_%Y_%H_%M")}.xlsx'
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@@ -61,6 +64,7 @@ downloads_dir = os.path.join(os.path.expanduser("~"), "Downloads")
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output_path = os.path.join(downloads_dir, output_filename)
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writer = pd.ExcelWriter(output_path, engine = 'openpyxl')
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df.to_excel(writer, sheet_name = 'data', index=False)
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df_count.to_excel(writer, sheet_name = "count")
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writer.close()
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print(f"Data saved to '{output_path}'")
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