25 lines
858 B
Python
25 lines
858 B
Python
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import pandas as pd
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import os
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import numpy as np
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import matplotlib.pyplot as plt
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curdir = os.getcwd()
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path_delim = '/'
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df = pd.read_excel(curdir + path_delim + "data/tests_03_01_2024_14_41.xlsx", sheet_name="data")
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print(df.columns)
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df['deviceId'].hist()
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# plt.show()
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print(df)
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df_final = df.sort_values('testTime').drop_duplicates('_id', keep='last')
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print(df_final)
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print(df_final.groupby(["classificationResult"]).describe()["calculatedRatio"]["count"])
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writer = pd.ExcelWriter(curdir + path_delim + "data/test_stats03.xlsx", engine = 'openpyxl')
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df_final.to_excel(writer, sheet_name = 'op', index=False)
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df_final.groupby(["classificationResult"]).describe()["calculatedRatio"]["count"].to_excel(writer, sheet_name = "hc_count")
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df_final.groupby(["result"]).describe()["resultRatio"]["count"].to_excel(writer, sheet_name = "tr_count")
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writer.close()
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