testing stats

scripts/testing_stats.py

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