tests per center

scripts/tests_per_center.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/users_06_10_2023_22_25.xlsx", sheet_name="Sheet1")
+
+# df.plot(kind = 'scatter', x = 'testTime', y = 'calculatedRatio')
+# plt.show()
+
+print(df.columns)
+
+# df = df[(df["testStatus"] == True) and (~df["incubationTime"].isnan())]
+print("tests count:", df.shape)
+
+
+print(df.groupby(["registrationCenterName"]).describe())
+
+df_count = df.groupby(["registrationCenterName"]).describe()["birthYear"]["count"]
+print(df.groupby(["registrationCenterName"]).describe()["birthYear"]["count"])
+
+writer = pd.ExcelWriter(curdir + path_delim + "data/test_per_center1.xlsx", engine = 'openpyxl')
+df_count.to_excel(writer, sheet_name = "count")
+writer.close()