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