37 lines
1.9 KiB
Python
37 lines
1.9 KiB
Python
import pandas as pd
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import os
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import numpy as np
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curdir = os.getcwd()
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path_delim = '/'
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df1 = pd.read_csv(curdir + path_delim + "data/all_users_14_07_2023_to_12_09_2023.csv")
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df2 = pd.read_csv(curdir + path_delim + "data/tests_14_07_2023_to_12_09_2023.csv")
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df3 = pd.read_excel(curdir + path_delim + "data/diff_check.xlsx", sheet_name="Sheet3")
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# df3 = pd.read_excel(curdir + path_delim + "data/July_Sept3 copy.xlsx", sheet_name="op")
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print(df2)
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df = df1.merge(df2, on="_id")
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master_df = df
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### merging July
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df = df3.merge(master_df, on="_id")
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print(df.columns)
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# df = pd.concat([df1, df3], ignore_index=True)
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df = df[["_id", "name_x", "abhaId_x", "aadharId", "Age", "gender_x", "Category", "maritalStatus", "house", "district", "state_x", "pinCode", "phoneNumber", "Test Result", "bloodGroup", "Created Dates", "caste"]]
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# print(df.columns)
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df.rename(columns={'_id': "Sample ID", "name": "Name", "abhaId_x": "ABHA ID", "aadharId": "Aadhaar ID", "gender_x": "Gender", "Category": "Category", "maritalStatus": "Marital Status", "house": "Address", "district": "District", "state_x": "State", "pinCode": "Pincode", "phoneNumber": "Mobile Number", "Created Dates": "Test Date", "Test Result": "Test Result", "bloodGroup": "Blood Group", "Age_x": "Age", "name_x": "Name", "caste": "Caste"}, inplace = True)
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df = df.reindex(["Sample ID", "Name", "ABHA ID", "Aadhaar ID", "Age", "Gender", "Caste", "Category", "Marital Status", "Address", "District", "State", "Pincode", "Mobile Number", "Test Date", "Test Result", "Blood Group"], axis=1)
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df['Test Date'] = pd.to_datetime(df["Test Date"].dt.strftime('%d-%m-%Y'))
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df.loc[df['Test Result'] == np.nan, 'Test Result'] = 'Retest'
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# df.loc[df['Test Result'] == "Inconclusive", 'Test Result'] = 'Retest'
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print(df)
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writer = pd.ExcelWriter(curdir + path_delim + "data/July_Sept3.xlsx", engine = 'openpyxl')
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df.to_excel(writer, sheet_name = 'op', index=False)
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writer.close()
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