From 64b0d7f9538b31235bee0d8070df90184a7d6aa1 Mon Sep 17 00:00:00 2001 From: Pritimay Sarkar Date: Sat, 11 Nov 2023 16:04:30 +0530 Subject: [PATCH] recombine 20 oct file --- scripts/combine26.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/scripts/combine26.py b/scripts/combine26.py index 086cb12..2ff3b62 100644 --- a/scripts/combine26.py +++ b/scripts/combine26.py @@ -5,7 +5,7 @@ import matplotlib.pyplot as plt curdir = os.getcwd() path_delim = '/' -df1 = pd.read_excel(curdir + path_delim + "data/users_20_10_2023_18_03.xlsx", sheet_name="Sheet1") +df1 = pd.read_excel(curdir + path_delim + "data/users_21_10_2023_11_27.xlsx", sheet_name="Sheet1") df2 = pd.read_excel(curdir + path_delim + "data/20 oct 2023 final results.xlsx", sheet_name="data") df2 = df2.sort_values('testTime') @@ -49,10 +49,10 @@ plt.show() # df['category'].plot.pie() # plt.show() -df = df[["_id", "name_x", "abhaId", "aadharId", "Age", "gender", "category", "maritalStatus", "house", "district", "state", "pinCode", "phoneNumber", "classificationResult", "bloodGroup", "createdAt", "caste", "registrationCenterName"]] +df = df[["_id", "name_x", "abhaId", "aadharId", "Age", "gender", "category", "maritalStatus", "house", "district", "state", "pinCode", "phoneNumber", "classificationResult", "bloodGroup", "testTime", "caste", "registrationCenterName"]] print(df) -df.rename(columns={'_id': "Sample ID", "name_x": "Name", "abhaId": "ABHA ID", "aadharId": "Aadhaar ID", "gender": "Gender", "category": "Category", "maritalStatus": "Marital Status", "house": "Address", "district": "District", "state": "State", "pinCode": "Pincode", "phoneNumber": "Mobile Number", "createdAt": "Date", "classificationResult": "Test Result", "bloodGroup": "Blood Group", "Age": "Age", "caste": "Caste", "registrationCenterName": "Center"}, inplace = True) +df.rename(columns={'_id': "Sample ID", "name_x": "Name", "abhaId": "ABHA ID", "aadharId": "Aadhaar ID", "gender": "Gender", "category": "Category", "maritalStatus": "Marital Status", "house": "Address", "district": "District", "state": "State", "pinCode": "Pincode", "phoneNumber": "Mobile Number", "testTime": "Date", "classificationResult": "Test Result", "bloodGroup": "Blood Group", "Age": "Age", "caste": "Caste", "registrationCenterName": "Center"}, inplace = True) df = df.reindex(["Sample ID", "Name", "ABHA ID", "Aadhaar ID", "Age", "Gender", "Caste", "Category", "Marital Status", "Address", "District", "State", "Pincode", "Mobile Number", "Date", "Test Result", "Blood Group", "Center"], axis=1) # df['Date'] = pd.to_datetime(df["Date"].dt.strftime('%d-%m-%Y'))