Upload data_pre-processing.py

data_pre-processing.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Mon Mar  4 09:26:03 2024
+
+@author: Bethany
+"""
+
+import pandas as pd 
+
+# import data
+totals_data = pd.read_csv("https://files.digital.nhs.uk/22/D11E7E/HES_M9_2324_OPEN_DATA.csv")
+age_groups_data = pd.read_csv("https://files.digital.nhs.uk/D3/2CB1B4/HES_M9_2324_OPEN_DATA_AGE_GROUPS.csv")
+specialties_data = pd.read_csv("https://files.digital.nhs.uk/F2/461394/HES_M9_2324_OPEN_DATA_TREATMENT_SPECIALTY.csv")
+
+# change column names on totals_data to match other files
+totals_data = totals_data.rename(columns = {"APC_Finished_Consultant":"FCE", 
+                                            "APC_FCEs_with_a_procedure":"FCEs_With_Procedure",
+                                            "APC_Ordinary_Episodes":"Ordinary_Admission_Episodes",
+                                            "APC_Day_Case_Episodes":"FCE_DAY_CASES",
+                                            "APC_Day_Case_Episodes_with_proc":"FCE_DAY_WITH_PROCEDURE",
+                                            "APC_Finished_Admission_Episodes":"FAE",
+                                            "APC_Emergency":"EMERGENCY",
+                                            "Outpatient_Total_Appointments":"Total_Appointments",
+                                            "Outpatient_Attended_Appointments":"Attended_Appointments",
+                                            "Outpatient_DNA_Appointment":"DNA_Appointments",
+                                            "Outpatient_Attendance_Type_1":"First_Attendance",
+                                            "Outpatient_Attendance_Type_2":"Follow_Up_Attendance"}
+                                 )
+
+# initialise empty dictionary
+HES_data= {"months":[]}
+# loop through previous dicts for all months 
+for month in totals_data["CALENDAR_MONTH_END_DATE"][:69]:
+    month_dict = {}
+    month_dict.update({"month":list(totals_data["CALENDAR_MONTH_END_DATE"])[list(totals_data["CALENDAR_MONTH_END_DATE"]).index(month)]})
+    month_dict.update({c:{} for c in age_groups_data.columns[5:]})
+
+    for key in list(month_dict.keys())[1:]:
+        # fill in sub-dictionaries with values from the three different csvs
+        month_dict[key].update({"total":totals_data[key][0],
+                           "age_bands":[],
+                           "specialties":[]})
+        
+        for age in list(age_groups_data["Age_Band"].unique()):
+            age_bands = {"age_band":age,
+                          key:age_groups_data[key][list(age_groups_data["Age_Band"].unique()).index(age)]}
+            month_dict[key]["age_bands"].append(age_bands)
+        
+        for spec in list(specialties_data["TRETSPEF"].unique()):
+            specialties = {"treatment_specialty_code":spec,
+                           "treatement_specialty_description":list(specialties_data["TRETSPEF_DESCRIPTION"].unique())[list(specialties_data["TRETSPEF"].unique()).index(spec)],
+                           key:specialties_data[key][list(specialties_data["TRETSPEF"].unique()).index(spec)]}
+            month_dict[key]["specialties"].append(specialties)
+
+    HES_data["months"].append(month_dict)