Hi All,
I am new to python and have a number of csv files and am trying to get the count of people who have died and suffered a fall or died and not suffered a fall. I also am trying to work out the average age people lived with each of the above conditions but am having issues tweaking a function. The function in the code below is def is65, I have underlined the relevant aspects below. The function currently subtracts DOB from current date to work out the age, what I am trying to do is to subtract the DOB from the DOD instead. The DOD is from a csv file named DEATHREG (I have also bolded and underlined), problem is no matter how I try to reference the DOD in def is65 it does not work. Any help will be welcome
I am new to python and have a number of csv files and am trying to get the count of people who have died and suffered a fall or died and not suffered a fall. I also am trying to work out the average age people lived with each of the above conditions but am having issues tweaking a function. The function in the code below is def is65, I have underlined the relevant aspects below. The function currently subtracts DOB from current date to work out the age, what I am trying to do is to subtract the DOB from the DOD instead. The DOD is from a csv file named DEATHREG (I have also bolded and underlined), problem is no matter how I try to reference the DOD in def is65 it does not work. Any help will be welcome
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import csvfrom datetime import datetimedef get_years(delta_in): """Get years from timedelta""" return delta_in.days / 365.25class PersonData(object): def __init__(self, dem_data): """Initialize person data with dictionary of demographic data from GP_DEM.csv :param dem_data: dict """ self.data = dict() # clinical events self.clin = [] # hospital events self.hosp = [] self.list_names = {'GP_CLIN': self.clin, 'HOSPDAT': self.hosp} # initialize data with dictionary provided self.add_data(dem_data) # first fall event will be written here self.first_fall_event = None def is65(self): """Return True if the person is older than 65 years""" return get_years(cur_datetime - all_persons[patid].data['DOB']) > 65 def get_first_fall_event_date(self): """Get datetime of the first fall event if exists""" if self.first_fall_event: return self.first_fall_event fall_events = [] # iterate through all events for hosp_event in self.hosp: # check for event code event_code = hosp_event['EVENT_CODE'] if event_code[:3] in fall_event_codes: # if fall event, append to the temporary list of fall events fall_events.append(hosp_event['EVENT_DATE']) if fall_events: # if found: # first date of fall events first_event = sorted(fall_events)[0] self.first_fall_event = first_event return first_event # if not found: return False def add_data(self, data_dict, keys_to_add=None, list_name=''): """Add data to this object's dataset""" # check for necessary keys to add if keys_to_add: new_data = {key: value for key, value in data_dict.items() if key in keys_to_add} else: new_data = data_dict # converting date to datetime format for date_code in ['EVENT_DATE', 'DOB', 'DOD']: if date_code in new_data: new_data[date_code] = datetime.strptime(new_data[date_code], '%Y-%m-%d %H:%M:%S') # if data should go to the list: if list_name: if list_name in self.list_names: self.list_names[list_name].append(new_data) # if data goings to the dictionary else: self.data.update(new_data)def add_data_from_csv(file_name, keys_to_add=None, list_name=''): """Add data from certain csv file to all_persons dictionary :param file_name: str :param keys_to_add: list :param list_name: str """ global all_persons with open(file_name) as input_file: input_csv = csv.DictReader(input_file, delimiter=',') # iterating through all lines in csv file for line in input_csv: patid = get_patid(line['PATID']) if patid in all_persons: all_persons[patid].add_data(line, keys_to_add=keys_to_add, list_name=list_name) else: # if PATID not found, do nothing passwith open('GP_DEM.csv') as input_file: input_csv = csv.DictReader(input_file, delimiter=',') # all persons data dictionary {PATID1: PersonData1, ...} all_persons = {line['PATID']: PersonData(line) for line in input_csv}add_data_from_csv('DEATHREG.csv', ['DOD', 'CAUSE'])add_data_from_csv('GP_CLIN.csv', ['GPID', 'EVENT_DATE', 'EVENT_CODE', 'EVENT_DATA'], list_name='GP_CLIN')add_data_from_csv('HOSPDAT.csv', ['HOSPID', 'EVENT_DATE', 'EVENT_CODE'], list_name='HOSPDAT')# {PATID: [years before first fall event, years after the first}patid_years = dict()for patid in all_persons: person = all_persons[patid] # use only persons with ages > 65 years if not person.is65(): continue # get first fall event date-time first_event = person.get_first_fall_event_date() # if no fall events, use other persons if not first_event: continue # if person died if 'DOD' in person.data: years_after = get_years(person.data['DOD'] - first_event) else: # if not died, use current date years_after = get_years(cur_datetime - first_event) # get years before the first fall event years_before = get_years(first_event - person.data['DOB']) # {PATID: [years before first fall event, years after the first} patid_years[patid] = [years_before, years_after]print('2)a) Counting how many persons:')no_falls = 0with_falls = 0# iterate through all personsfor patid in all_persons: person = all_persons[patid] # check if person is 65 years old, if died, and without fall events if person.is65() and ('DOD' in person.data): if not person.get_first_fall_event_date(): no_falls += 1 else: with_falls += 1print('i. The person is over the age of 65 years old, has died and DID NOT suffer a fall event:')print(no_falls)print('ii. The person is over the age of 65 years old, has died and HAS suffer at least one fall event in their life:')print(with_falls) |
