Print data
Dependencies
- [2]
JGCJ2CQPRefactor time-series code - [3]
7ZN6HHL2Extract relevant census data - [4]
FCHAPZLDImplement simpler file merging function - [5]
2AE4VE7UAdd support for 2001 census - [6]
QDEBWR2RAdd missing state time series data - [7]
QU7MDQEDAdd basic support for 1996 census data - [8]
NMT3JJPPAdd function to find median - [9]
4YKXEBAVReduce inconsistencies between 1996 and 2001 objects
Change contents
- edit in project.py at line 153
# Make sure we are always increasingassert max_rent > min_rentassert max_income > min_income - replacement in project.py at line 353
income = category[1]income = category[0] - replacement in project.py at line 369
rent = category[0]rent = category[1] - edit in project.py at line 505
# print(Census1996().median_incomes())# print(Census1996().median_rents())# print(Census2001().median_incomes())# print(Census2001().median_rents()) - edit in project.py at line 506
# census = Census2001().median_incomes()# for key in census:# print(f"{key},{census[key]}") - replacement in project.py at line 507
# print(find_median(census))census_years = [Census1996(),Census2001(),] - edit in project.py at line 512
# print(merge_files(STATE_TIME_SERIES)[0]) - replacement in project.py at line 513[2.5515]→[2.5515:5564](∅→∅),[3.498]→[3.7984:7988](∅→∅),[3.1070]→[3.7984:7988](∅→∅),[3.1964]→[3.7984:7988](∅→∅),[3.2089]→[3.7984:7988](∅→∅),[3.4020]→[3.7984:7988](∅→∅),[2.5564]→[3.7984:7988](∅→∅),[3.6069]→[3.7984:7988](∅→∅),[3.7984]→[3.7984:7988](∅→∅)
print(time_series.get_year(2011).median_rents())"""census_years.append(time_series.get_year(2011))census_years.append(time_series.get_year(2016))census_years.append(time_series.get_year(2021)) - replacement in project.py at line 517
# Just for checkingfor category in range(len(categories)):print(f"{categories[category]}:")for _index, (year, states) in enumerate(years.items()):for _index, (state, data) in enumerate(states.items()):print(f" {state}: {year}: first: {data[0]}, last: {data[-1]}")"""[3.7989]for census_year in census_years:median_income = find_median(census_year.median_incomes())median_rent = find_median(census_year.median_rents())print(median_income, median_rent, round(median_rent / median_income * 100))