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This is a better name for the module because it’s: - not just constants, there’s a method in here now - only stuff to do with populations, not other kinds of constants
63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
import math
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SMARTPHONE_OWNERSHIP_BY_AGE_RANGE = {
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# If no children have a phone when they’re born but 100% of
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# children have a phone by age 16 then 50% is a rough
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# approximation of how many children have phones
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(0, 15): 0.50,
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# https://www.finder.com/uk/mobile-internet-statistics
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(16, 24): 1.00,
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(25, 34): 0.97,
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(35, 44): 0.91,
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(45, 54): 0.88,
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(55, 64): 0.73,
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(65, math.inf): 0.40,
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}
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MEDIAN_AGE_UK = 40
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for min, max in SMARTPHONE_OWNERSHIP_BY_AGE_RANGE.keys():
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if min <= MEDIAN_AGE_UK <= max:
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MEDIAN_AGE_RANGE_UK = (min, max)
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class CITY_OF_LONDON:
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WARDS = (
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'E05009288', 'E05009289', 'E05009290', 'E05009291', 'E05009292',
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'E05009293', 'E05009294', 'E05009295', 'E05009296', 'E05009297',
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'E05009298', 'E05009299', 'E05009300', 'E05009301', 'E05009302',
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'E05009303', 'E05009304', 'E05009305', 'E05009306', 'E05009307',
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'E05009308', 'E05009309', 'E05009310', 'E05009311', 'E05009312',
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)
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# https://data.london.gov.uk/blog/daytime-population-of-london-2014/
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DAYTIME_POPULATION = 553_000
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# Approx area of the polygons we’re storing, not the actual area
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AREA_SQUARE_MILES = 1.78
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class BRYHER:
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WD20_CODE = 'E05011090'
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POPULATION = 84
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def estimate_number_of_smartphones_for_population(population):
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smartphone_ownership_for_area_by_age_range = {}
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for range, ownership in SMARTPHONE_OWNERSHIP_BY_AGE_RANGE.items():
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min, max = range
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smartphone_ownership_for_area_by_age_range[range] = sum(
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people
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for age, people in population
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if min <= age <= max
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) * ownership
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total_population = sum(dict(population).values())
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total_phones = sum(smartphone_ownership_for_area_by_age_range.values())
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print( # noqa: T001
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f' Population:{total_population: 11,.0f}'
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f' Phones:{total_phones: 11,.0f}'
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)
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return total_phones
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