Reputation: 117
I'm running a population model, and the wrong numbers always come out because I'm setting the variables to new values, but then when I want to use the old variables, the loop automatically updates itself and uses the new ones.
juvenile_population = 10
adult_population = 10
senile_population = 1
juvenile_survival = 1
adult_survival = 1
senile_survival = 0
birth_rate = 2
generations = 5
counter = 0
while counter < generations:
juvenile_population = adult_population * birth_rate
adult_population = juvenile_population * juvenile_survival
senile_population = (adult_population * adult_survival) (senile_population * senile_survival)
total_population = juvenile_population + adult_population + senile_population
print("Juvenile: ",juvenile_population)
print("Adult: ",adult_population)
print("Senile: ",senile_population)
print("Total: ",total_population)
counter += 1
A friend said to set new named variables, but then after one loop, won't you get the same problem again? I want the variables to update, but only after they've been printed, if that makes sense. Any suggestions?
Upvotes: 1
Views: 543
Reputation: 4559
Per @Selcuk, you could use variable unpacking directly, but even with nicer formatting it looks unwieldly:
juvenile_population, adult_population, senile_population, total_population = (adult_population * birth_rate,
juvenile_population * juvenile_survival,
(adult_population * adult_survival) (senile_population * senile_survival),
juvenile_population + adult_population + senile_population)
My suggestion would be to either write a helper function, and keep "like" values in a dictionary like so:
populations = {'juvenile': 10,
'adult': 10,
'senile': 1
}
survivals = {'juvenile': 1,
'adult': 1,
'senile': 0}
birth_rate = 2
generations = 5
def update_population(pops):
juvie = pops['adult'] * birth_rate
adults = pops['juvenile'] * survivals['juvenile']
seniles = pops['adult'] * survivals['adult'] + (pops['senile'] * survivals['senile'])
return {k:v for k,v in zip(['juvenile','adult','senile'],[juvie,adults,seniles])}
counter = 0
while counter < generations:
populations = update_population(populations.copy())
total_population = sum(populations.values())
print("Juvenile: ",populations['juvenile'])
print("Adult: ",populations['adult'])
print("Senile: ",populations['senile'])
print("Total: ",total_population)
counter += 1
Upvotes: 0
Reputation: 59184
You are overwriting the existing values with new values. With Python you can merge all four lines into one like this:
juvenile_population, adult_population, senile_population, total_population = adult_population * birth_rate, juvenile_population * juvenile_survival, (adult_population * adult_survival) (senile_population * senile_survival), juvenile_population + adult_population + senile_population
This will assign all the values at once, without overwriting them first.
Upvotes: 1