def set_mortality(self, data):
print("Fitting mortality distribution")
mortality_data = list(data.values())
r = []
for i in range(len(mortality_data)):
deaths = mortality_data[i]
for _ in range(deaths):
r.append(i)
dist = Distribution()
dist.Fit(r)
self.mortality_distribution = dist
def set_migrations(self, data):
print("Fitting migration distribution")
r = []
for i in range(len(data)):
num = data[i]
for _ in range(num):
r.append(i)
dist = Distribution()
dist.min_val = 0
dist.max_val = len(data) - 1
dist.Fit(r)
self.migrations_distribution = dist
def set_natality(self, data):
print("Fitting natality distribution")
data.pop('total_births', None)
r = []
for i in range(len(data)):
key = list(data.keys())[i]
num = int(data[key])
for _ in range(num):
r.append(i)
dist = Distribution()
dist.Fit(r)
self.natality_distribution = dist