A = 300
Delta = 0.01
p0 = 100
ev0 = 0
dev = 0.001
dp0 = A*p0*dev
p = []
dp = []
ev = []
class Nonlinear():
def __init__(self):
self.p, self.dp, self.ev = p0, 0, ev0-dev
def __iter__(self):
return self
def __next__(self):
self.dp, self.p, self.ev = A*(self.p+self.dp)*dev, self.p + self.dp, self.ev+dev
p.append(self.p)
dp.append(self.dp)
if self.p > 1500:
raise StopIteration()
return p
for n in Nonlinear():
print(n)
The above are all the codes I use as an replacement of Excel in iteration. The results always provide me with all the iterative lists rather than the last that I need. I wonder:
I use Python 3.8. If you have any ideas about solving the issue. Please let me know.
I think this does what you want:
class Nonlinear():
def __init__(self, p0 = 100, dp0 = 0, A = 300, dev = 0.001, maxval = 1500):
self.p = p0
self.dp = dp0
self.A = A
self.dev = dev
self.maxval = maxval
def __iter__(self):
while self.p + self.dp <= self.maxval:
self.p += self.dp
self.dp = self.A * (self.p + self.dp) * self.dev
yield self.p
n = Nonlinear()
print(*n)
# 100 130.0 178.0 245.8 339.88 470.068 650.1448 899.21128 1243.694608
Or
n = [_ for _ in Nonlinear()]
# [100, 130.0, 178.0, 245.8, 339.88, 470.068, 650.1448, 899.21128, 1243.694608]
You could also write as a generator:
def nonlinear(p = 100, dp = 0, A = 300, dev = 0.001, maxval = 1500):
Adev = A * dev
while(p + dp <= maxval):
p += dp
dp = Adev * (p + dp)
yield p
As a note, be careful how you define your variables. Entering them line by line as I've done above gives different answers for p
than having them listed in one line the way you have.
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