我正在尝试编写一个函数，它将使我从一种状态进入下一种状态，直到达到最终状态。当我用：
运行它时new_location = change_location（）
下一个（新位置）
第一次迭代有效，但是一旦进入while循环，它就永远不会离开第一个if子句，并且也与先前的位置没有任何联系。我正在尝试从一种状态迁移到另一种状态，其中状态为e（仅在开始时出现一次），da，dr，f，s和ch（和ex）（仅出现在末尾！）。它们遵循的路径始终以“至”分隔。
我还尝试过在每个子句后添加yield语句，但是仍然没有遵循所需的模式。 p是将采用每条到达下一个位置的路径的概率权重。
import numpy as np
def change_location():
location = np.random.choice(['etof', 'etoda', 'etos', 'etodr'],
p =[0.377435, 0.287576, 0.181463, 0.153526])
yield location
while True:
print(location)
if location == 'etoda' or 'datoda' or 'drtoda'or 'ftoda' or 'stoda':
location = np.random.choice(a=['datoch', 'datoda', 'datodr', 'datof', 'datos'],
p =[0.100000,0.740000,0.060000,0.050000,0.050000])
elif location == 'etodr' or 'drtodr' or 'datodr' or 'ftodr' or 'stodr':
location = np.random.choice(a=['drtoch', 'drtoda', 'drtodr','drtof', 'drtos'],
p =[0.215710, 0.010899, 0.598499, 0.087909,0.086983])
elif location == 'etof' or 'datof' or 'drtof' or 'ftof' or 'stof':
location = np.random.choice(a=['ftoch', 'ftoda', 'ftodr', 'ftof', 'ftos'],
p =[0.201605,0.095924,0.054847,0.596947,0.050677])
elif location == 'etos' or 'datos' or 'drtos' or 'ftos' or 'stos':
location = np.random.choice(a=['stoch', 'stoda', 'stodr', 'stof', 'stos'],
p =[0.150685,0.193214,0.163109,0.090953,0.402039])
else:
location = 'chtoex'
break
yield location
第一件事当然是注释中指出的错误。我还想指出，每当您看到包含多个if：s和elif：s的代码，并且都重复一个模式时，很难发现并纠正错误。有更好的方法。
分别构造数据，并使用for和else保持代码精简。
import numpy as np
location_mappings = [
{
'from': [None],
'to': ['etof', 'etoda', 'etos', 'etodr'],
'p': [0.377435, 0.287576, 0.181463, 0.153526],
},
{
'from': ['etoda', 'datoda', 'drtoda', 'ftoda', 'stoda'],
'to': ['datoch', 'datoda', 'datodr', 'datof', 'datos'],
'p': [0.100000,0.740000,0.060000,0.050000,0.050000],
},
{
'from': ['etodr', 'drtodr', 'datodr', 'ftodr', 'stodr'],
'to': ['drtoch', 'drtoda', 'drtodr','drtof', 'drtos'],
'p': [0.215710, 0.010899, 0.598499, 0.087909,0.086983],
},
{
'from': ['etof', 'datof', 'drtof', 'ftof', 'stof'],
'to': ['ftoch', 'ftoda', 'ftodr', 'ftof', 'ftos'],
'p': [0.201605,0.095924,0.054847,0.596947,0.050677],
},
{
'from': ['etos', 'datos', 'drtos', 'ftos', 'stos'],
'to': ['stoch', 'stoda', 'stodr', 'stof', 'stos'],
'p': [0.150685,0.193214,0.163109,0.090953,0.402039],
},
]
end_location = 'chtoex'
def change_location():
location = None
while location != end_location:
for mapping in location_mappings:
if location in mapping['from']:
location = np.random.choice(mapping['to'], p=mapping['p'])
break
else: # If break was not called
location = end_location
yield location