Python学习笔记13—错误和异常

常见的异常:

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" alt="" />

处理单个异常

#!/usr/bin/env Python
# coding=utf-8
class Calculator(object):
is_raise = False
def calc(self, express):
try:
return eval(express)
except ZeroDivisionError:
if self.is_raise:
print "zero can not be division."
else:
raise                #作为单独一个语句。它的含义是将异常信息抛出
if __name__ == "__main__":
c = Calculator()
c.is_raise = True
print c.calc("8/0")

运行结果:

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处理多个异常

#!/usr/bin/env Python
# coding=utf-8
while 1:
print "this is a division program."
c = raw_input("input 'c' continue, otherwise logout:")
if c == 'c':
a = raw_input("first number:")
b = raw_input("second number:")
try:
print float(a)/float(b)
print "*************************"
except ZeroDivisionError:
print "The second number can't be zero!"
print "*************************"
except ValueError:
print "please input number."
print "************************"
else:
break

可以加一个else语句

#!/usr/bin/env Python
# coding=utf-8
while 1:
try:
x = raw_input("the first number:")
y = raw_input("the second number:")
r = float(x)/float(y)
print r
except Exception, e:
print e
print "try again."
else:
break

这样执行如果没有异常就退出

也可以在最后添加一个finally语句,综合起来异常表达式:

try:
do something
except:
do something
else:
do something
finally
do something
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