GW女朋友 发表于 2020-12-17 21:30:03

我加了while循环之后,if后面的print打印不出来,代码和结果如下

data:image/png;base64,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data:image/png;base64,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
print('赵依婷')
temp=input('猜一猜')
guess=int(temp)
while guess != 2018:
    if guess==2018:
      print('猜对了')
      print('厉害')
    else:
      if guess>2018:
            print('大了')
      else:
            print('小了')
    temp=input('再猜')
    guess=int(temp)
print('结束了')





GW女朋友 发表于 2020-12-17 21:31:45

C:\在用

小伤口 发表于 2020-12-17 21:34:18

本帖最后由 小伤口 于 2020-12-20 16:21 编辑

你的循环时guess != 2018:
自然不会打印
print('赵依婷')

while 1:
   
    temp=input('猜一猜')
    guess=int(temp)
    if guess==2018:
      print('猜对了')
      print('厉害')
      print('结束了')
      break
    else:
      if guess>2018:
            print('大了')
      else:
            print('小了')
   

昨非 发表于 2020-12-17 21:34:30

那肯定打印不出来啊

如果答案是2018,就进不去你的循环
进去了循环,答案肯定不是2018,你这逻辑,就离谱

昨非 发表于 2020-12-17 21:37:27

print('赵依婷')
temp=input('猜一猜')
guess=int(temp)
while guess != 2018:
    if guess>2018:
      print('大了')
    else:
      print('小了')
    temp=input('再猜')
    guess=int(temp)

else:      #把猜对的条件写到while后面,就是在进不去循环的时候打印猜对了就行
    print('猜对了')
    print('厉害')
print('结束了')

小伤口 发表于 2020-12-17 21:45:09

楼主这名字不对劲(手动滑稽)

逃兵 发表于 2020-12-18 08:21:10

小伤口 发表于 2020-12-17 21:34
你的循环时guess != 2018:
自然不会打印

这个死循环是我没想到的

小伤口 发表于 2020-12-18 11:06:36

楼主出错了,我改回来了,你看看{:10_266:}

小伤口 发表于 2020-12-18 11:07:11

逃兵 发表于 2020-12-18 08:21
这个死循环是我没想到的

嗯,吓我一跳,谢谢{:10_250:}

GW女朋友 发表于 2020-12-20 16:18:30

小伤口 发表于 2020-12-17 21:34
你的循环时guess != 2018:
自然不会打印

请问这个while 1,这个1是有特殊含义,还是随便一个数字都可以啊,为什么while 1,程序可以判断不是2018时执行while啊,谢谢

小伤口 发表于 2020-12-20 16:24:59

GW女朋友 发表于 2020-12-20 16:18
请问这个while 1,这个1是有特殊含义,还是随便一个数字都可以啊,为什么while 1,程序可以判断不是2018 ...

1数字

像while 1, while 2, while -1, while -2, while x, 只要x不等于0, 就是条件永远为真, 等价于while True

while 0 等价于 while False

2其他变量,如字符串, 列表shu, 元组等

while '1', while , while (1, 2), while x, 只要len(x)>0, 就是条件永远为真, 等价于while True

while '', while [], while (), while x, 只要len(x)=0, 就是条件永远不为真, 等价于 while False

GW女朋友 发表于 2020-12-20 16:29:38

小伤口 发表于 2020-12-20 16:24
1数字

像while 1, while 2, while -1, while -2, while x, 只要x不等于0, 就是条件永远为真, 等价于wh ...

知道了,谢谢{:5_109:}
页: [1]
查看完整版本: 我加了while循环之后,if后面的print打印不出来,代码和结果如下