Python笔记6(异常)-20160924
1. NameError
当视图访问一个未定义的变量则会发生NameError。
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2.TypeError
当操作或函数应用于不适当类型的对象是会发生TypeError。
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3.处理异常
使用try...except块来处理任意异常。基本语法如下:
try:
语句1
语句2
语句3
...
except ExceptionName:
statements to evaluated in case of ExceptionName happens
工作方式:
- 首先,执行try子句(在try和except关键字之间的部分)
- 如果没有异常发生,except子句在try语句执行完毕后就被忽略
- 如果try子句执行过程中发生了异常,那么该子句其余的部分就会被忽略,如果异常匹配于
except关键字后面指定的异常类型,就执行对应的except子句,然后继续执行try语句之后的代码 - 如果发生了一个异常,在except子句中没有与之匹配的分支,它就会传递到上一级try语句中。如果最终仍找不到对应的处理语句,它就成为一个未处理异常,终止程序运行,显示提示信息。
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" alt="" />
4.抛出异常
使用raise语句抛出异常。
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAWcAAABTCAIAAADMRlHVAAAN9klEQVR4nO2dPZLkLAyGORcH4gpzDdKNO5iqOQBVk2zcnX3BdORwog0mmQvoC7CxAAkjt92/empra5emAQt4LTBWGwD4+u/49d/xz58/oCiKsoQBVQ1FUSSoaiiKIkNVQ1EUGY+pGu8G/g6blzo4740/+B8A+PEHb7w33tvTVuXPZaY/2xXej7fWJ+N9O/NhzDEMZ2s+jD0PABCOJv07ppsPYz799Zt6W+K1u+9bt0NGcD2dRfU7AMDgrV3u6LZqhHdjvK/npzT9YRjc4WDDeAHD6bD1rP7xh6hKO5W/THDGhfm/v97GQfPt8AwJR2s/p3y/3r6eZESGs3001QCA4Bb7i+l3qAYIybKv8deaN2PrW7s0ncYbeDPwd4C/Ft4MvLkx/cvBmxn/4LLGbJSv4af83oKfrPbPz+X45aE/uMPJB+8GgHxWh5AchHHaD6eD8d4egvHehGHMgBSHcigm1RhCrhcnO5Y8+SNjOVx6+ohMJPOPRrL5mPj1Ng6ab2c+rP+dLvdo/dmZYxjzpFEY71EfszMSSzCf1n0Y8+HCmAEpzpS/y1th8vvPscbJ9xnL59LTR2QimZ9kOFt3Tk1CmWs7jIVbf04fjfbk0rnrHX2co6vbz9oTpbvvXtWo+x2gy93oW6EM3hvzVpclTSeJAhGn9JeDr5iIetObMTHx15aqgVPekUB4C/9QniXhGNzhNIx/56ox4JkZYuuG08H4EKKmhAHgxx/iRyd7OE1f+PGHJBythU/UnZgeQgit9JP1s88SQlYaVw4AdSMJLg6aX2/R6AxH63/Hv3PVCHgGjveobAi6gG7R/nMekcPZLgpHK3+cqDHl2823RyrdfyKv+9t1lUMxnG2aVMPZojIpO4wCgRUTqxuZTl/vcLYpP66XyT914vjvHoGm+338yNj2gkGwr/HP2zdqASJNL/lyhOOAfYS3DtWAgPI7uhD8EUOmF1g1sO9gkGpMkzO6J6Nq5JnxPZ/zNWIhsxC004fTwWWXPza7XQ4ADKWrwZHpBVYNfK/7QKoxTcLonoyqkWdevre383+7edJi6vRfb4+5WB7R7ZQrhyJboeAvknbIFQQy9aTS+eul6+XyF1d08YpycZT0qsY/b0nfQZpOQKhGgLfcR1hWjbzA0acIPasSTJp+P/4QfFKNIZjMd1hQDVIUpu+yU/oOVSO56MQ9DY1sTjV6Fth5ta38d6QajB1yXwCA9rmgwz5svWT+e1SNXZcnQKnGP19uTCyqBl6JfDl4ny5a+LQFTb8hJD+/cjqWVAMG58mpW6jGyaJ9h37VyFdApUg1VKNrqwsgm2bI462cjiXVgHA0/VN0IX+/apSzNJ9sl6sGZ4e4Esm2Y9AKhUrnrpfzcZj8wWWry2KFElzHDk6W/7IVSng35NamNJ1tX7mCSOqQdj3fLLzb6aMqf1pxeH4Z0vgoJz55nfc70X4Bemh6CO7gjQ9+Woa4IW4lpD3ItPVQrFCIJ6/jymUIefq0aObSmRVTI38yRoezEZ+8zvt8aF9gfhD7Yd3Rmg8zbxYeQ9wySHuNyTnvXaEAlz+O+3pFwKVzKwg+P0W62GnLhnogneww+RTxv9VGKZ1OXm+jXtaeaHfWHF2+tSFUjc12Q5WnodfbUNZQrEQW0++QbZ68Kk9GdspL2Y7ZC8i3Fbj0e2SLU16KoiglqhqKoshQ1VAURYaqhqIoMlQ1FEWRoaqhKIqMpmp4C8bkfyxc4aGd264ie0FR9ioX+5qkoeWrM75kurScrRg89J9yfhmWVCN2hjMQD35cbSJtWNG6ooKDnU5D2YU36O6FK7QzDbDOdGk5IrjrTYNfmehbodSGs5PAj2I/WTy42TEpOtJN6dbPM3nwc34s6tZC8ISDIy0fJtWY/aa+yWCnS44ttNNljg1wWU6y5JRu7Xhp+GLjn8XhyNmZsxtnBzJ/LNO5sv0r2snV2+gv2FM1GvVK+4V1N4JgOD0Xa1UDpo6JBg1uzIDffLDoW87Mt25vZyHA09vbuXvwymLwSJWE5QNWjf4ODlnmOKpCvGQ3VhGmNqRBGVw2IVO6KwRROM5IO3N2k9oZm6WYe6J2cvVy/UXWuJjOQagGU++afgnMIldVY51q1F1byPb4rUCrda3xqQ+KEZZmqaj8VFR9Q26DdQrQ3SYtW2J7Bl+uYlwaXoG4qLE9ctUo7MzaTW7nZNi6IkE7efvT/TWxn2qw9a7ql1rvXpttVSNX5XlEcqOKH23FZsRYlLT8WFR0wiVzdQPVQGAfBLZQDbE9efvsqxpcf6GUXVRjqd4xV3e/qGrkbKoaeAWYvPpUwpw5zB85Zvfbmrwot7J8mAQoiISjWqGQqgGFuqHJY/O9GCwu2Zq/o0mkT8fZTWrnlmpI2knW2+ivVPseqtGod02/6AqlZEk1soevyUCh9HhDnd+Cs3mHMZ6qrTxnh75e7IZKy0/7I2mvrnM4FruhxoAL4xZD2psMvCdcX1QiVLuPLLydG1X02zkZM6BW4W2a3nby9dL9VV1XWmFxK6lO++CVFzlOVvSL7oZW6Ckvhv2evCqPhT55rVDV4NFTXoqe8qJQ1VAURYaqhqIoMlQ1FEWRoaqhKIoMVQ1FUWSoatw98QQqedZLUW7B1qphTXnwBp96qE8obhUfIR7RcWEs8DoTzOfHzPq/UrewYYeoGvWx6GTq+iv9B7S2slu7H7mTqZvgthg/qai7k+YApuMtqr3jjOTs4GvY/Cx2z1mpy+MjxDOafhinAVmn7LXXPrh3HBa/1X+SOp43Kyqax3cor5e4zMCOpx679bNJnAtpjXfriG023pqvWRU1dtmBHw997KYaxQW0tbD9zmKPybKX2avTWWOMjPw1fJ9uyEUQium/sc3Zt2J78jfNvSdu7O3296uGyx030hRYUBqnksiwZm27SanbT/Y7F9cD5P0euVw1pO1sg8fbuvgs2A5hUg3s25IelmgeXRDmbg/V4D3n/tnCxYNgmV4xKl5XBcY6FnVSFr+Dee+Ti8uAY0ngPO32S30NP9Bv0wKUN6Lg0ChfUs/4dc5uK+i/Li6uh7jfAWAL1ZC2s0E93sTxWfD7cvkKpfG2IdnCtj2J8dDFtXyNSOeoasSDENFYq3PxOwApRdYrTFwGshcX2y9SjZhIqkb9Iim+ZM7v2G/rR6QaK+zGsatqNGZp/XVuZ0oUaaGoCPejSDU67SkfDzvvaxT0jqruhVxXeyiL0PE7YuVTZ3AXUsTsInpxqf39dih6vfSfKykp7if1qzT9N/AVXKgaq/v9TlQjUo+3W6lGjz1XjYf7VI2td7Nrp9E2o79ZxwabgPx1WK4X2+2X+hqhaqHjHcvZjcoHjdQdTY9X+rlUNdb2OzmfN2n/CtWAaryJ47Pk4V2KFTH2yxZXKA17rl2ewJ5PXnNz0J5SM55CIxTCCsoNURy/o7JsHYeGbEw7PgXxlVV2iPcfy2yVpQag1lfpgd7maCP4fQnhdYnt1m4ks1t8efvb7WyTxtu6+Cw4WrJDgWPn/NN2vh/k82jVeEC86imv9lvwd/Ukz1kYNl2ydUKu7B6IR2//HfOSqmGpW1PEUcL/gmzySOWGPHr775uXVA1FUS5AVUNRFBmqGoqiyFDVUBRFhqqGoigyVDUURZHxmKqxUxwE/B5hOuGz4UGJ7Cepti68n+Kcq6nia+xth0dhRfyU29MXj4OLq9L3Sw6PqRr74ex8CnOP38LAZ35v8lsbxa9DcfE19rbDo7AufsqN6TgT2Iir0vGrUbdWDTvd1rzNTsLiE7WdcTrI+BfSeA3Ogp/mFZ4tdXvacRO4ekfVqPqVswOXjq+3TiTzpwx4THDxNfa2AweX/2r2KeDip5Djk4vbwqVz17si/ggZj6NBI65Kx03i1qoBUwek13vimA74Z3s7flWYi38hjdcQX/pwU8iJebZQ7WnFTWDqbTj8pB24dDouQ7McgPK1qDGFiq+xtx04GvmvYZ8KLn4KNz65uC1semOc9Mcf4eNxsDTiqnC/hj1zH6pBhiTA6//l3yKn4l+siNeA50n90+RFexpvQHP1cr4GZwcynXvDul0OSM5Z720Htnl8/ivYp4Z757Xxq+Bk3BYyvT1O+uOPNN6sX0d9n865T9XI1a5eW7ajKuGYSFLzOXxj8ZSWo/awb0Dz9TZafoeqAbvZgaaZ/45Ugx+fXNwWOr05Tvrjj6hqAABxc1tUDS7+hfRpi6M8Pa49jbgJXL1Fy+2qeylwcRma5YwXJVSNnezA1svnv4Z9Krh7Pjc+ubgtXHpjnAjij/DxOMZPO7zsLP9dr1CquADJUvNDyikQRqDyF7tipBvcH68hvfAaO6aI2VW0J22SkXETyHrrJ69cHIosLgZlH9pD5vNjayw+FNjbDm164pLsZx9MI74GPT75uC2NeC6NcdIff4SLxzFftSRU8gPshirXpHjyqmwLF7elHc/lrniAJ6/K9XmgEfxYcHFbGvFc7g095aUoyh6oaiiKIkNVQ1EUGaoaiqLIUNVQFEWGqoaiKDKaqvEi8SYW0XgTkSeON6FIWPI1nj7eRCcabyLyrPEmFAkdqvG08SYkJ2013kTkWeNNKBI6VONp400IVUPjTcATx5tQBPSpxrPGm+hH401EXjPehJLTpxrwpPEm+tF4E5HXjDeh5HSrxhPGm5CvUNK3NN4E/uKTx5tQSjqevJpnjTfRPXo03kRxsS8Vb0Kp0FNeyp48QbwJpUJVQ9mNJ4g3oVCoaiiKIkNVQ1EUGTdTDWOMMeaaNSqKsgmqGoqiyFDVUBRFxv8pbOD3jz+YbQAAAABJRU5ErkJggg==" alt="" />
捕获raise抛出的异常。
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5.定义清理行为
try语句还有一个可选的finally子句,目的在于定义在任何情况下都一定要执行的功能。
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" alt="" />
不管有没有异常,fianlly子句都会发生。
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