


Python exception handling skills are revealed to help you become a programming master
Feb 25, 2024 pm 04:08 PM-
try...except...finally
This is the most commonly used exception handling structure in python, which is used to catch exceptions and execute corresponding processing logic. The try block contains the code to be executed, the except block contains the handling logic after catching the exception, and the finally block contains the code that will be executed regardless of whether an exception occurs. For example:
try: # 執(zhí)行代碼 except Exception as e: # 捕獲異常并處理 finally: # 無(wú)論是否發(fā)生異常都會(huì)執(zhí)行的代碼
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raise
Theraise statement is used to throw exceptions, and you can specify the exception type and exception information to be thrown. For example:
raise ValueError("無(wú)效的參數(shù)值")
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assert
The assert statement is used to check whether a certain condition is true. If it is not true, an AssertionError exception is thrown. For example:
assert x > 0, "x must be greater than 0"
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Custom exception
You can create your own exception class, which inherits from the Exception class. For example:
class MyError(Exception): pass raise MyError("我的錯(cuò)誤")
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Use the logging module to record exceptions
The logging module can be used to record exception information. For example:
import logging try: # 執(zhí)行代碼 except Exception as e: logging.error("發(fā)生異常", exc_info=True)
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Use context manager to handle exceptions
The context manager is a mechanism used to simplify exception handling. For example:
with open("file.txt", "r") as f: # 執(zhí)行代碼
If an exception occurs in the with block, file f will be automatically closed.
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Use exceptions to control program flow
Exceptions can also be used to control program flow. For example, you can use exceptions to implement loops or branches. For example:
while True: try: # 執(zhí)行代碼 except KeyboardInterrupt: break
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Use exceptions for unit testing
Exceptions can also be used for unit testing. For example, you can use exceptions to check whether a function throws the correct exception. For example:
import unittest class MyTestCase(unittest.TestCase): def test_my_function(self): with self.assertRaises(ValueError): my_function(-1)
The above tips can help you handle exceptions better and improve the robustness of your code.
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