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Python Exception Get Message

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Python Try Except Pass

up python: How do I know what type of exception occured? up vote 64 down vote favorite 24 I have a function called by the main program: try: someFunction() except: print "exception happened!" but in the middle of the execution of the function it raises exception, so it jumps to the except part. How can I see exactly what happened in the

Catch Multiple Exceptions Python

someFunction() that caused the exception to happen? python exception share|improve this question edited Apr 30 '12 at 13:41 asked Mar 22 '12 at 14:08 Shang Wang 11.6k53164 3 Never ever ever use bare except: (without a bare raise), except maybe once per program, and preferably not then. –Mike Graham Mar 22 '12 at 14:18 If you use multiple except clauses you wont need to check the exception type, that is what is usually done to act accordingly to a specific exception type. –Rik Poggi Mar 22 '12 at 14:29 1 If you care about the type of exception, it's because you've already considered what types of exception might logically occur. –Karl Knechtel Mar 22 '12 at 14:48 add a comment| 10 Answers 10 active oldest votes up vote 122 down vote accepted The other answers all point out that you should not catch generic exceptions, but no one seems to want to tell you why, which is essential to understanding when you can break the "rule". Here is an explanation. Basically, it's so that you don't hide the fact that an err

you have probably seen some. There are (at least) two distinguishable kinds of errors: syntax errors and exceptions. 8.1. Syntax Errors¶ Syntax errors, also known python general exception as parsing errors, are perhaps the most common kind of complaint you

Python Raise Custom Exception

get while you are still learning Python: >>> while True print('Hello world') File "", line 1 while True print('Hello python ignore exception world') ^ SyntaxError: invalid syntax The parser repeats the offending line and displays a little ‘arrow' pointing at the earliest point in the line where the error was detected. The error http://stackoverflow.com/questions/9823936/python-how-do-i-know-what-type-of-exception-occured is caused by (or at least detected at) the token preceding the arrow: in the example, the error is detected at the function print(), since a colon (':') is missing before it. File name and line number are printed so you know where to look in case the input came from a script. 8.2. Exceptions¶ Even if a statement or expression https://docs.python.org/3/tutorial/errors.html is syntactically correct, it may cause an error when an attempt is made to execute it. Errors detected during execution are called exceptions and are not unconditionally fatal: you will soon learn how to handle them in Python programs. Most exceptions are not handled by programs, however, and result in error messages as shown here: >>> 10 * (1/0) Traceback (most recent call last): File "", line 1, in ZeroDivisionError: division by zero >>> 4 + spam*3 Traceback (most recent call last): File "", line 1, in NameError: name 'spam' is not defined >>> '2' + 2 Traceback (most recent call last): File "", line 1, in TypeError: Can't convert 'int' object to str implicitly The last line of the error message indicates what happened. Exceptions come in different types, and the type is printed as part of the message: the types in the example are ZeroDivisionError, NameError and TypeError. The string printed as the exception type is the name of the built-in exception that occurred. This is true for all built-in exceptions, but need not be true for u

Pages Local Site Map ------------------------ Rename Page Delete Page ------------------------ ------------------------ Remove Spam Revert to this revision ------------------------ SlideShow User Login Handling Exceptions The simplest way to handle exceptions is with a "try-except" block: 1 (x,y) = (5,0) 2 try: 3 z = x/y 4 except ZeroDivisionError: 5 print "divide by zero" If you wanted https://wiki.python.org/moin/HandlingExceptions to examine the exception from code, you could have: 1 (x,y) = (5,0) 2 try: 3 z = x/y 4 except ZeroDivisionError as e: 5 z = e # representation: "" 6 print http://www.python-course.eu/python3_exception_handling.php z # output: "integer division or modulo by zero" General Error Catching Sometimes, you want to catch all errors that could possibly be generated, but usually you don't.In most cases, you want to be as specific python raise as possible (CatchWhatYouCanHandle). In the first example above, if you were using a catch-all exception clause and a user presses Ctrl-C, generating a KeyboardInterrupt, you don't want the program to print "divide by zero". However, there are some situations where it's best to catch all errors. For example, suppose you are writing an extension module to a web service. You want the error information to output the output web page, and the server python print error to continue to run, if at all possible. But you have no idea what kind of errors you might have put in your code. In situations like these, you may want to code something like this: 1 import sys 2 try: 3 untrusted.execute() 4 except: # catch *all* exceptions 5 e = sys.exc_info()[0] 6 write_to_page( "

Error: %s

" % e ) MoinMoin software is a good example of where general error catching is good. If you write MoinMoin extension macros, and trigger an error, MoinMoin will give you a detailed report of your error and the chain of events leading up to it. Python software needs to be able to catch all errors, and deliver them to the recipient of the web page. Another case is when you want to do something when code fails: 1 try: 2 do_some_stuff() 3 except: 4 rollback() 5 raise 6 else: 7 commit() By using raise with no arguments, you will re-raise the last exception. A common place to use this would be to roll back a transaction, or undo operations. If it's a matter of cleanup that should be run regardless of success or failure, then you would do: 1 try: 2 do_some_stuff() 3 finally: 4 cleanup_stuff() Finding Specific Exception Names Standard exceptions that can be raised are detailed at: http://docs.python.org/library/ex

Data Types: Lists and StringsList ManipulationsShallow and Deep CopyDictionariesSets and Frozen Setsinput via the keyboardConditional StatementsLoops, while LoopFor LoopsOutput with PrintFormatted output with string modulo and the format methodFunctionsRecursion and Recursive FunctionsParameter Passing in FunctionsNamespacesGlobal and Local VariablesDecoratorsMemoization with DecoratorsRead and Write FilesModular Programming and ModulesRegular ExpressionsRegular Expressions, AdvancedLambda Operator, Filter, Reduce and MapList ComprehensionIterators and GeneratorsException HandlingTests, DocTests, UnitTestsObject Oriented ProgrammingClass and Instance AttributesProperties vs. getters and settersInheritanceMultiple InheritanceMagic Methods and Operator OverloadingOOP, Inheritance ExampleSlotsClasses and Class CreationRoad to MetaclassesMetaclassesMetaclass Use Case: Count Function Calls Exceptions "Nothing travels faster than the speed of light with the possible exception of bad news, which obeys its own special laws." (Douglas Adams) "General principles should not be based on exceptional cases." (Robert J. Sawyer) This website is supported by: Linux and Python Training Courses This topic in German / Deutsche Übersetzung: AusnahmebehandlungPython 3This is a tutorial in Python3, but this chapter of our course is available in a version for Python 2.x as well: Exception Handling in Python 2.x Training Classes This website aims at providing you with educational material suitable for self-learning. Nevertheless, it is faster and more efficient to attend a "real" Python course in a classroo, with an experienced trainer. So why not attend one of the live Python courses in Strasbourg, Paris, London, Berlin, Munich, Hamburg, Frankfurt, or Lake Constance by Bernd Klein, the author of this tutorial? In-house Training Courses If you like it, we will come to your company or institute and provide a special training for your employees, as we've done it many times in Amsterdam (The Netherlands), Berlin (Germany), Bern (Switzerland), Basel (Switzerland), Zurich (Switzerland), Frankfurt (Germany), Locarno (Switzerland), Den Haag (The Hague), Hamburg, Toronto (Canada), Edmonton (Canada), Munich (Germany) and many other cities. We do training courses in England, Switzerland, Liechtenstein, Austria, Germany, France, Belgium, the Netherlands, Luxembourg, Poland, UK, Italy and other locations in Europe and in Canada. This way you will get a perfect training up to your needs and it will be extremely cost efficient as well. Contact us so we can find the ideal course to meet your needs. Skilled Python Programmers Y

 

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