Exceptions
Exceptions occur when exceptional situations occur in your program. For example, what if you are going to read a file and the file does not exist? Or what if you accidentally deleted it when the program was running? Such situations are handled using exceptions.
Similarly, what if your program had some invalid statements? This is handled by Python which raises its hands and tells you there is an error.
Errors
Consider a simple print
function call. What if we misspelt print
as Print
? Note the capitalization. In this case, Python raises a syntax error.
Observe that a NameError
is raised and also the location where the error was detected is printed. This is what an error handler for this error does.
Exceptions
We will try to read input from the user. Enter the first line below and hit the Enter
key. When your computer prompts you for input, instead press [ctrl-d]
on a Mac or [ctrl-z]
with Windows and see what happens. (If you're using Windows and neither option works, you can try [ctrl-c]
in the Command Prompt to generate a KeyboardInterrupt error instead).
Python raises an error called EOFError
which basically means it found an end of file symbol (which is represented by ctrl-d
) when it did not expect to see it.
Handling Exceptions
We can handle exceptions using the try..except
statement. We basically put our usual statements within the try-block and put all our error handlers in the except-block.
Example (save as exceptions_handle.py
):
Output:
How It Works
We put all the statements that might raise exceptions/errors inside the try
block and then put handlers for the appropriate errors/exceptions in the except
clause/block. The except
clause can handle a single specified error or exception, or a parenthesized list of errors/exceptions. If no names of errors or exceptions are supplied, it will handle all errors and exceptions.
Note that there has to be at least one except
clause associated with every try
clause. Otherwise, what's the point of having a try block?
If any error or exception is not handled, then the default Python handler is called which just stops the execution of the program and prints an error message. We have already seen this in action above.
You can also have an else
clause associated with a try..except
block. The else
clause is executed if no exception occurs.
In the next example, we will also see how to get the exception object so that we can retrieve additional information.
Raising Exceptions
You can raise exceptions using the raise
statement by providing the name of the error/exception and the exception object that is to be thrown.
The error or exception that you can raise should be a class which directly or indirectly must be a derived class of the Exception
class.
Example (save as exceptions_raise.py
):
Output:
How It Works
Here, we are creating our own exception type. This new exception type is called ShortInputException
. It has two fields - length
which is the length of the given input, and atleast
which is the minimum length that the program was expecting.
In the except
clause, we mention the class of error which will be stored as
the variable name to hold the corresponding error/exception object. This is analogous to parameters and arguments in a function call. Within this particular except
clause, we use the length
and atleast
fields of the exception object to print an appropriate message to the user.
Try ... Finally
Suppose you are reading a file in your program. How do you ensure that the file object is closed properly whether or not an exception was raised? This can be done using the finally
block.
Save this program as exceptions_finally.py
:
Output:
How It Works
We do the usual file-reading stuff, but we have arbitrarily introduced sleeping for 2 seconds after printing each line using the time.sleep
function so that the program runs slowly (Python is very fast by nature). When the program is still running, press ctrl + c
to interrupt/cancel the program.
Observe that the KeyboardInterrupt
exception is thrown and the program quits. However, before the program exits, the finally clause is executed and the file object is always closed.
Notice that a variable assigned a value of 0 or None
or a variable which is an empty sequence or collection is considered False
by Python. This is why we can use if f:
in the code above.
Also note that we use sys.stdout.flush()
after print
so that it prints to the screen immediately.
The with statement
Acquiring a resource in the try
block and subsequently releasing the resource in the finally
block is a common pattern. Hence, there is also a with
statement that enables this to be done in a clean manner:
Save as exceptions_using_with.py
:
How It Works
The output should be same as the previous example. The difference here is that we are using the open
function with the with
statement - we leave the closing of the file to be done automatically by with open
.
What happens behind the scenes is that there is a protocol used by the with
statement. It fetches the object returned by the open
statement, let's call it "thefile" in this case.
It always calls the thefile.__enter__
function before starting the block of code under it and always calls thefile.__exit__
after finishing the block of code.
So the code that we would have written in a finally
block should be taken care of automatically by the __exit__
method. This is what helps us to avoid having to use explicit try..finally
statements repeatedly.
More discussion on this topic is beyond scope of this book, so please refer PEP 343 for a comprehensive explanation.
Summary
We have discussed the usage of the try..except
and try..finally
statements. We have seen how to create our own exception types and how to raise exceptions as well.
Next, we will explore the Python Standard Library.
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