Exception handling in python and how to handle it

17. Python Exceptions Handling
Python provides two very important features to handle any unexpected
error in your Python programs and to add debugging capabilities in
them:
– Exception Handling: This would be covered in this tutorial.
– Assertions: This would be covered in Assertions in Python tutorial.
What is Exception?
• An exception is an event, which occurs during the execution of a
program, that disrupts the normal flow of the program's instructions.
• In general, when a Python script encounters a situation that it can't
cope with, it raises an exception. An exception is a Python object that
represents an error.
• When a Python script raises an exception, it must either handle the
exception immediately otherwise it would terminate and come out.

Handling an exception:
• If you have some suspicious code that may raise an exception, you can
defend your program by placing the suspicious code in a try: block.
After the try: block, include an except: statement, followed by a block
of code which handles the problem as elegantly as possible.
Syntax:
try:
You do your operations here;
......................
except Exception I:
If there is ExceptionI, then execute this block.
except Exception II:
If there is ExceptionII, then execute this block.
......................
else:
If there is no exception then execute this block.

Here are few important points above the above mentioned syntax:
• A single try statement can have multiple except statements. This is
useful when the try block contains statements that may throw
different types of exceptions.
• You can also provide a generic except clause, which handles any
exception.
• After the except clause(s), you can include an else-clause. The code in
the else-block executes if the code in the try: block does not raise an
exception.
• The else-block is a good place for code that does not need the try:
block's protection.

Example:
try:
fh = open("testfile", "w")
fh.write("This is my test file for exception
handling!!")
except IOError: print "Error: can't find file or read
data"
else: print "Written content in the file successfully"
fh.close()
• This will produce following result:
Written content in the file successfully

The except clause with no exceptions:
You can also use the except statement with no exceptions
defined as follows:
try:
......................
except:
If there is any exception, then execute this
block. ......................
else:
This kind of a try-except statement catches all the exceptions
that occur. Using this kind of try-except statement is not
considered a good programming practice, though, because it
catches all exceptions but does not make the programmer
identify the root cause of the problem that may occur.

The except clause with multiple exceptions:
You can also use the same except statement to handle multiple
exceptions as follows:
try:
......................
except(Exception1[, Exception2[,...ExceptionN]]]):
If there is any exception from the given exception
list, then execute this block
.......................
else:

Standard Exceptions:
Here is a list standard Exceptions available in Python:
Standard Exceptions
The try-finally clause:
You can use a finally: block along with a try: block. The finally block is
a place to put any code that must execute, whether the try-block
raised an exception or not. The syntax of the try-finally statement is
this:
try:
......................
Due to any exception, this may be skipped.
finally:
This would always be executed.
......................
Note that you can provide except clause(s), or a finally clause, but not
both. You can not use else clause as well along with a finally clause.

Example:
try:
fh = open("testfile", "w")
fh.write("This is my test file for exception
handling!!")
finally:
print "Error: can't find file or read data"
If you do not have permission to open the file in writing mode
then this will produce following result:
Error: can't find file or read data

Reading and Writing Files:
The file object provides a set of access methods to make our lives easier.
We would see how to use read() and write() methods to read and write
files.
The write() Method:
• The write() method writes any string to an open file. It is important to
note that Python strings can have binary data and not just text.
• The write() method does not add a newline character ('n') to the end
of the string:
Syntax:
fileObject.write(string);

Argument of an Exception:
An exception can have an argument, which is a value that gives
additional information about the problem. The contents of the
argument vary by exception. You capture an exception's argument by
supplying a variable in the except clause as follows:
try:
......................
except ExceptionType, Argument:
You can print value of Argument here...
• If you are writing the code to handle a single exception, you can have
a variable follow the name of the exception in the except statement. If
you are trapping multiple exceptions, you can have a variable follow
the tuple of the exception.
• This variable will receive the value of the exception mostly containing
the cause of the exception. The variable can receive a single value or
multiple values in the form of a tuple. This tuple usually contains the
error string, the error number, and an error location.

Example:
Following is an example for a single exception:
def temp_convert(var):
try:
return int(var)
except ValueError, Argument:
print "The argument does not contain
numbersn", Argument
temp_convert("xyz");
• This would produce following result:
The argument does not contain numbers
invalid literal for int() with base 10: 'xyz'

Raising an exceptions:
You can raise exceptions in several ways by using the raise statement.
The general syntax for the raise statement.
Syntax:
raise [Exception [, args [, traceback]]]
• Here Exception is the type of exception (for example, NameError) and
argument is a value for the exception argument. The argument is
optional; if not supplied, the exception argument is None.
• The final argument, traceback, is also optional (and rarely used in
practice), and, if present, is the traceback object used for the exception
Example:
def functionName( level ):
if level < 1:
raise "Invalid level!", level
# The code below to this would not be executed
# if we raise the exception

Note: In order to catch an exception, an "except" clause must
refer to the same exception thrown either class object or simple
string. For example to capture above exception we must write
our except clause as follows:
try:
Business Logic here...
except "Invalid level!":
Exception handling here...
else:
Rest of the code here...

User-Defined Exceptions:
• Python also allows you to create your own exceptions by deriving classes
from the standard built-in exceptions.
• Here is an example related to RuntimeError. Here a class is created that is
subclassed from RuntimeError. This is useful when you need to display
more specific information when an exception is caught.
• In the try block, the user-defined exception is raised and caught in the
except block. The variable e is used to create an instance of the class
Networkerror.
class Networkerror(RuntimeError):
def __init__(self, arg):
self.args = arg
• So once you defined above class, you can raise your exception as follows:
try:
raise Networkerror("Bad hostname")
except Networkerror,e:
print e.args

Exception handling in python and how to handle it

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