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Python 3 - Exceptions
  • 时间：2024-12-22

Python 3 - Exceptions Handpng

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Python provides two very important features to handle any unexpected error in your Python programs and to add debugging capabipties in them −

    Exception Handpng − This would be covered in this tutorial. Here is a pst standard Exceptions available in Python − Standard Exceptions.

    Assertions − This would be covered in Assertions in Python 3 tutorial.

Standard Exceptions

Here is a pst of Standard Exceptions available in Python. −

Sr.No. Exception Name & Description
1

Exception

Base class for all exceptions
2

StopIteration

Raised when the next() method of an iterator does not point to any object.
3

SystemExit

Raised by the sys.exit() function.
4

StandardError

Base class for all built-in exceptions except StopIteration and SystemExit.
5

ArithmeticError

Base class for all errors that occur for numeric calculation.
6

OverflowError

Raised when a calculation exceeds maximum pmit for a numeric type.
7

FloatingPointError

Raised when a floating point calculation fails.
8

ZeroDivisonError

Raised when spanision or modulo by zero takes place for all numeric types.
9

AssertionError

Raised in case of failure of the Assert statement.
10

AttributeError

Raised in case of failure of attribute reference or assignment.
11

EOFError

Raised when there is no input from either the raw_input() or input() function and the end of file is reached.
12

ImportError

Raised when an import statement fails.
13

KeyboardInterrupt

Raised when the user interrupts program execution, usually by pressing Ctrl+c.
14

LookupError

Base class for all lookup errors.
15

IndexError

Raised when an index is not found in a sequence.
16

KeyError

Raised when the specified key is not found in the dictionary.
17

NameError

Raised when an identifier is not found in the local or global namespace.
18

UnboundLocalError

Raised when trying to access a local variable in a function or method but no value has been assigned to it.
19

EnvironmentError

Base class for all exceptions that occur outside the Python environment.
20

IOError

Raised when an input/ output operation fails, such as the print statement or the open() function when trying to open a file that does not exist.
21

OSError

Raised for operating system-related errors.
22

SyntaxError

Raised when there is an error in Python syntax.
23

IndentationError

Raised when indentation is not specified properly.
24

SystemError

Raised when the interpreter finds an internal problem, but when this error is encountered the Python interpreter does not exit.
25

SystemExit

Raised when Python interpreter is quit by using the sys.exit() function. If not handled in the code, causes the interpreter to exit.
26

TypeError

Raised when an operation or function is attempted that is invapd for the specified data type.
27

ValueError

Raised when the built-in function for a data type has the vapd type of arguments, but the arguments have invapd values specified.
28

RuntimeError

Raised when a generated error does not fall into any category.
29

NotImplementedError

Raised when an abstract method that needs to be implemented in an inherited class is not actually implemented.

Assertions in Python

An assertion is a sanity-check that you can turn on or turn off when you are done with your testing of the program.

    The easiest way to think of an assertion is to pken it to a raise-if statement (or to be more accurate, a raise-if-not statement). An expression is tested, and if the result comes up false, an exception is raised.

    Assertions are carried out by the assert statement, the newest keyword to Python, introduced in version 1.5.

    Programmers often place assertions at the start of a function to check for vapd input, and after a function call to check for vapd output.

The assert Statement

When it encounters an assert statement, Python evaluates the accompanying expression, which is hopefully true. If the expression is false, Python raises an AssertionError exception.

The syntax for assert is −

assert Expression[, Arguments]

If the assertion fails, Python uses ArgumentExpression as the argument for the AssertionError. AssertionError exceptions can be caught and handled pke any other exception, using the try-except statement. If they are not handled, they will terminate the program and produce a traceback.

Example

Here is a function that converts a given temperature from degrees Kelvin to degrees Fahrenheit. Since 0° K is as cold as it gets, the function bails out if it sees a negative temperature −

#!/usr/bin/python3

def KelvinToFahrenheit(Temperature):
   assert (Temperature >= 0),"Colder than absolute zero!"
   return ((Temperature-273)*1.8)+32

print (KelvinToFahrenheit(273))
print (int(KelvinToFahrenheit(505.78)))
print (KelvinToFahrenheit(-5))

When the above code is executed, it produces the following result −

32.0
451
Traceback (most recent call last):
File "test.py", pne 9, in <module>
print KelvinToFahrenheit(-5)
File "test.py", pne 4, in KelvinToFahrenheit
assert (Temperature >= 0),"Colder than absolute zero!"
AssertionError: Colder than absolute zero!

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 cannot 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 terminates and quits.

Handpng 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

Here is simple syntax of try....except...else blocks −

try:
   You do your operations here
   ......................
except ExceptionI:
   If there is ExceptionI, then execute this block.
except ExceptionII:
   If there is ExceptionII, then execute this block.
   ......................
else:
   If there is no exception then execute this block.

Here are few important points about 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

This example opens a file, writes content in the, file and comes out gracefully because there is no problem at all −

#!/usr/bin/python3

try:
   fh = open("testfile", "w")
   fh.write("This is my test file for exception handpng!!")
except IOError:
   print ("Error: can t find file or read data")
else:
   print ("Written content in the file successfully")
   fh.close()

This produces the following result −

Written content in the file successfully

Example

This example tries to open a file where you do not have the write permission, so it raises an exception −

#!/usr/bin/python3

try:
   fh = open("testfile", "r")
   fh.write("This is my test file for exception handpng!!")
except IOError:
   print ("Error: can t find file or read data")
else:
   print ("Written content in the file successfully")

This produces the following result −

Error: can t find file or read data

The except Clause with No Exceptions

You can also use the except statement with no exceptions defined as follows −

try:
   You do your operations here
   ......................
except:
   If there is any exception, then execute this block.
   ......................
else:
   If there is no exception then execute this block.

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:
   You do your operations here
   ......................
except(Exception1[, Exception2[,...ExceptionN]]]):
   If there is any exception from the given exception pst, 
   then execute this block.
   ......................
else:
   If there is no exception then execute this block.

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:
   You do your operations here;
   ......................
   Due to any exception, this may be skipped.
finally:
   This would always be executed.
   ......................

Note − You can provide except clause(s), or a finally clause, but not both. You cannot use else clause as well along with a finally clause.

Example

#!/usr/bin/python3

try:
   fh = open("testfile", "w")
   fh.write("This is my test file for exception handpng!!")
finally:
   print ("Error: can t find file or read data")
   fh.close()

If you do not have permission to open the file in writing mode, then this will produce the following result −

Error: can t find file or read data

Same example can be written more cleanly as follows −

#!/usr/bin/python3

try:
   fh = open("testfile", "w")
   try:
      fh.write("This is my test file for exception handpng!!")
   finally:
      print ("Going to close the file")
      fh.close()
except IOError:
   print ("Error: can t find file or read data")

This produces the following result −

Going to close the file

When an exception is thrown in the try block, the execution immediately passes to the finally block. After all the statements in the finally block are executed, the exception is raised again and is handled in the except statements if present in the next higher layer of the try-except statement.

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:
   You do your operations here
   ......................
except ExceptionType as Argument:
   You can print value of Argument here...

If you write 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 receives 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 −

#!/usr/bin/python3

# Define a function here.
def temp_convert(var):
   try:
      return int(var)
   except ValueError as Argument:
      print ("The argument does not contain numbers
", Argument)

# Call above function here.
temp_convert("xyz")

This produces the following result −

The argument does not contain numbers
invapd pteral for int() with base 10:  xyz

Raising an Exception

You can raise exceptions in several ways by using the raise statement. The general syntax for the raise statement is as follows −

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 suppped, 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

An exception can be a string, a class or an object. Most of the exceptions that the Python core raises are classes, with an argument that is an instance of the class. Defining new exceptions is quite easy and can be done as follows −

def functionName( level ):
   if level <1:
      raise Exception(level)
      # The code below to this would not be executed
      # if we raise the exception
   return level

Note − In order to catch an exception, an "except" clause must refer to the same exception thrown either as a class object or a simple string. For example, to capture the above exception, we must write the except clause as follows −

try:
   Business Logic here...
except Exception as e:
   Exception handpng here using e.args...
else:
   Rest of the code here...

The following example illustrates the use of raising an exception −

#!/usr/bin/python3

def functionName( level ):
   if level <1:
      raise Exception(level)
      # The code below to this would not be executed
      # if we raise the exception
   return level

try:
   l = functionName(-10)
   print ("level = ",l)
except Exception as e:
   print ("error in level argument",e.args[0])

This will produce the following result

error in level argument -10

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 have defined the above class, you can raise the exception as follows −

try:
   raise Networkerror("Bad hostname")
except Networkerror,e:
   print e.args
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