Python Files and Exceptions - Supercoders | Web Development and Design | Tutorial for Java, PHP, HTML, Javascript Python Files and Exceptions - Supercoders | Web Development and Design | Tutorial for Java, PHP, HTML, Javascript

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Tuesday, December 18, 2018

Python Files and Exceptions

Python Files and Exceptions


What are files? What are exceptions?

Your programs can read information in from files, and they can write data to files. Reading from files allows you to work with a wide variety of information; writing to files allows users to pick up where they left off the next time run your program. You can write text to files, and you can store Python structure such as lists in data files.

Exceptions are special objects that help your programs respond to errors in appropriate ways. For example if your program tries to open a file that doesn't exists, you use exceptions to display an
informative error message instead of having the program crash.



Reading from file

To read from a file your program needs to open the file and then read the contents of thefile. You can read the entire contents of the file at once, or read the file line by line. The with statement makes sure the file is closed properly when the program has finished accessing the file.

#Reading an entire file at once
filename = 'siddhartha.txt'

with open(filename) as f_obj:
	contents = f_obj.read()

print(contents)

#Reading line by line
#Each line that's read from the files has a newline character at the end of the line, and the print function adds its own newline character. The rstrip() method gets rid of the the extra blank lines this would result in when printing to the terminal.

Screenshot 

python read file

 

filename = 'siddhartha.txt'

with open(filename)as f_obj:
	for line in f_obj:
		print(line.rstrip())

Screenshot 

python read file

 

reading from a file (cont.)
#Storing the lines in a list
filename = 'siddhartha.txt'

with open(filename) as f_obj:
	lines = f_obj.readlines()

for line in lines:
	print(line.rstrip())

Screenshot 

python read file in list

 


Writing to a file


Passing the 'w' argument to open() tells Python you want to write to the file. Be careful; this will erase the contents of the file if it already exists. Passing the 'a' argument tells Python you want to append to the end of an existing file
#Writing to an empty file 
filename = 'programming.txt'

with open (filename, 'w') as f:
	f.write("I love programming!")

#Writing multiple lines to an empty file
filename = 'programming.txt'

with open (filename, 'w') as f:
	f.write("I love programming!\n")
	f.write("I love creating new games.\n")

#Appending to a file
filename = 'programming.txt'

with open (filename, 'a') as f:
	f.write("I also love working with data.\n")
	f.write("I love making apps as well.\n")

with open(filename) as f_obj:
	contents = f_obj.read()

print(contents)

Screenshot 

python file write

 


File paths 


When python runs the open() function, it looks for the file in the same directory where the program that's being excuted is stored. You can open a file from a subfolder using a relative path.You can also use an absolute path to open any file on your system.
#Opening a file from a subfolder
f_path = "text_files/alice.txt"

with open(f_path) as f_obj:
lines = f_obj.readlines()

for line in lines :
print(line.rstrip())

File paths(cont.)

#Opening a file using an absolute path
f_path = "/home/sanjeev/books/alice.txt"

with open(f_path) as f_obj:
	lines = f_obj.readlines()

#Opening a file on windows

#Windows will sometimes interpret forward slashes incorrectly. If you run into this, use backslashes in your file paths.

f_path = "C:\User\sanjeev\books\alice.txt"
with open(f_path) as f_obj:
	lines = f_obj.readlines()


The try-except block

When you think an error may occur, you can write a try except block to handle the exception that might be raised. The try block tells Python to try running some code, and the except block tells Python what to do if the code results in a particular kind of error.

#Handling the ZeroDivisionError exception
try:
with open(f_name) as f_obj:
	lines = f_obj.readlines()
except FileNotFoundError:
	msg = "can't find file {0}.".format(f_name)
print(msg)

Knowing which exception to handle

It can be hard to know what kind of exception to handle when writing code. Try writing your code without a try block, and make it generate an error. The traceback will tell you what kind of exception your program needs to handle.

The else block

The try block should only contain code that may cause an error. Any code that depends on the try block running successfully should be placed in the else block.

#Using an else block
print("Enter two numbers. I'll divide them.")

x = input("First number:")
y = input("second number:")

try:
	result = int(x) / int(y)
except ZeroDivisionError:
	print("You can't divide by zero!")
else:
	print(result)

#preventing crashes from user input
#without the except block in the following example, the program would crash if the user tries to divide by zero. As written, it will handle the error gracefully and keep running.
"""A simple calculator for division only."""

print("Enter two numbers. I'll divide them.")
print("Enter 'q' to quit.")

while True:
	x = input("\nFirst number: ")
	if x == 'q':
		break
	y = input("Second number:")
	if y == 'q':
		break

	try:
		result = int(x) / int(y)
	except ZeroDivisionError:
		print("you can't divide by zero!")
	else:
		print(result)

Screenshot 

 
python else


Deciding which errors to report

Well-written, properly tested code is not very prone to internal errors such as syntax or logical errors. But every time your program depends on something external such as user input or the existence of a file, there's a possibility of an exception being raised.

It's up to you how to communicate errors to your users. Sometimes users need to know if a file is missing; sometimes it's better to handle the error silently. A little experience will help you know how much to report.

Failing silently

Sometimes you want your program to just continue running when it encounters an error, without reporting the error to the user. Using the pass statement in an else block allows you to do this

#Using the pass statement in an else block
f_names = ['alice.txt', 'siddhartha.txt', 'moby_dick.txt', 'little_women.txt']

for f_name in f_names:
# Report the length of each file found.
	try:
		with open(f_name) as f_obj:
			lines = f_obj.readlines()
	except FileNotFoundError:
		# just move on to the next file.
		pass
	else:
			num_lines = len(lines)
			msg = "{0} has {1} lines.".format(f_name, num_lines)
			print(msg)

Screenshot 

python file handling

 


Avoid bare except blocks

Exception-handling code should catch specific exceptions that you except to happen during your program's execution. A bare except block will catch all exception, including keyboard interrupts and system exits you might need when forcing a program to close.

If you want to use a try block and you're not sure which exception to catch, use Exception. It will catch most exceptions, but still allow you to interrupt programs intentionally.

#Don't use bare except blocks
try:
# Do something 
except:
	pass
#Use Exception instead
try:
#Do something
except Exception:
	pass
	#Printing the exception
try:
	#Do something
except Exception as e:
	print(e, type(e))

Storing data with json

The json module allows you to dump simple Python data structures intoa file, and load the data from that file the next time the program runs. The JSON data format is not specific to Python, so you can share this kind of data with people who work in other languages as well.

Knowing how to mange exceptions is important when working with stored data. You'll usually want to make sure the data you're trying to load exists before working with it.

#Using json.dump() to store data
"""Store some munbers."""

import json 

numbers =[2, 3, 5, 7, 11, 13]

filename = 'number.json'
with open(filename, 'w') as f_obj:
	json.dump(numbers, f_obj)

#Using json.load() to read data
"""Load some previously stored numbers."""


filename = 'number.json'
with open(filename) as f_obj:
	numbers = json.load(f_obj)
	print(numbers)

#Making sure the stored data exists
import json 

f_name = 'number.json'

try:
	with open(f_name) as f_obj:
		numbers = json.load(f_obj)
except FilenotFoundError:
	msg = "Can't find {0}.".format(f_name)
	print(msg)
else:
	print(numbers)

Screenshot 

json exception

 

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