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1. Files in Python

2. Types of files

3. Files in Python

4. Files in Python
 ☞ FILE HANDLING:
 It is a mechanism by which we can read data of disk
files in python program or write back data from
python program to disk files.
 So far in our python program the standard input in
coming from keyboard an output is going to monitor.
 No where data is stored permanent and entered data is
present as long as program is running BUT file
handling allows us to store data entered through python
program permanently in disk file and later on we can
read back the data.

5. Files in Python
• Python supports Two files:
• 1. Text Files
• 2. Binary Files
☞ Text Files:
 Text file stores information in ASCII OR UNICODE character.
In text file everything will be stored as a character for example
if data is “computer” then it will take 8 bytes and if the data is
floating value like 11237.9876 it will take 10 bytes.
 In text file each line is terminated by special character called
EOL. In text file some translation takes place when this EOL
character is read or written. In python EOL is ‘n’ or ‘r’ or
combination of both.
 Ex: Examples of text files include word processing documents,
log files, and saved email messages.

6. Files in Python
☞ Binary files:
 It stores the information in the same format as in the memory
i.e. data is stored according to its data type so no translation
occurs.
 In binary file there is no delimiter for a new line
 Binary files are faster and easier for a program to read and
write than text files.
 Data in binary files cannot be directly read, it can be read only
through python program for the same.
 Ex: Executable files, compiled programs, SAS and SPSS
system files, spreadsheets, compressed files, and graphic
(image) files are all examples of binary files.

7. Files in Python
Common extensions for binary file formats:
• Images: jpg, png, gif, bmp, tiff, psd,...
• Videos: mp4, mkv, avi, mov, mpg, vob,...
• Audio: mp3, aac, wav, flac, ogg, mka, wma,...
• Documents: pdf, doc, xls, ppt, docx, odt,...
• Archive: zip, rar, 7z, tar, iso,...
• Database: mdb, accde, frm, sqlite,...
• Executable: exe, dll, so, class,...
Common extensions for text file formats:
• Web standards: html, xml, css, svg, json,...
• Source code: c, cpp, h, cs, js, py, java, rb, pl, php, sh,...
• Documents: txt, tex, markdown, asciidoc, rtf, ps,...
• Configuration: ini, cfg, rc, reg,...
• Tabular data: csv, tsv,...

8. Files in Python
• File Paths:
• When you access a file on an operating system, a file path is
required. The file path is a string that represents the location of
a file. It’s broken up into three major parts:
• Folder Path: The file folder location on the file system where
subsequent folders are separated by a forward slash / (Unix) or
backslash (Windows)
• File Name: the actual name of the file
• Extension: the end of the file path pre-pended with a period (.)
used to indicate the file type

9. Files in python
• C:UsersKLEBCA-2DesktopDesktop Fileslesson_plan
• In Windows use backslash () and in Linux use forward slash (/)
to separate the components of a path.
• The backslash (or forward slash) separates one directory name
from another directory name in a path and it also divides the
file name from the path leading to it.
• Backslash () and forward slash (/) are reserved characters and
you cannot use them in the name for the actual file or
directory.

10. Files in python
• http://192.168.2.1:2280/cportal/ip/user_login.php?url=http://
www.msftconnecttest.com/redirect
• File and Directory names in Windows are not case sensitive
while in Linux it is case sensitive.
• For example, the directory names ORANGE, Orange, and orange
are the same in Windows but are different in Linux Operating
System.
• In Windows, volume designators (drive letters) are case-
insensitive. For example, "D:" and "d:" refer to the same
drive.

11. Files in python
• The reserved characters that should not be used in naming files
and directories are < (less than), > (greater than),: (colon), "
(double quote), / (forward slash), (backslash), | (vertical bar or
pipe), ? (question mark) and * (asterisk).
Fully Qualified path and Relative path:
files -- These contain information. Examples include be csv files, or
python files.
directories -- These contain files and directories inside of them
Your filesystem starts from a root directory, notated by a forward
slash / on Unux and by a drive letter C:/ on Windows.

12. Files in python
• Absolute and Relative file paths:
• Absolute file paths are notated by a leading forward slash or
drive label.
• For example,
• /home/example_user/example_directory
• C:/system32/cmd.exe.
• An absolute file path describes how to access a given file or
directory, starting from the root of the file system. A file path is
also called a pathname.
• Relative file paths are notated by a lack of a leading forward
slash. For example, example directory.

13. Files in python

14. Files in python
• Creating and reading text data:
1. opening file:
• We should first open the file for read or write by specifying
the name of file and mode.
2. performing read/write:
• Once the file is opened now we can either read or write for
which file is opened using various functions available.
3. closing file:
• After performing operation we must close the file and
release the file for other application to use it.

15. Files in python
• Open a file:
• We have to open a file using built-in function open()
• This function returns a file object, also called a file handler that
provides methods for accessing the file.
• syntax of open() function is given below.
• file_handler = open(filename, mode)
• file_handler: File handler object returned for filename
• filename: name of the file that we want to access
• accessmode: read, write, append etc

16. Files in python
• Examples of the relative path are given below:
• "..langur.txt" specifies a file named "langur.txt" located in the
parent of the current directory fauna.
• ".bison.txt" specifies a file named "bison.txt" located in a
current directory named fauna.
• "....tiger.txt" specifies a file that is two directories above the
current directory india
• The following figure shows the structure of sample directories
and files

17. Files in python
Opening File:
Ex:
• myfile = open(“story.txt”)
• here disk file “story.txt” is loaded in memory and its
reference is linked to “myfile” object, now python program will
access “story.txt” through “myfile” object.
• here “story.txt” is present in the same folder where .py file
is stored otherwise if disk file to work is in another folder we have
to give full path.

18. Files in python
Opening File:
• myfile = open(“article.txt”,”r”)
• here “r” is for read (although it is by default, other options
are “w” for write, “a” for append)
• myfile = open(“d:mydatapoem.txt”,”r”)
• Here we are accessing “poem.txt” file stored in separate
location i.e. d:mydata folder.
• At the time of giving path of file we must use double
backslash() in place of single backslash because in python single
slash is used for escape character and it may cause problem like if
the folder name is “nitin” and we provide path as
d:nitinpoem.txt then in nitin “n” will become escape character
for new line, SO ALWAYSUSE DOUBLE BACKSLASH IN PATH.

19. Files in python
Opening File:
myfile = open(“d:mydatapoem.txt”,”r”)
• another solution of double backslash is using “r” before
the path making the string as raw string i.e. no special meaning
attached to any character as:
• myfile = open(r“d:mydatapoem.txt”,”r”)
• In the above example “myfile” is the file object or file handle or
file pointer holding the reference of disk file.
• In python we will access and manipulate the disk file through
this file handle only.

20. Files in python
Access modes of the File:
Mode Description
“r” Opens the file in read only mode and this is the default mode.
“w” Opens the file for writing. If a file already exists, then it’ll get overwritten.
If the file does not exist, then it creates a new file.
“a” Opens the file for appending data at the end of the file automatically. If the
file does not exist it creates a new file.
“r+” Opens the file for both reading and writing
“w+” Opens the file for reading and writing. If the file does not exist it creates a
new file. If a file already exists then it will get overwritten.
“a+” Opens the file for reading and appending. If a file already exists, the data is
appended. If the file does not exist it creates a new file.

21. Files in python
Access modes of the File:
Mode Description
“x” Creates a new file. If the file already exists, the operation fails.
“rb” Opens the binary file in read-only mode.
“wb” Opens the file for writing the data in binary format.
“rb+” Opens the file for both reading and writing in binary format.

22. Files in python
Example program:
# Create a file:
fp=open("text12.txt","x")
# Write Data in file:
fp=open("text12.txt","w")
fp.write ('hi there, this is a first line of file.')
# Read Data from file:
fp=open("text12.txt","r")
for each_row in fp:
print(each_row)
# Append Data in file:
fp=open("text12.txt","a")
fp.write('klebca n')
fp=open("text12.txt","r")
for each_row in fp:
print(each_row)
fp.close()
Output:
hi there, this is a first line of file.
hi there, this is a first line of file.klebca

23. Files in python
Closing file:
 As reference of disk file is stored in file handler so to close we must call
the close() function through the file handler and release the file.
 File closing is done with close() method.
 Syntax:
 fileobject.close()
• Note: open function is built-in function used standalone while close()
must be called through file handle
Ex:
f=open("text34.txt","r+")
print("Name of the file:",f.name)
f.close()
print("File closed")
Output:
Name of the file:
text34.txt
File closed

24. Files in python
• If an exception occurs while performing some operation on the file, then
the code exits without closing the file.
• In order to overcome this problem, you should use a try-except- finally
block to handle exceptions.
• For example,
 You should not be writing to the file in the finally block, as any
exceptions raised there will not be caught by the except block.
 The except block executes if there is an exception raised by the try block.
 The finally block always executes regardless of whatever happens.
Ex:
try:
f = open("files_related.txt", "w")
try:
f.write('Hello World!')
finally:
f.close()
except IOError:
print('oops!')

25. Files in python
Use of “with” statement to open and close files:
• Instead of using try-except-finally blocks to handle file opening and closing
operations, a much cleaner way of doing this in Python is using the with
statement.
• You can use a with statement in Python such that you do not have to close
the file handler object.
Example: opening a file, manipulating a file and closing it with
open(“output.txt”,”w”) as f:
f.write(“Hello Python!”)
• The with statement creates a context manager and it will automatically close
the file handler object for you when you are done with it, even if an
exception is raised on the way, and thus properly managing the resources.

26. Files in python
Use of “with” statement to open and close files:
Ex:
file_input = input('File Name: ')
with open(file_input, 'w') as info:
for x in range(10):
info.write('klebca n')
with open(file_input, 'r') as info:
data=info.read()
print(data)
File Name:
withtext.txt
klebca
klebca
klebca
klebca
klebca
klebca
klebca
klebca
klebca
klebca

27. Files in python
File Object Attributes
Once a file is opened , we have one file object, which contain various info
related to that file.
1. file.closed – Returns true if the file is closed, False otherwise
2. file.mode – Returns access mode with wich file was opened
3. file.name- Name of the file
Ex:
f=open("text.txt","w")
print("Name of the file:",f.name)
print("Closed or not :",f.closed)
print("Opening mode :",f.mode)
Output:
Name of the file: text.txt
Closed or not : False
Opening mode : w

28. File Methods to Read and Write Data:
Method Syntax Description
read() File_handler.read([size]) Used to read the contents of a file up to the size and return it as a
string
readline() File_handler.readline() This method is used to read a single line
readlines() File_handler.readlines() This method is used to read all the lines of a file as list items.
write() File_handler.write(string) This method will write the contents of the strings to the file.
writelines() File_handle.writelines(sequen
ce)
This method will write a sequence of strings to the file
tell() File_handler.tell() File handler’s current position within the file is measured in bytes
from the beginning of the file
seek() File_handler.seek(offset,
from_what)
Change the file handler’s position. Position is computed by adding
offset to reference point. Reference point is selected by the
from_what argument.

29. File Methods to Read and Write Data:
Ex:
f=open("class1.txt","r")# opening a file
line1 = f.readline() # reading a line
print(line1)
line2 = f.readline() # reading a line
print(line2)
line3 = f.readline() # reading a line
print(line3)
line4 = f.readline() # reading a line
print(line4)
lines=f.readlines()
print(list(lines))
for ch in line1:
print(ch)
f.close()
Output:
One
Two
Three
['fiven', 'sixn', 'sevenn', 'eightn']
O
n
e

30. ..
writelines():
Ex:
f = open("class1.txt", “w")
f.writelines(["See you soon!", "Over and out."])
f.close()
#open and read the file after the appending:
f = open("class1.txt", "r")
print(f.read())
f.close()
Output:
See you soon!Over and out.

31. ..
writelines():
Ex:
f = open("class1.txt", “w")
f.writelines(["See you soon!", "Over and out."])
f.close()
#open and read the file after the appending:
f = open("class1.txt", "r")
print(f.read())
fseek(5,0)
print(f.read())
f.close()
Output:
See you soon!Over and out.
ou soon!Over and out.

32. ..
Read Binary File:
#Opening a binary File in Read Only Mode
with open(r'C:Testslick.bin', mode='rb') as binaryFile:
lines = binaryFile.readlines()
print(lines)
We are reading all the lines in the file in the lines variable above and print all the
lines read in form of a list.
Write Binary File
#Opening a binary File in Write Mode
with open('C:TestTestBinaryFile.bin', mode='wb') as binaryFile:
#Assiging a Binary String
lineToWrite = b'You are on Banglore.'
#Writing the binary String to File.
binaryFile.write(lineToWrite)
#Closing the File after Writing
binaryFile.close()

33. Reading and Writing CSV Files:
• CSV FILES:
• A CSV (Comma Separated Values) format is one of the most
simple and common ways to store tabular data. To represent a
CSV file, it must be saved with the .csv file extension.
• The csv module in Python’s standard library presents classes and
methods to perform read/write operations on CSV files.

34. Characteristics of the CSV format
• Characteristics of the CSV format are:
• Each record is located on a separate line, delimited by a line break (CRLF)
• A line break may or may not be present at the end of the last record in the
file.
• Optional header line may appear as the first line of the file.
• Commas are to be used to separate the fields in each record. Each line
should have the same number of fields throughout the file.
• Double quotes may or may not be used to enclose each field.

35. Reading and Writing CSV (Comma Separated Values) Files
• To readfrom a csv file use csv.reader() method. The synatx is,
• csv.reader(csvfile)
where csv is the module name and csvfile is the file object. This returns a
csv reader object which will iterate over lines in the given csvfile.
To write to a csv file use csv.writer() method. The synatx is,
• csv.writer(csvfile)
• This method returns a csv writer object responsible for converting the
user’s data into comma separated strings on the given file like object.
• The syntax for writerow() method is,
• csvwriter.writerrow(row)
• csvwriter is the object returned by writer() method and writerow() method
will write the row argument to the writer() method’s file object.

36. Reading and Writing CSV (Comma Separated Values) Files
The syntax for writerows() method is,
• csvwriter.writerows(rows):
• writerows() method will write all the rows argument to the writer()
method’s file object.
The syntax for DictReader is,
• Class csv.DictReader(f,fieldnames=None, restkey=None)
• Creates an object that operates like a regular reader but maps the
information in each row to an OrderedDict.
The syntax for DictWriter is,
• Class csv.DictWriter(f, fieldnames, extrasaction=‘raise’)
• Creates an object that operates like a regular writer but maps the
dictionaries onto output rows..