This module performs conversions between Python values and C structs represented as Python bytes objects. Format strings are the mechanism used to specify the expected layout when packing and unpacking data. Module struct is available in Python 3.x and not on 2.x, thus these codes will run on Python3 interpreter.
Struct Functions
- struct.pack()
Syntax: struct.pack(format, v1, v2, ...)
Return a string containing the values v1, v2, … , that are packed according to the given format (Format strings are the mechanism used to specify the expected layout when packing and unpacking data).The values followed by the format must be as per the format only, else struct.error is raised.
importstruct# Format: h is short in C type# Format: l is long in C type# Format 'hhl' stands for 'short short long'var=struct.pack('hhl',1,2,3)print(var)# Format: i is int in C type# Format 'iii' stands for 'int int int'var=struct.pack('iii',1,2,3)print(var)chevron_rightfilter_noneOutput:
b'\x01\x00\x02\x00\x00\x00\x00\x00\x03\x00\x00\x00\x00\x00\x00\x00' b'\x01\x00\x00\x00\x02\x00\x00\x00\x03\x00\x00\x00'
- struct.unpack()
Syntax: struct.unpack(fmt, string)
Return the values v1, v2, … , that are unpacked according to the given format(1st argument). Values returned by this function are returned as tuples of size that is equal to the number of values passed through struct.pack() during packing.
importstruct# '?' -> _BOOL , 'h' -> short, 'i' -> int and 'l' -> longvar=struct.pack('?hil',True,2,5,445)print(var)# struct.unpack() return a tuples# Variables V1, V2, V3,.. are returned as elements of tupletup=struct.unpack('?hil', var)print(tup)# q -> long long int and f -> floatvar=struct.pack('qf',5,2.3)print(var)tup=struct.unpack('qf', var)print(tup)chevron_rightfilter_noneOutput:
b'\x01\x00\x02\x00\x05\x00\x00\x00\xbd\x01\x00\x00\x00\x00\x00\x00' (True, 2, 5, 445) b'\x05\x00\x00\x00\x00\x00\x00\x0033\x13@' (5, 2.299999952316284)
Note: ‘b’ in the Output stands for binary.
- struct.calcsize()
Syntax: struct.calcsize(fmt) fmt: format
Return the size of the struct (and hence of the string) corresponding to the given format. calcsize() is important function, and is required for function such as struct.pack_into() and struct.unpack_from(), which require offset value and buffer as well.
importstructvar=struct.pack('?hil',True,2,5,445)print(var)# Returns the size of the structureprint(struct.calcsize('?hil'))print(struct.calcsize('qf'))chevron_rightfilter_noneOutput:
b'\x01\x00\x02\x00\x05\x00\x00\x00\xbd\x01\x00\x00\x00\x00\x00\x00' 16 12
importstructvar=struct.pack('bi',56,0x12131415)print(var)print(struct.calcsize('bi'))var=struct.pack('ib',0x12131415,56)print(var)print(struct.calcsize('ib'))chevron_rightfilter_noneOutput:
b'8\x00\x00\x00\x15\x14\x13\x12' 8 b'\x15\x14\x13\x128' 5
Note: The ordering of format characters may have an impact on size.
- Exception struct.error
Exception struct.error describes what is wrong at passing arguments, when a wrong argument is passed struct.error is raised.fromstructimporterrorprint(error)chevron_rightfilter_noneNote: This is piece of code is not useful, anywhere other than exception handling, and is used to show that ‘error’ upon interpreted shows about the class.
- struct.pack_into()
Syntax: struct.pack_into(fmt, buffer, offset, v1, v2, ...) fmt: data type format buffer: writable buffer which starts at offset (optional) v1,v2.. : values
- struct.unpack_from()
Syntax: struct.unpack_from(fmt, buffer[,offset = 0])fmt: data type format buffer: writable buffer which starts at offset (optional)
Returns a tuple, similar to struct.unpack()
importstruct# ctypes in imported to create string bufferimportctypes# SIZE of the format is calculated using calcsize()siz=struct.calcsize('hhl')print(siz)# Buffer 'buff' is createdbuff=ctypes.create_string_buffer(siz)# struct.pack() returns packed data# struct.unpack() returns unpacked datax=struct.pack('hhl',2,2,3)print(x)print(struct.unpack('hhl', x))# struct.pack_into() packs data into buff, doesn't return any value# struct.unpack_from() unpacks data from buff, returns a tuple of valuesstruct.pack_into('hhl', buff,0,2,2,3)print(struct.unpack_from('hhl', buff,0))chevron_rightfilter_noneOutput:
16 b'\x02\x00\x02\x00\x00\x00\x00\x00\x03\x00\x00\x00\x00\x00\x00\x00' (2, 2, 3) (2, 2, 3)
Reference https://docs.python.org/2/library/struct.html
This article is contributed by Piyush Doorwar. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.
Recommended Posts:
- Is sizeof for a struct equal to the sum of sizeof of each member?
- MySQL-Connector-Python module in Python
- twitter-text-python (ttp) module - Python
- Import module in Python
- OS Module in Python with Examples
- Fraction module in Python
- Secrets | Python module to Generate secure random numbers
- Python calendar module | formatmonth() method
- Python | Writing to an excel file using openpyxl module
- Count frequencies of all elements in array in Python using collections module
- Prefix matching in Python using pytrie module
- itertools.combinations() module in Python to print all possible combinations
- OS Path module in Python
- Stack and Queue in Python using queue Module
- Testing in Python using doctest module
- Python | ASCII art using pyfiglet module
- Python | Adjusting rows and columns of an excel file using openpyxl module
- Python | Plotting charts in excel sheet using openpyxl module | Set - 1
- Python | Convert Image to Pdf using img2pdf module
- Python | Plotting charts in excel sheet using openpyxl module | Set – 2

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
