struct Module:

This module is there for performing conversions between Python values and C structs which we can represent as Python bytes object in data science. There is a mechanism of format strings to specify the expected layout while packing and unpacking data. The module struct is present in Python 3.x so; these codes will run on Python 3 interpreter.

Struct Functions:

  • Struct.pack()

The syntax is:

This returns a string that contains values that are there in accordance with a given format. The values must be as per the format; otherwise struct.error is comes.

struct in python for data science

  • Struct.unpack()

The syntax is:

This is there for returning the values that are unpack according to given format in 1st argument. This function returns values in the form of tuples having size equal to number of values pass through struct.pack() during packing.

Note: ‘b’ stands for binary in the output.

  • Struct.calcsize()

The syntax for this is given below.

This returns the size of the struct, which corresponds to given format. The function calcsize() is an important one and is necessary for functions like struct.pack_into() and struct.unpack_from(), this requires offset value and buffer as well.

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Note: The order in which the characters are formatted will have an impact on size.

  • Exception struct.error

The exception struct.error is there to describe the wrong in the passing arguments. Whenever a wrong argument is passed, the struct.error will be raised.

  • Struct.pack_into()python for data science
  • Struct.unpack_from()

If you want to know more about struct module in python for data science then you can check this and this as well.

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