Python Docstrings
Python documentation strings (or docstrings) provide a convenient way of associating documentation with Python modules, functions, classes, and methods.
It’s specified in source code that is used, like a comment, to document a specific segment of code. Unlike conventional source code comments, the docstring should describe what the function does, not how.
What should a docstring look like?
- The doc string line should begin with a capital letter and end with a period.
- The first line should be a short description.
- If there are more lines in the documentation string, the second line should be blank, visually separating the summary from the rest of the description.
- The following lines should be one or more paragraphs describing the object’s calling conventions, its side effects, etc.
Declaring Docstrings: The docstrings are declared using ”’triple single quotes”’ or “””triple double quotes””” just below the class, method or function declaration. All functions should have a docstring.
Accessing Docstrings: The docstrings can be accessed using the __doc__ method of the object or using the help function.
The below examples demonstrates how to declare and access a docstring.
Example 1: Using triple single quotes
def my_function(): '''Demonstrates triple double quotes docstrings and does nothing really.''' return None print ( "Using __doc__:" ) print (my_function.__doc__) print ( "Using help:" ) help (my_function) |
Output:
Using __doc__: Demonstrates triple double quotes docstrings and does nothing really. Using help: Help on function my_function in module __main__: my_function() Demonstrates triple double quotes docstrings and does nothing really.
Example 2: Using triple double quotes
def my_function(): """Demonstrates triple double quotes docstrings and does nothing really.""" return None print ( "Using __doc__:" ) print (my_function.__doc__) print ( "Using help:" ) help (my_function) |
Output:
Using __doc__: Demonstrates triple double quotes docstrings and does nothing really. Using help: Help on function my_function in module __main__: my_function() Demonstrates triple double quotes docstrings and does nothing really.
One-line Docstrings
As the name suggests, one line docstrings fit in one line. They are used in obvious cases. The closing quotes are on the same line as the opening quotes. This looks better for one-liners.
For example:
def power(a, b): """Returns arg1 raised to power arg2.""" return a * * b print (power.__doc__) |
Output:
Returns arg1 raised to power arg2.
Multi-line Docstrings
Multi-line docstrings consist of a summary line just like a one-line docstring, followed by a blank line, followed by a more elaborate description. The summary line may be on the same line as the opening quotes or on the next line.
The example below shows a multi-line docstring.
def my_function(arg1): """ Summary line. Extended description of function. Parameters: arg1 (int): Description of arg1 Returns: int: Description of return value """ return arg1 print (my_function.__doc__) |
Output:
Summary line. Extended description of function. Parameters: arg1 (int): Description of arg1 Returns: int: Description of return value
Indentation in Docstrings
The entire docstring is indented the same as the quotes at its first line. Docstring processing tools will strip a uniform amount of indentation from the second and further lines of the docstring, equal to the minimum indentation of all non-blank lines after the first line. Any indentation in the first line of the docstring (i.e., up to the first newline) is insignificant and removed. Relative indentation of later lines in the docstring is retained.
Docstrings in Classes
Let us take an example to show how to write docstrings for a class and its methods. help is used to access the docstring.
class ComplexNumber: """ This is a class for mathematical operations on complex numbers. Attributes: real (int): The real part of complex number. imag (int): The imaginary part of complex number. """ def __init__( self , real, imag): """ The constructor for ComplexNumber class. Parameters: real (int): The real part of complex number. imag (int): The imaginary part of complex number. """ def add( self , num): """ The function to add two Complex Numbers. Parameters: num (ComplexNumber): The complex number to be added. Returns: ComplexNumber: A complex number which contains the sum. """ re = self .real + num.real im = self .imag + num.imag return ComplexNumber(re, im) help (ComplexNumber) # to access Class docstring help (ComplexNumber.add) # to access method's docstring |
Output:
Help on class ComplexNumber in module __main__: class ComplexNumber | This is a class for mathematical operations on complex numbers. | | Attributes: | real (int): The real part of complex number. | imag (int): The imaginary part of complex number. | | Methods defined here: | | __init__(self, real, imag) | The constructor for ComplexNumber class. | | Parameters: | real (int): The real part of complex number. | imag (int): The imaginary part of complex number. | | add(self, num) | The function to add two Complex Numbers. | | Parameters: | num (ComplexNumber): The complex number to be added. | | Returns: | ComplexNumber: A complex number which contains the sum. Help on method add in module __main__: add(self, num) unbound __main__.ComplexNumber method The function to add two Complex Numbers. Parameters: num (ComplexNumber): The complex number to be added. Returns: ComplexNumber: A complex number which contains the sum.
The difference between Python comments and docstrings
You all must have got an idea about Python docstrings but have you ever wondered what is the difference between Python comments and docstrings. Let’s have a look at them.
Python Comments are the useful information that the developers provide to make the reader understand the source code. It explains the logic or a part of it used in the code. It is written by using #
symbol.
Example:
# Python program to demonstrate comments print ( "GFG" ) |
Output:
GFG
Whereas Python Docstrings as mentioned above provides a convenient way of associating documentation with Python modules, functions, classes, and methods.
Last Updated on October 28, 2021 by admin