Formats
Python docstrings can be written following several formats as the other posts showed. However the default Sphinx docstring format was not mentioned and is based on reStructuredText (reST). You can get some information about the main formats in this blog post.
Note that the reST is recommended by the PEP 287
There follows the main used formats for docstrings.
- Epytext
Historically a javadoc like style was prevalent, so it was taken as a base for Epydoc (with the called Epytext format) to generate documentation.
Example:
"""
This is a javadoc style.
@param param1: this is a first param
@param param2: this is a second param
@return: this is a description of what is returned
@raise keyError: raises an exception
"""
- reST
Nowadays, the probably more prevalent format is the reStructuredText (reST) format that is used by Sphinx to generate documentation. Note: it is used by default in JetBrains PyCharm (type triple quotes after defining a method and hit enter). It is also used by default as output format in Pyment.
Example:
"""
This is a reST style.
:param param1: this is a first param
:param param2: this is a second param
:returns: this is a description of what is returned
:raises keyError: raises an exception
"""
Google has their own format that is often used. It also can be interpreted by Sphinx (ie. using Napoleon plugin).
Example:
"""
This is an example of Google style.
Args:
param1: This is the first param.
param2: This is a second param.
Returns:
This is a description of what is returned.
Raises:
KeyError: Raises an exception.
"""
Even more examples
- Numpydoc
Note that Numpy recommend to follow their own numpydoc based on Google format and usable by Sphinx.
"""
My numpydoc description of a kind
of very exhautive numpydoc format docstring.
Parameters
----------
first : array_like
the 1st param name `first`
second :
the 2nd param
third : {'value', 'other'}, optional
the 3rd param, by default 'value'
Returns
-------
string
a value in a string
Raises
------
KeyError
when a key error
OtherError
when an other error
"""
Converting/Generating
It is possible to use a tool like Pyment to automatically generate docstrings to a Python project not yet documented, or to convert existing docstrings (can be mixing several formats) from a format to an other one.
Note: The examples are taken from the Pyment documentation
Answer from daouzli on Stack OverflowFormats
Python docstrings can be written following several formats as the other posts showed. However the default Sphinx docstring format was not mentioned and is based on reStructuredText (reST). You can get some information about the main formats in this blog post.
Note that the reST is recommended by the PEP 287
There follows the main used formats for docstrings.
- Epytext
Historically a javadoc like style was prevalent, so it was taken as a base for Epydoc (with the called Epytext format) to generate documentation.
Example:
"""
This is a javadoc style.
@param param1: this is a first param
@param param2: this is a second param
@return: this is a description of what is returned
@raise keyError: raises an exception
"""
- reST
Nowadays, the probably more prevalent format is the reStructuredText (reST) format that is used by Sphinx to generate documentation. Note: it is used by default in JetBrains PyCharm (type triple quotes after defining a method and hit enter). It is also used by default as output format in Pyment.
Example:
"""
This is a reST style.
:param param1: this is a first param
:param param2: this is a second param
:returns: this is a description of what is returned
:raises keyError: raises an exception
"""
Google has their own format that is often used. It also can be interpreted by Sphinx (ie. using Napoleon plugin).
Example:
"""
This is an example of Google style.
Args:
param1: This is the first param.
param2: This is a second param.
Returns:
This is a description of what is returned.
Raises:
KeyError: Raises an exception.
"""
Even more examples
- Numpydoc
Note that Numpy recommend to follow their own numpydoc based on Google format and usable by Sphinx.
"""
My numpydoc description of a kind
of very exhautive numpydoc format docstring.
Parameters
----------
first : array_like
the 1st param name `first`
second :
the 2nd param
third : {'value', 'other'}, optional
the 3rd param, by default 'value'
Returns
-------
string
a value in a string
Raises
------
KeyError
when a key error
OtherError
when an other error
"""
Converting/Generating
It is possible to use a tool like Pyment to automatically generate docstrings to a Python project not yet documented, or to convert existing docstrings (can be mixing several formats) from a format to an other one.
Note: The examples are taken from the Pyment documentation
The Google style guide contains an excellent Python style guide. It includes conventions for readable docstring syntax that offers better guidance than PEP-257. For example:
def square_root(n):
"""Calculate the square root of a number.
Args:
n: the number to get the square root of.
Returns:
the square root of n.
Raises:
TypeError: if n is not a number.
ValueError: if n is negative.
"""
pass
I like to extend this to also include type information in the arguments, as described in this Sphinx documentation tutorial. For example:
def add_value(self, value):
"""Add a new value.
Args:
value (str): the value to add.
"""
pass
How do YOU format docstrings
How should I specify the docstring format?
What's the best guide/model to writing good docstrings for modules/classes/methods?
A case for better Python docstrings
The varname::type syntax seems a bit unnecessary when Python 3 already has type hints/annotations in the form of PEP 484 and PEP 526. The existing PEP syntax also has the advantage of being understood by current IDEs and tools such as pylint.
I guess this would be useful for Python 2 as it doesn't have type hints, but the :: symbol still looks kind of foreign in Python.