"""Example NumPy style docstrings. This module demonstrates documentation as specified by the `NumPy Documentation HOWTO`_. Docstrings may extend over multiple lines. Sections are created with a section header followed by an underline of equal length. Example ------- Examples can be given using either the ``Example`` or ``Examples`` sections. Sections support any reStructuredText formatting, including literal blocks:: $ python example_numpy.py Section breaks are created with two blank lines. Section breaks are also implicitly created anytime a new section starts. Section bodies *may* be indented: Notes ----- This is an example of an indented section. It's like any other section, but the body is indented to help it stand out from surrounding text. If a section is indented, then a section break is created by resuming unindented text. Attributes ---------- module_level_variable1 : int Module level variables may be documented in either the ``Attributes`` section of the module docstring, or in an inline docstring immediately following the variable. Either form is acceptable, but the two should not be mixed. Choose one convention to document module level variables and be consistent with it. .. _NumPy docstring standard: https://numpydoc.readthedocs.io/en/latest/format.html#docstring-standard """ module_level_variable1 = 12345 module_level_variable2 = 98765 """int: Module level variable documented inline. The docstring may span multiple lines. The type may optionally be specified on the first line, separated by a colon. """ def function_with_types_in_docstring(param1, param2): """Example function with types documented in the docstring. :pep:`484` type annotations are supported. If attribute, parameter, and return types are annotated according to `PEP 484`_, they do not need to be included in the docstring: Parameters ---------- param1 : int The first parameter. param2 : str The second parameter. Returns ------- bool True if successful, False otherwise. """ def function_with_pep484_type_annotations(param1: int, param2: str) -> bool: """Example function with PEP 484 type annotations. The return type must be duplicated in the docstring to comply with the NumPy docstring style. Parameters ---------- param1 The first parameter. param2 The second parameter. Returns ------- bool True if successful, False otherwise. """ def module_level_function(param1, param2=None, *args, **kwargs): """This is an example of a module level function. Function parameters should be documented in the ``Parameters`` section. The name of each parameter is required. The type and description of each parameter is optional, but should be included if not obvious. If ``*args`` or ``**kwargs`` are accepted, they should be listed as ``*args`` and ``**kwargs``. The format for a parameter is:: name : type description The description may span multiple lines. Following lines should be indented to match the first line of the description. The ": type" is optional. Multiple paragraphs are supported in parameter descriptions. Parameters ---------- param1 : int The first parameter. param2 : :obj:`str`, optional The second parameter. *args Variable length argument list. **kwargs Arbitrary keyword arguments. Returns ------- bool True if successful, False otherwise. The return type is not optional. The ``Returns`` section may span multiple lines and paragraphs. Following lines should be indented to match the first line of the description. The ``Returns`` section supports any reStructuredText formatting, including literal blocks:: { 'param1': param1, 'param2': param2 } Raises ------ AttributeError The ``Raises`` section is a list of all exceptions that are relevant to the interface. ValueError If `param2` is equal to `param1`. """ if param1 == param2: raise ValueError('param1 may not be equal to param2') return True def example_generator(n): """Generators have a ``Yields`` section instead of a ``Returns`` section. Parameters ---------- n : int The upper limit of the range to generate, from 0 to `n` - 1. Yields ------ int The next number in the range of 0 to `n` - 1. Examples -------- Examples should be written in doctest format, and should illustrate how to use the function. >>> print([i for i in example_generator(4)]) [0, 1, 2, 3] """ for i in range(n): yield i class ExampleError(Exception): """Exceptions are documented in the same way as classes. The __init__ method may be documented in either the class level docstring, or as a docstring on the __init__ method itself. Either form is acceptable, but the two should not be mixed. Choose one convention to document the __init__ method and be consistent with it. Note ---- Do not include the `self` parameter in the ``Parameters`` section. Parameters ---------- msg : str Human readable string describing the exception. code : :obj:`int`, optional Numeric error code. Attributes ---------- msg : str Human readable string describing the exception. code : int Numeric error code. """ def __init__(self, msg, code): self.msg = msg self.code = code class ExampleClass: """The summary line for a class docstring should fit on one line. If the class has public attributes, they may be documented here in an ``Attributes`` section and follow the same formatting as a function's ``Args`` section. Alternatively, attributes may be documented inline with the attribute's declaration (see __init__ method below). Properties created with the ``@property`` decorator should be documented in the property's getter method. Attributes ---------- attr1 : str Description of `attr1`. attr2 : :obj:`int`, optional Description of `attr2`. """ def __init__(self, param1, param2, param3): """Example of docstring on the __init__ method. The __init__ method may be documented in either the class level docstring, or as a docstring on the __init__ method itself. Either form is acceptable, but the two should not be mixed. Choose one convention to document the __init__ method and be consistent with it. Note ---- Do not include the `self` parameter in the ``Parameters`` section. Parameters ---------- param1 : str Description of `param1`. param2 : list(str) Description of `param2`. Multiple lines are supported. param3 : :obj:`int`, optional Description of `param3`. """ self.attr1 = param1 self.attr2 = param2 self.attr3 = param3 #: Doc comment *inline* with attribute #: list(str): Doc comment *before* attribute, with type specified self.attr4 = ["attr4"] self.attr5 = None """str: Docstring *after* attribute, with type specified.""" @property def readonly_property(self): """str: Properties should be documented in their getter method.""" return "readonly_property" @property def readwrite_property(self): """list(str): Properties with both a getter and setter should only be documented in their getter method. If the setter method contains notable behavior, it should be mentioned here. """ return ["readwrite_property"] @readwrite_property.setter def readwrite_property(self, value): value def example_method(self, param1, param2): """Class methods are similar to regular functions. Note ---- Do not include the `self` parameter in the ``Parameters`` section. Parameters ---------- param1 The first parameter. param2 The second parameter. Returns ------- bool True if successful, False otherwise. """ return True def __special__(self): """By default special members with docstrings are not included. Special members are any methods or attributes that start with and end with a double underscore. Any special member with a docstring will be included in the output, if ``napoleon_include_special_with_doc`` is set to True. This behavior can be enabled by changing the following setting in Sphinx's conf.py:: napoleon_include_special_with_doc = True """ pass def __special_without_docstring__(self): pass def _private(self): """By default private members are not included. Private members are any methods or attributes that start with an underscore and are *not* special. By default they are not included in the output. This behavior can be changed such that private members *are* included by changing the following setting in Sphinx's conf.py:: napoleon_include_private_with_doc = True """ pass def _private_without_docstring(self): pass