.. _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: https://www.python.org/dev/peps/pep-0484/ """ 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.

If a method has an equivalent function (which is the case for many ndarray methods for example), the function docstring should contain the detailed documentation, and the method docstring should refer to it. Only put brief summary and See Also sections in the method docstring. The method should use a Returns or Yields section, as appropriate. Instances of classes that are part of the NumPy API (for example np.r_ np.c_, np.index_exp, etc.) may require some care.

March 6, 2025 - As we wrap up, let’s tackle a few common questions you might have about working with NumPy docstrings. These are quick but essential points that will make your journey smoother. ... This one’s super simple. Python allows you to access any function’s docstring with the __doc__ attribute.

If your docstring does extend over multiple lines, the closing three quotation marks must be on a line by itself, preferably preceded by a blank line. """ import os # standard library imports first # Do NOT import using *, e.g. from numpy import * # # Import the module using # # import numpy # # instead or import individual functions as needed, e.g # # from numpy import array, zeros # # If you prefer the use of abbreviated module names, we suggest the # convention used by NumPy itself:: import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt # These abbreviated names are not to be used in docstrings; users must # be able to paste and execute docstrings after importing only the # numpy module itself, unabbreviated.

For example, the description for format references the should_plot parameter: Parameters ---------- should_plot : `bool` Plot the fit if `True`. plot_format : `str`, optional Format of the plot when ``should_plot`` is `True`. We organize Python docstrings into sections that appear in a common order. This format is based on the original Numpydoc Style Guide (used by NumPy, SciPy, and Astropy, among other scientific Python packages), though this style guide includes several DM-specific clarifications.

Parameters ---------- num1 : int ... another Examples -------- >>> add(2, 2) 4 >>> add(25, 0) 25 >>> add(10, -10) 0 """ return num1 + num2 · Some standards exist about docstrings, so they are easier to read, and they can be exported to other formats such as html or pdf. The first conventions every Python docstring should follow are defined in PEP-257. As PEP-257 is quite open, and some other standards exist on top of it. In the case of pandas, the numpy docstring ...

This document describes the syntax and best practices for docstrings used with the numpydoc extension for Sphinx. ... For an accompanying example, see example.py. Some features described in this document require a recent version of numpydoc. For example, the Yields section was added in numpydoc 0.6. We mostly follow the standard Python ...

January 31, 2021 - Using numpydoc will also avoid the reStructuredText errors produced by plain Sphinx when it encounters numpy docstring conventions like section headers (e.g. -------------) that sphinx does not expect to find in docstrings. Some features described in this document require a recent version of numpydoc. For example, the Yields section was added in numpydoc 0.6.

These sections should follow numpydoc style. To avoid inconsistencies between PyAnsys libraries, see Docstring formatting rules. The “Examples” section provides one or more small code samples that make usage of a method or function clear. They provide an easy place to start when trying out the API. Here is a sample “Examples” section from a Python ...

February 14, 2025 - See Python Docstrings. Learn about the different types of docstrings & various docstring formats like Sphinx, Numpy, and Pydoc with examples now.

If your docstring does · extend over multiple lines, the closing three quotation marks must be on · a line by itself, preferably preceded by a blank line. · """ · import os # standard library imports first · · # Do NOT import using *, e.g. from numpy import * # # Import the module using · # # import numpy · # # instead or import individual functions as needed, e.g ·

;; with use-package (use-package numpydoc :ensure t :bind (:map python-mode-map ("C-c C-n" . numpydoc-generate))) ;; without (add-to-list 'load-path "/path/to/numpydoc.el") (require 'numpydoc) (define-key python-mode-map (kbd "C-c C-n") #'numpydoc-generate) View customizations without leaving Emacs via M-x customize-group RET numpydoc ... The method used to insert components of the docstring (default is 'prompt).

In the example above, you saw the use of numpy-style docstrings to describe data types that are passed into functions as parameters or into classes as attributes. In a numpy-style docstring you add those types in the Parameters section of the docstring. Below you can see that the parameter num1 and num2 should both be a Python int (integer) value.

For example, if functionA calls functionB, you can mention functionB in the docstring of functionA and provide a link to its documentation if possible. NumPy style docstrings are a powerful tool for documenting Python code, especially in the ...

May 25, 2022 - As so often in the Python world, there are a few best practices on how to do something, in this case how to write docstrings properly. Three main styles have evolved: the traditional style, the Google style, and the NumPy style. I advocate the NumPy style because it is very human-readable (in ...

Save eikonomega/910512d92769b0cc382a09ae4de41771 to your computer and use it in GitHub Desktop. Download ZIP · Very Simple Example of NumPy Style Docstrings · Raw · main.py · This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below.

June 22, 2021 - When using Sphinx in combination with the numpy conventions, you should use the numpydoc extension so that your docstrings will be handled correctly. For example, Sphinx will extract the Parameters section from your docstring and convert it into a field list.

If a method has an equivalent function (which is the case for many ndarray methods for example), the function docstring should contain the detailed documentation, and the method docstring should refer to it. Only put brief summary and See Also sections in the method docstring. The method should use a Returns or Yields section, as appropriate. Instances of classes that are part of the NumPy API (for example np.r_ np.c_, np.index_exp, etc.) may require some care.

For NumPy, this usually means using numpy.ndarray or more specific dtypes like numpy.float64. The names of parameters and variables in the docstring should be descriptive. Avoid using single - letter names like a and b in the docstring if possible. The examples in the docstring should be easy to understand and directly related to the functionality of the function.