pyment | Format and convert Python docstrings and generates patches | Data Manipulation library
kandi X-RAY | pyment Summary
kandi X-RAY | pyment Summary
Format and convert Python docstrings and generates patches
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Top functions reviewed by kandi - BETA
- Run a reST file
- Compute lines before and after
- Generate documentation
- Returns the raw documentation
- Get a list key from a list
- Get a list key from a list of lines
- Get all files from a directory
- Find the next section start line
- Find the next section in the data
- Returns the index of the group key in the group
- Get attribute list
- Add a key to the list
pyment Key Features
pyment Examples and Code Snippets
Community Discussions
Trending Discussions on pyment
QUESTION
I'm using Express as my backend and MongoDB as the data base. My models looks like this:
Pyments:
...ANSWER
Answered 2021-Jan-02 at 19:34You can use aggregation method aggregate(), and below pipeline stages,
$unwind
deconstructpyments
array$group
bypyments.name
and get total sum ofpyment.total
using$sum
QUESTION
I am working on a codebase which uses Google style Python docstrings, and I would like to convert them automagically to numpy style.
Is there an automatic tool for doing so?
A quick Google search reveals pyment, but I'm not sure if that's appropriate.
...ANSWER
Answered 2019-Jul-22 at 10:27pyment
definitely looks like the tool for the job as it states it can convert between numpydoc and google docstrings in both directions.
Currently, the managed styles in input/output are javadoc, one variant of reST (re-Structured Text, used by Sphinx), numpydoc, google docstrings, groups (other grouped style).
QUESTION
At the moment i get the following JSON:
...ANSWER
Answered 2018-Jun-14 at 10:17Change the lines
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyment
You can use pyment like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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