matrix2latex | MATLAB matrix to LaTeX table converter

by TheChymera Python Version: 1.10 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | matrix2latex Summary

matrix2latex is a Python library typically used in Template Engine, Latex applications. matrix2latex has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. However matrix2latex has 5 bugs. You can download it from GitHub.

Python/MATLAB matrix to LaTeX table converter, originally by Øystein Bjørndal

Support

Quality

Security

License

Reuse

Support

matrix2latex has a low active ecosystem.

It has 13 star(s) with 6 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 13 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of matrix2latex is 1.10

Quality

matrix2latex has 5 bugs (0 blocker, 0 critical, 3 major, 2 minor) and 62 code smells.

Security

matrix2latex has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

matrix2latex code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

matrix2latex is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

matrix2latex releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 1874 lines of code, 154 functions and 21 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed matrix2latex and discovered the below as its top functions. This is intended to give you an instant insight into matrix2latex implemented functionality, and help decide if they suit your requirements.

Convert a matrix to latex
Close the file
Add a string to the stream
Assert that the key is the right alignment c
Write API docs to outdir
Convert a directory path to a relative URI
Returns True if match_type matches pattern
Discover modules
Mangle docstrings
Get docstring for given object
Convert a matrix to LaTeX
Convert a matrix to a latex file
Return the original format signature
Mangle signature
Create an index file and write it to disk
Render a matplotlib matrix
Call a system command

Get all kandi verified functions for this library.

matrix2latex Key Features

No Key Features are available at this moment for matrix2latex.

matrix2latex Examples and Code Snippets

No Code Snippets are available at this moment for matrix2latex.

Community Discussions

Trending Discussions on matrix2latex

I want to show the LaTeX results in a RMarkdown document when the function produces LaTeX code

QUESTION

I want to show the LaTeX results in a RMarkdown document when the function produces LaTeX code

Asked 2018-Feb-15 at 17:32

When using the library(matlib) in R, I can produce LaTeX code. I want to knit a RMarkdown document and I want the LaTeX result to show and not the LaTeX code.

For example:

...

ANSWER

Answered 2018-Feb-15 at 17:32

You can enclose the result in a displaymath environment (using $$) and use the results='asis' chunk option:

Source https://stackoverflow.com/questions/48772880

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install matrix2latex

You can download it from GitHub.
You can use matrix2latex 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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