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matlab2tikz is a MATLAB(R) script to convert native MATLAB(R) figures to TikZ/Pgfplots figures that integrate seamlessly in LaTeX documents. To download the official releases and rate matlab2tikz, please visit its page on FileExchange.
Eps2pgf is a PostScript interpreter that converts EPS figures to PGF/TikZ for inclusion in LaTeX documents. The advantage is that all texts are typeset by LaTeX, giving you all the powerful typesetting features and a uniform look of the final document.
pgfplots - A TeX package to draw normal and/or logarithmic plots directly in TeX in two and three dimensions with a user-friendly interface and pgfplotstable - a TeX package to round and format numerical tables. Examples in manuals and/or on web site.
Leveraging the Jupyter interactive widgets framework, jupyter-matplotlib enables the interactive features of matplotlib in the Jupyter notebook and in Jupyterlab. Besides, the figure canvas element is a proper Jupyter interactive widget which can be positioned in interactive widget layouts.
Matplotlib is a Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shell (à la MATLAB or Mathematica), web application servers, and various graphical user interface toolkits.
Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.Online documentation is available at seaborn.pydata.org. Installation requires numpy, scipy, pandas, and matplotlib. Some functions will optionally use statsmodels if it is installed.
Daft is a Python package that uses matplotlib to render pixel-perfect probabilistic graphical models for publication in a journal or on the internet. With a short Python script and an intuitive model-building syntax you can design directed and undirected graphs and save them in any formats that matplotlib supports.
Matplotlib is a python library for making publication quality plots using a syntax familiar to MATLAB users. Matplotlib uses numpy for numerics. Output formats include PDF, Postscript, SVG, and PNG, as well as screen display.
This repository is a collection of different matplotlib plots in IPython notebooks that I needed for my data visualizations. This project is not connected to the gallery on http://matplotlib.org/gallery.html, although there might be some overlap and redundancy.
Note: mpld3 is in the process of switching maintainers: feature requests & bug reports are likely to be delayed. If you are interested in contributing to this project, please contact one of the repository owners. This is an interactive D3js-based viewer which brings matplotlib graphics to the browser. Please visit http://mpld3.github.io for documentation and examples.
This tutorial is a complete re-imagining of how one should teach users the matplotlib library. Hopefully, this tutorial may serve as inspiration for future restructuring of the matplotlib documentation. Plus, I have some ideas of how to improve this tutorial. Please fork and contribute back improvements! Feel free to use this tutorial for conferences and other opportunities for training.
LaTeX is a typesetting program for producing high quality technical documents. Formatting LaTeX documents is difficult and modifying pre-built templates often require extensive knowledge of the template. This repository contains simple LaTeX templates for common documents. Screenshots of each template are available on this webpage, which is automatically created from generate.py. See my other LaTeX projects at bamos/cv and bamos/beamer-snippets. btford/write-good is a naive linter for English prose and works well on LaTeX documents. If write-good is installed, the Makefile's in this project will output a list of warnings and tips for improving writing after building the LaTeX documents.
A clean pandoc LaTeX template to convert your markdown files to PDF or LaTeX. It is designed for lecture notes and exercises with a focus on computer science. The template is compatible with pandoc 2. Install pandoc from http://pandoc.org/. You also need to install LaTeX.