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SciPyPlot

A Python Toolbox for Creating Scientific Article’s Figures

This package offer tools for creating high-quality figures aimed at scientific publications. Currently most of the functions are aimed at plotting curves (e.g., optimization curves).

If you simply have a matrix of data that you want to use, the main function to use is rplot_data. If you already have processed the data and want to plot a curve (and optionally var/std) you can use rplot.

To have more details about the features available on the package have a look at examples.

For simple usage we reccomend to install the master branch.

Master Branch

https://travis-ci.org/robertocalandra/scipyplot.svg?branch=master https://coveralls.io/repos/github/robertocalandra/scipyplot/badge.svg?branch=master Code Health https://badge.fury.io/py/scipyplot.svg

Installation

To install the last stable build we recommend to use:

pip install scipyplot

Development Branch

https://travis-ci.org/robertocalandra/scipyplot.svg?branch=development https://coveralls.io/repos/github/robertocalandra/scipyplot/badge.svg?branch=development Code Health

This branch is experimental and its use is not reccomended unless you know what you are doing.

Installation

To install the development branch you will have to clone the repository and manually install the package. You can do that using:

git clone https://github.com/robertocalandra/scipyplot.git --branch development
cd scipyplot
python setup.py install

Metadata

Release files for scipyplot 0.0.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for scipyplot 0.0.6
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Built distributions (wheels)

Table of built distributions (wheels) for scipyplot 0.0.6
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scipyplot-0.0.6-py3.6.egg Legacy Egg format - - Details
scipyplot-0.0.6-py2.7.egg Legacy Egg format - - Details

Total release size: 95.4 kB

Release files / scipyplot-0.0.6.tar.gz

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Release files / scipyplot-0.0.6-py3.6.egg

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