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Produce publication-level quality images on top of Matplotlib

Project description

Erwan Pannier - EM2C Laboratory, CentraleSupélec / CNRS UPR 288

Description

Produce publication-level quality images on top of Matplotlib, with a simple call to couple functions at the start and end of your script.

Project GitHub page

For similar librairies, see seaborn, which also add neat high-end API to Matplotlib function calls.

Use

At the beginning of the script, call:

set_style()

After each new axe is plotted, call:

fix_style()

Note that importing publib will already load the basic style.

A few more styles (‘poster’, ‘article’, etc.) can be selected with the function set_style()

Because some matplotlib parameters cannot be changed before the lines are plotted, they are called through the function fix_style() which:

  • changes the minor ticks

  • remove the spines

  • turn the legend draggable by default

Examples

#!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
import publib
a = np.linspace(0,6.28)
plt.plot(a,np.cos(a))   # plotted by publib 'default' style
plt.show()

publib.set_style('article')
plt.plot(a,a**2)
publib.fix_style('article')
plt.show()

Run the _test() routine in publib.py for more examples.

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