Plotting library with descriptive approach

Plotter

• in html: make html-readme then open README.html in web browser, firefox README.html for instance.
• in pdf: make pdf-readme

Description

Plotter is a plotting library based on matplotlib. It intends to simplify the plotting of data in Python by creating a descriptive approach for plots. The plots can be static or dynamic.

Source code location

https://github.com/T-TROUCHKINE/plotter

Prerequisities

Linux packages

• tk :
• ArchLinux : pacman -S tk
• Debian : apt install tk

Python modules

• matplotlib : pip install matplotlib
• tikzplotlib : pip install tikzplotlib
• numpy : pip install numpy

GTK3
For using GTK3 modules: see PyGObject documentation: https://pygobject.readthedocs.io/en/latest/index.html

Installation

From PIP

pip install plotter

From source

python3 setup.py install

Examples

Simplest example:

The code:

import numpy as np
from plotter import Plotter

x = np.linspace(-np.pi, np.pi, 201)

to_plot = [{
"title": "Example",
"type": "plot",
"data": [x, np.sin(x)]
}]

pl = Plotter(to_plot)
pl.show()


Gives:

Multi-plot:

The code:

import numpy as np
from plotter import Plotter

x = np.linspace(-np.pi, np.pi, 201)

to_plot = [{
"title": "Example 1",
"type": "plot",
"data": [x, np.sin(x)]
},
{
"title": "Example 2",
"type": "matrix",
"data": np.random.random((100,100))
}]

pl = Plotter(to_plot, figsuptitle="Multi-plot")
pl.show()


Gives:

Documentation

Online documentation at https://plotter-doc.xyz

Build documentation locally

Command

cd doc
bundle exec jekyll build


Then the documentation is accessible in the doc/_site/ directory. Usable using a web browser for instance: firefox doc/_site/index.html

Project details

Uploaded Source
Uploaded Python 3