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

This version 1.3.20 1.3.19 1.3.18 1.3.17 1.3.16 1.3.15 1.3.14 1.3.13 1.3.12 1.3.11 1.3.10 1.3.9 1.3.8 1.3.7 1.3.6 1.3.5 1.3.4 1.3.3 1.3.2 1.3 1.1

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