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Plotting library with descriptive approach

Project description

Plotter

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:

First example

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:

Second example

Project details


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Files for plotter, version 1.3.8
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