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
- ArchLinux :
Python modules
- matplotlib :
pip install matplotlib
- matplotlib2tikz :
pip install matplotlib2tikz
- numpy :
pip install numpy
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:
Project details
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