ITER plotting library

A high-level abstract plotting library.

Graphics	GUI
matplotlib	PyQt5, PySide2, PySide6
gnuplot	PyQt5
vtk	PyQt5, PySide2

Requirements

1. python <= 3.11
2. Dependencies: Managed via pyproject.toml.

Installation

Install the package from PyPi:

pip install iplotlib

Usage Example

 from iplotlib.core import Canvas, PlotXY, SimpleSignal
 from iplotlib.qt.gui.iplotQtStandaloneCanvas import QStandaloneCanvas
 import numpy as np
 
 x = np.linspace(-1, 1, 1000)
 y = (1 - x ** 2) + 100 * (2 - x ** 2) ** 2
 
 s = SimpleSignal(label='signal_1', x_data=x, y_data=y)
 
 c = Canvas(rows=3, title='My Iplotlib Canvas')
 
 p = PlotXY()
 p.add_signal(s)
 c.add_plot(p)
 
 app = QStandaloneCanvas('matplotlib', use_toolbar=True)
 app.prepare()
 app.add_canvas(c)
 app.run()

Run examples

iplotlib-qt-canvas -t

Click on canvas menu to switch between examples.

Contributing

1. Fork it!
2. Create your feature branch: git checkout -b my-new-feature
3. Commit your changes: git commit -am 'Add some feature'
4. Push to the branch:git push origin my-new-feature
5. Submit a pull request