iter-mint 1.4.1

A Python Qt application for ITER Data Visualtization using the iplotlib framework

Description

This project contains example usage of the iterplot libary in a Qt application. The Qt application allows to select a set of UDA variables and the plot them using either matplotlib or PyQtGraph graphics library. Following features are currently supported:

• Plotting multiple graphs in a row/column layout
• Plotting multiple signals in one plot (either stacked or not) by using the ROW.COLUMN.STACK format
• Support for Pan/Zoom/Crosshair/Distance/Markers
• Support for automatically downloading UDA data (for continous signals - currently Matplotlib only)
• Support for basic data processing. See iplotProcessing
• Customize appearance and styling of canvas, plots, axes, fonts, lines in a cascading manner.*
• Computation of different statistical metrics for the displayed signals.
• Export of canvas data to CSV format.
• Export of canvas data and MINT tables to .h5 or .parquet formats

Installation

Install the package from PyPi:

pip install iter-mint

Run the app

mint

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