The Plot.py project tries to supply a measurement data visualization and treatment framework being easy to use while keeping the freedom for advanced users to execute additional data treatment algorithms.
Plotting is done via gnuplot and the script used to produce the graphs can be exported for later use/changes.
Many raw experimental data types (mostly of x-ray and neutron scattering experiments) are supported with more to be added on user request.
The data treatment includes non-linear fitting, integration and differentiation, peak-finder and more. User python code can be executed in the integrated IPython console.
Features
- Read and process raw experimental data
- Easy to use graphical user interface (GUI)
- 2D (single and multiple scans) and 3D plotting including right units (uses gnuplot)
- IPython console for interactive data treatment
- Non-Linear least square fitting, integration, differentiation, peak-finder
- Plug-In facility
Project Samples
Categories
PhysicsLicense
GNU General Public License version 3.0 (GPLv3)Follow plot.py
You Might Also Like
All-in-One IT Monitoring - No More Blind Spots
Tired of switching between different tools and missing critical alerts? PRTG brings everything together, monitoring your entire IT infrastructure from a single, intuitive interface. Whether it’s servers, switches, printers, or cloud services, you get instant visibility and clear notifications - no technical jargon, no clutter. Set up in minutes, PRTG helps you prevent downtime, reduce stress, and prove your value to your company. Focus on your job, not on chasing issues. Try PRTG and experience true IT peace of mind.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of plot.py!