Download
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
nel_h2
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of plot.py!