Main Features:
- Basic 2D plotting in interactive view boxes
- Line and scatter plots
- Data can be panned/scaled by mouse
- Fast drawing for realtime data display and interaction
- Image display with interactive lookup tables and level control
- Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance)
- Functions for slicing multidimensional images at arbitrary angles (great for MRI data)
- Rapid update for video display or realtime interaction
- 3D graphics system (requires Python-OpenGL bindings)
- Volumetric data rendering
- 3D surface and scatter plots
- Mesh rendering with isosurface generation
- Interactive viewports rotate/zoom with mouse
- Basic 3D scenegraph for easier programming
- Data selection/marking and region-of-interest controls
- Interactively mark vertical/horizontal locations and regions in plots
- Widgets for selecting arbitrary regions from images and automatically slicing data to match
- Easy to generate new graphics
- 2D graphics use Qt's GraphicsView framework which is highly capable and mature.
- 3D graphics use OpenGL
- All graphics use a scenegraph for managing items; new graphics items are simple to create.
- Library of widgets and modules useful for science/engineering applications
- Flowchart widget for interactive prototyping.
Interface similar to LabView (nodes connected by wires). - Parameter tree widget for displaying/editing hierarchies of parameters
(similar to those used by most GUI design applications). - Interactive python console with exception catching.
Great for debugging/introspection as well as advanced user interaction. - Multi-process control allowing remote plotting, Qt signal connection across processes, and very simple in-line parallelization.
- Dock system allowing the user to rearrange GUI components.
Similar to Qt's dock system but a little more flexible and programmable. - Color gradient editor
- SpinBox with SI-unit display and logarithmic stepping
http://www.pyqtgraph.org/
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