Visualizing Data¶
yt comes with a number of ways for visualizing one’s data including slices, projections, line plots, profiles, phase plots, volume rendering, 3D surfaces, streamlines, and a google-maps-like interface for exploring one’s dataset interactively.
- How to Make Plots
- Viewing Plots
- Slices & Projections
- Unstructured Mesh Slices
- Additional Notes for Plotting Particle Data
- Plot Customization: Recentering, Resizing, Colormaps, and More
- 1D Profile Plots
- 1D Line Sampling
- 2D Phase Plots
- Probability Distribution Functions and Accumulation
- Particle Plots
- Interactive Plotting
- Saving Plots
- Remaking Figures from Plot Datasets
- Publication-ready Figures
- Using yt’s style with matplotlib
- Plot Modifications: Overplotting Contours, Velocities, Particles, and More
- Using the Manual Plotting Interface
- 3D Visualization and Volume Rendering
- Unstructured Mesh Rendering
- Interactive Data Visualization
- Visualizing Particle Datasets with Firefly
- 3D Surfaces and Sketchfab
- Mapserver - A Google-Maps-like Interface to your Data
- Streamlines: Tracking the Trajectories of Tracers in your Data
- Colormaps
- Geographic Projections and Transforms
- Writing FITS Images