General Data Analysis¶
This documentation describes much of the yt infrastructure for manipulating one’s data to extract the relevant information. Fields, data objects, and units are at the heart of how yt represents data. Beyond this, we provide a full description for how to filter your datasets based on specific criteria, how to analyze chronological datasets from the same underlying simulation or source (i.e. time series analysis), and how to run yt in parallel on multiple processors to accomplish tasks faster.
- Fields in yt
- What are fields?
- What fields are available?
- Using fields to access data
- Accessing Fields without a Field Type
- How are fields implemented?
- Field types known to yt
- Field Plugins
- Field Labeling
- Energy and Momentum Fields
- Magnetic Fields
- Species Fields
- Particle Fields
- Field Parameters
- Gradient Fields
- Relative Vector Fields
- Line of Sight Fields
- General Particle Fields
- Deposited Particle Fields
- Mesh Sampling Particle Fields
- SPH Fields
- Creating Derived Fields
- Data Objects
- Symbolic Units
- Filtering your Dataset
- Generating Processed Data
- Saving Reloadable Data
- Time Series Analysis
- Particle Trajectories
- Parallel Computation With yt
- AstroPy Integrations