Loading and Examining Data

Nominally, one should just be able to run yt.load() on a dataset and start computing; however, there may be additional notes associated with different data formats as described below. Furthermore, we provide methods for loading data from unsupported data formats in Loading Generic Array Data, Loading Generic Particle Data, and Loading Spherical Data. Lastly, if you want to examine the raw data for your particular dataset, visit Low-Level Data Inspection: Accessing Raw Data.

• Loading Data
  • Sample Data
  • Archived Data
  • Simple HDF5 Data
  • AMRVAC Data
  • ART Data
  • ARTIO Data
  • Athena Data
  • Athena++ Data
  • Parthenon Data
  • AMReX / BoxLib Data
  • Pluto Data (AMR)
  • Idefix, Pluto VTK and Pluto XDMF Data
  • Enzo Data
  • Enzo-E Data
  • Exodus II Data
  • FITS Data
  • FLASH Data
  • Gadget Data
  • SWIFT Data
  • Arepo Data
  • GAMER Data
  • Generic AMR Data
  • Generic Array Data
  • Semi-Structured Grid Data
  • Stretched Grid Data
  • Unstructured Grid Data
  • Generic Particle Data
  • Gizmo Data
  • Halo Catalog Data
  • openPMD Data
  • PyNE Data
  • RAMSES Data
  • SPH Particle Data
  • Tipsy Data
  • CfRadial Data
• Loading Generic Array Data
  • Generic Unigrid Data
  • Generic AMR Data
  • Species fields
  • Multiple Particle Types
  • Caveats for Loading Generic Array Data
• Loading Generic Particle Data
• Loading Data via Functions
• Loading Spherical Data
  • Loading Data
  • Looking at Data
• Low-Level Data Inspection: Accessing Raw Data
  • Examining Grid Hierarchies
  • Examining Grid Data
  • Finding Data at Fixed Points
  • Examining Grid Data in a Fixed Resolution Array
  • Examining Image Data in a Fixed Resolution Array
  • High-level Information about Particles