Pymicro’s Datasets Tutorial

• Create Dataset
  • I - Create and Open datasets with the SampleData class
• Getting Information on Datasets
  • I - The SampleData Naming system
  • II- Interactively get information on datasets content
  • III - Visualize dataset contents with Vitables
  • IV - Visualize datasets grids and fields with Paraview
  • V - Using command line tools
• Data Items
  • I - Getting data
  • II - HDF5 Groups
  • III - HDF5 attributes
  • IV - Data arrays
  • V - String arrays
  • VI - Structured arrays
  • VII - Removing data items from datasets
• Image Data
  • I - SampleData Image Groups
  • II - Image Groups Data Model
  • III - Creating Image Groups
  • IV - Image Fields data model
  • V - Adding Fields to Image Groups
  • VI - Getting Images and Fields
• Mesh Data
  • I - SampleData Mesh Groups
  • II - Mesh Groups Data Model
  • III - Creating Mesh Groups
  • IV - Mesh Field data model
  • V - Adding Fields to Image Groups
  • VI - Getting Mesh Groups and Mesh Fields
• Data Compression
  • I - Data compression with HDF5 and Pytables
  • II - Compressing your datasets with SampleData
• Custom Data Models
  • I - SampleData derived classes
  • II - A practical example : The Microstructure Class