DPF data structures

DPF uses two main data structures to handle data: Fields and Collections. Therefore, it is important to be aware of how the data is structured in those containers.

The data containers can be:

• Raw data storage structures: Data arrays (a Field for example) or Data Maps (a DataTree for example)

• Collections: a group of same labeled objects from one DPF raw data storage structure (a FieldsContainer for example, that is a group of Fields with the same label)

These tutorials explains how these structures work and how you can manipulate data within.

Data arrays - Fields

This tutorial shows how to create and work with data arrays in PyDPF-Core.

Data Arrays

DPF collections

This tutorial shows how to create and work with some DPF collections: FieldsContainer, MeshesContainer and ScopingsContainer

Coming soon

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