HDF5DataModel 0.3.0

A project for handling HDF5 data models

Presentation

This project creates a data model based on HDF5 architecture and simplify writing and reading data from a standardized HDF5 file format. The data model has the following structure:

/ (File group)
    /Dataset (group)
        /Acquisition (group)
            /Acquisition Signal (group)
                /Traces (dataset)
            /Generation Signal (group)
                /Signal (dataset)

Each level has its own default attributes extendable by the user.

Each File can contain multiple Datasets. A Dataset is a collection of Acquisitions of the same nature. For example, a measurement campaign of various samples. An Acquisition is a set of one Generation Signal and multiple Acquisition Signals. Each time the acquisition or generation parameters are modified a new Acquisition is created. An Acquisition Signal (2D) is a set of Traces (1D) that are acquired at the same time. A Generation Signal (1D) contains only one generation signal.

Note : to build the wheel file from this repo, use
pip -wheel . --no-deps -w dist