HDF5-BLS 1.1.0

A package to unify the storage of Brillouin Light Scattering related data in HDF5 files

The HDF5_BLS package

This package is a part of the HDF5_BLS project. It's purpose is to unify the storage of BLS-related data to a HDF5 file.

Installation

To install the package, you can use pip:

pip install HDF5_BLS

To install the package from source for local development, please refer to the documentation.

Documentation

You can access the documentation of the project at this link or on the dedicated ReadTheDocs page at this link.

Example of usage

from HDF5_BLS import Wrapper

# Create a HDF5 file
wrp = Wrapper(filepath = "path/to/file.h5")

###############################################################################
# Existing code to extract data from a file
###############################################################################
# Storing the data in the HDF5 file (for this example we use a random array)
data = np.random.random((50, 50, 512))
wrp.add_raw_data(data = data, parent_group = "Brillouin", name = "Raw data")

###############################################################################
# Existing code to convert the data to a PSD
###############################################################################
# Storing the Power Spectral Density in the HDF5 file together with the associated frequency array (for this example we use random arrays)
PSD = np.random.random((50, 50, 512))
frequency = np.arange(512)
wrp.add_PSD(data = PSD, parent_group = "Brillouin", name = "Power Spectral Density")
wrp.add_frequency(data = frequency, parent_group = "Brillouin", name = "Frequency")

###############################################################################
# Existing code to fit the PSD to extract shift and linewidth arrays
###############################################################################
# Storing the Power Spectral Density in the HDF5 file together with the associated frequency array (for this example we use random arrays)
shift = np.random.random((50, 50))
linewidth = np.random.random((50, 50))
wrp.add_treated_data(parent_group = "Brillouin", name_group = "Treat_0", shift = shift, linewidth = linewidth)