data_management

The package data_management provides modules for the interaction with the datafiles stored in the archive. The module measurement_management provides CRUD-Functions for the archive, while the hdf5_reader module can be used for reading and updating the measurement.h5-files.

measurement_management

`create_measurement_dir`(base_dir, ms_id)	Create a new directory for a single measurement with the measurement-ID ms_id in the folder of the archive (base_dir).
`new_file_to_archive`(src, base_dir, ms_id, ...)	Copy a file to the archive.
`new_dataset_to_hdf5`(data, hdf5_path, ...)	Write a new dataset to a hdf5-file.
`raw_data_to_folder`(raw_data_path, fmt, ...)	Copy raw datafiles to the archive.
`raw_data_to_hdf5`(base_dir, ms_id, fmt)	Write the data from the raw data datafiles in the archive at <base_dir>/data/M<ms_id>/raw/ to the hdf5-file <base_dir>/data/M<ms_id>/measurement.h5
`delete_element`(base_dir, ms_id, category, ...)	Delete a file from the archive.
`delete_measurement`(base_dir, ms_id[, ...])	Delete a whole measurement directory from the archive.
`list_files`(base_dir, ms_id[, category])	List all files in a single measurement directory with the ID ms_id and all subdirectorys.
`measurement_path`(base_dir, ms_id)	Create the absolute path to a measurement folder with the ID ms_id.

hdf5_reader

`load_h5`(filename[, mode])	Load a hdf5-file as a H5Object.
`load_from_id`(ms_id[, mode])	Load a hdf5-measurement-file from the archive as a H5Object.

H5Object(h5node[, writable, auto_flush])

Represents a hdf5-file with its internal structure and all attributes/ datasets as a python object.