pyNSID.io.hdf_utils¶

Lower-level and simpler NSID-specific HDF5 utilities that facilitate higher-level data operations

Created on Tue Aug 3 21:14:25 2020

@author: Gerd Duscher, and Suhas Somnath

Functions

`ase_from_dictionary`	converts structure dictionary to ase.Atoms object
`check_if_main`	Checks the input dataset to see if it has all the necessary features to be considered a Main dataset.
`find_dataset`	Uses visit() to find all datasets with the desired name :param h5_group: Group to search within for the Dataset :type h5_group: `h5py.Group` :param dset_name: Name of the dataset to search for :type dset_name: str
`get_all_main`	Simple function to recursively print the contents of an hdf5 group :param parent: HDF5 Group to search within :type parent: `h5py.Group` :param verbose: If true, extra print statements (usually for debugging) are enabled :type verbose: bool, optional.
`link_as_main`	Attaches datasets as h5 Dimensional Scales to h5_main
`make_nexus_compatible`	Makes a pyNSID file compatible with the NeXus file format by adding the approbriate attributes and by writing one group.
`read_h5py_dataset`
`validate_h5_dimension`	Validates a dimension already present in an HDF5 file.
`validate_main_and_dims`	Validates the shape of the main dataset against the dictionary of dimensions and the parent HDF5 group into which the data would be written.
`write_pynsid_book_keeping_attrs`	Writes book-keeping information to the HDF5 object