pyUSID.io.hdf_utils.simple.validate_anc_h5_dsets

pyUSID.io.hdf_utils.simple.validate_anc_h5_dsets(h5_inds, h5_vals, main_shape, is_spectroscopic=True)[source]

Checks ancillary HDF5 datasets against shape of a main dataset. Errors in parameters will result in Exceptions

Parameters:

  • h5_inds (h5py.Dataset) – HDF5 dataset corresponding to the ancillary Indices dataset

  • h5_vals (h5py.Dataset) – HDF5 dataset corresponding to the ancillary Values dataset

  • main_shape (array-like) – Shape of the main dataset expressed as a tuple or similar

  • is_spectroscopic (bool, Optional. Default = True) – set to True if dims correspond to Spectroscopic Dimensions. False otherwise.