viscid.readers.hdf5 module

class viscid.readers.hdf5.FileHDF5(fname, **kwargs)

Bases: viscid.readers.vfile.VFile

this is an abstract-ish class from which other types of hdf5 readers should derrive

SAVE_ONLY = True

save(fname=None, **kwargs)

save an instance of VFile, fname defaults to the name of the file object as read

classmethod save_fields(fname, flds, complevel=0, compression='gzip', compression_opts=None, **kwargs)

save some fields using the format given by the class

class viscid.readers.hdf5.FileLazyHDF5(fname, **kwargs)

Bases: viscid.readers.vfile.VFile

This is for lazy wrapping an h5 file referred to by an xdmf file, or anything else where you want to have a single file instance for a single hdf5 file, but you don’t want any parsing because you already know what’s going to be in the file.

find_item(item)

find_items(item)

get_data(handle)

resolve_path(path, first=False)

class viscid.readers.hdf5.H5pyDataWrapper(fname, loc, comp_dim=None, comp_idx=None, transpose=False)

Bases: viscid.readers.vfile.DataWrapper

comp_dim = None

comp_idx = None

dtype

only ask for this if you really need it; can be a speed problem for large temporal datasets over sshfs

fname = None

loc = None

read_direct(arr, **kwargs)

shape

only ask for this if you really need it; can be a speed problem for large temporal datasets over sshfs

transpose = None