ndio/convert/hdf5.py
def load(hdf5_filename):
    """
    Import a HDF5 file into a numpy array.

    Arguments:
        hdf5_filename:  A string filename of a HDF5 datafile

    Returns:
        A numpy array with data from the HDF5 file
    """
    # Expand filename to be absolute
    hdf5_filename = os.path.expanduser(hdf5_filename)

    try:
        f = h5py.File(hdf5_filename, "r")
        # neurodata stores data inside the 'cutout' h5 dataset
        data_layers = f.get('image').get('CUTOUT')
    except Exception as e:
        raise ValueError("Could not load file {0} for conversion. {}".format(
                         hdf5_filename, e))
        raise

    return numpy.array(data_layers)
def load(hdf5_filename):
    # Expand filename to be absolute
    hdf5_filename = os.path.expanduser(hdf5_filename)

    try:
        f = h5py.File(hdf5_filename, "r")
        # neurodata stores data inside the 'cutout' h5 dataset
        data_layers = f.get('image').get('CUTOUT')
    except Exception as e:
        raise ValueError("Could not load file {0} for conversion. {}".format(
                         hdf5_filename, e))
        raise

    return numpy.array(data_layers)
def load ( hdf5_filename ) : # Expand filename to be absolute hdf5_filename = os . path . expanduser ( hdf5_filename ) try : f = h5py . File ( hdf5_filename , "r" ) # neurodata stores data inside the 'cutout' h5 dataset data_layers = f . get ( 'image' ) . get ( 'CUTOUT' ) except Exception as e : raise ValueError ( "Could not load file {0} for conversion. {}" . format ( hdf5_filename , e ) ) raise return numpy . array ( data_layers )
Import a HDF5 file into a numpy array.

    Arguments:
        hdf5_filename:  A string filename of a HDF5 datafile

    Returns:
        A numpy array with data from the HDF5 file
Import a HDF5 file into a numpy array .