How to use the larray.read_csv function in larray

def load_ndarray(fpath, celltype=None):
    print(" - reading", fpath)
    # FIXME: implement celltype
    a = la.read_csv(fpath, dialect='liam2')
    # print(a.info)
    return a
    with open(fpath, "rb") as f:
        reader = csv.reader(f)
        line_stream = skip_comment_cells(strip_rows(reader))
        header = line_stream.next()
        str_table = []
        for line in line_stream:
            if any(value == '' for value in line):
                raise Exception("empty cell found in %s" % fpath)
            str_table.append(line)
    ndim = len(header)

    # handle last dimension header (horizontal values)
    last_d_header = str_table.pop(0)
    # auto-detect type of values for the last d and convert them