def read_symbol(filepath):
    with open(filepath, 'rb') as f:
        
        dtype = [('symbol', 'S12'),   #OK
                 ('desc', 'S64'),     # 12:76 OK
                 ('alt', 'S12'),      # 76:88 OK
                 ('base', 'S12'),     # 88:100 OK
                 ('group', 'i4'),     # 100:104 OK
                 ('digits', 'i4'),    # 104:108
                 ('trademode', 'i4'), # 108:112
                 ('bcolor', 'i4'),    # 112:116 OK
                 ('id', 'i4'),        # 116:120
                 ('u1', 'a1508'),     # 120:1628 OK
                 ('u2', 'u4'),        # 1628:1632
                 ('u3', 'a8'),        # 1632:1640
                 ('u4', 'f8'),        # 1640:1648
                 ('u5', 'a12'),       # 1648:1660
                 ('spread', 'i4'),    # 1660:1664
                 ('u6', 'a16'),       # 1664:1680
                 ('swLong', 'f8'),    # 1680:1688
                 ('swShort', 'f8'),   # 1688:1696
                 ('swap3', 'u4'),     # 1696:1700
                 ('u8', 'i4'),        # 1700:1704
                 ('conSize', 'f8'),   # 1704:1712
                 ('u9', 'a16'),       # 1712:1728
                 ('stopLevel', 'u4'), # 1728:1732
                 ('u10', 'a12'),      # 1732:1744
                 ('marginInit', 'f8'),# 1744:1752
                 ('marginMant', 'f8'),  # 1752:1760
                 ('marginHedg', 'f8'),  # 1760:1768 
                 ('marginDiv', 'f8'),   # 1768:1776
                 ('pointPerUnit', 'f8'), # 1776:1784
                 ('u11', 'a24'),         # 1784:1808
                 ('marginCurr', 'S12'),  # 1808:1820
                 ('u12', 'S104'),        # 1820:1924 
                 ('u13', 'i4'),          # 1924:1928
                 ('u14', 'f8')]          # 1928:1936
                
        df = pd.DataFrame(np.frombuffer(f.read(), dtype=dtype).astype(dtype))
        dropnames=[]
        for x in range(1,15):
            dropnames.append('u'+str(x))   
        del dropnames[6:7]
        dropnames.append("desc")
        dropnames.append("alt")
        dropnames.append("marginCurr")        
        df=df.drop(dropnames, axis=1)
        return df