大家好，提前致谢。
我正在尝试将财务数据定期存储到数据库中以供以后查询。我使用 Pandas 进行几乎所有的数据编码。我想将我创建的数据框附加到 HDF 数据库中。我将 csv 读入数据帧并按时间戳对其进行索引。和 DataFrame 看起来像：
<class 'pandas.core.frame.DataFrame'>
Int64Index: 900 entries, 1378400701110 to 1378410270251
Data columns (total 23 columns):
....
...Columns with numbers of non-null values....
.....
dtypes: float64(19), int64(4)
store = pd.HDFStore('store1.h5')
store.append('df', df)
print store
<class 'pandas.io.pytables.HDFStore'>
File path: store1.h5
/df frame_table (typ->appendable,nrows->900,ncols->23,indexers->[index])
但是当我尝试对商店做任何事情时，
print store['df']
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.7/dist-packages/pandas/io/pytables.py", line 289, in __getitem__
return self.get(key)
File "/usr/local/lib/python2.7/dist-packages/pandas/io/pytables.py", line 422, in get
return self._read_group(group)
File "/usr/local/lib/python2.7/dist-packages/pandas/io/pytables.py", line 930, in _read_group
return s.read(**kwargs)
File "/usr/local/lib/python2.7/dist-packages/pandas/io/pytables.py", line 3175, in read
mgr = BlockManager([block], [cols_, index_])
File "/usr/local/lib/python2.7/dist-packages/pandas/core/internals.py", line 1007, in __init__
self._set_ref_locs(do_refs=True)
File "/usr/local/lib/python2.7/dist-packages/pandas/core/internals.py", line 1117, in _set_ref_locs
"does not have _ref_locs set" % (block,labels))
AssertionError: cannot create BlockManager._ref_locs because block
[FloatBlock: [LastTrade, Bid1, Bid1Volume,....., Ask5Volume], 19 x 900, dtype float64]
with duplicate items
[Index([u'LastTrade', u'Bid1', u'Bid1Volume',..., u'Ask5Volume'], dtype=object)]
does not have _ref_locs set
我想我在索引上做错了，我对此很陌生，几乎没有什么诀窍。
编辑：
数据框结构如下：
columns = ['TimeStamp', 'LastTrade', 'Bid1', 'Bid1Volume', 'Bid1', 'Bid1Volume', 'Bid2', 'Bid2Volume', 'Bid3', 'Bid3Volume', 'Bid4', 'Bid4Volume',
'Bid5', 'Bid5Volume', 'Ask1', 'Ask1Volume', 'Ask2', 'Ask2Volume', 'Ask3', 'Ask3Volume', 'Ask4', 'Ask4Volume', 'Ask5', 'Ask5Volume']
df = pd.read_csv('/20130905.csv', names=columns, index_col=[0])
df.head() 看起来像：
<class 'pandas.core.frame.DataFrame'>
Int64Index: 5 entries, 1378400701110 to 1378400703105
Data columns (total 21 columns):
LastTrade 5 non-null values
Bid1 5 non-null values
Bid1Volume 5 non-null values
Bid1 5 non-null values
.................values
Ask4 5 non-null values
Ask4Volume 5 non-null values
dtypes: float64(17), int64(4)
列太多，无法打印出内容。但例如：
print df['LastTrade'].iloc[10]
LastTrade 1.31202
Name: 1378400706093, dtype: float64
和熊猫版本：
>>> pd.__version__
'0.12.0'
任何想法将不胜感激，再次感谢您。