11.0 problems with hd5store  table remove method
I have a hd5store that accumulates data by batch. However the batches overlap and I want to  just add the new rows..  
The data is in a table with a major index of event timestamp. I can assume the new batch has complete data for the first day so all I need to do is to remove all rows with a timestamp >= min_new_date.

I am using python 2.7, pandas  0.11.0.dev-b41dc91  on Windows 7 64bit  and lget the following error however I tried to pass in the date  In this example I hard code the date string to simplify the example.  

dstore = pyt.HDFStore(hdfile)

dstore
Out[39]: 
<class 'pandas.io.pytables.HDFStore'>
File path: Y:\HAVI_MONITORING\Log_Scan_Files\ROPLogHistComp2.h5
/files              series       (shape->[1])  
/logdata            frame_table  (typ->appendable_multi,nrows->1148964,ncols->13,indexers->[index],dc->[FileId,Start,Wob,Start_date,Type_1])
/meta               frame        (shape->[1,1])  
/stores             frame_table  (typ->appendable,nrows->1123,ncols->20,indexers->[index])                                                  
## dstore.remove('logdata','major_axis>=20130327')

Exception                                 Traceback (most recent call last)
<ipython-input-40-9cc7b5a31bc1> in <module>()
----> 1 dstore.remove('logdata','major_axis>=20130327')

C:\Python27\lib\site-packages\pandas\io\pytables.pyc in remove(self, key, where, start, stop)
    546             if not s.is_table:
    547                 raise Exception('can only remove with where on objects written as tables')
--> 548             return s.delete(where = where, start=start, stop=stop)
    549 
    550     def append(self, key, value, columns=None, **kwargs):

C:\Python27\lib\site-packages\pandas\io\pytables.pyc in delete(self, where, *_kwargs)
   2748         # create the selection
   2749         table = self.table
-> 2750         self.selection = Selection(self, where, *_kwargs)
   2751         values = self.selection.select_coords()
   2752 

C:\Python27\lib\site-packages\pandas\io\pytables.pyc in **init**(self, table, where, start, stop, **kwargs)
   3275             self.coordinates = where.values
   3276         else:
-> 3277             self.terms = self.generate(where)
   3278 
   3279             # create the numexpr & the filter

C:\Python27\lib\site-packages\pandas\io\pytables.pyc in generate(self, where)
   3304 
   3305         queryables = self.table.queryables()
-> 3306         return [Term(c, queryables=queryables) for c in where]
   3307 
   3308     def select(self):

C:\Python27\lib\site-packages\pandas\io\pytables.pyc in **init**(self, field, op, value, queryables)
   3132 
   3133         if len(self.q):
-> 3134             self.eval()
   3135 
   3136     def **str**(self):

C:\Python27\lib\site-packages\pandas\io\pytables.pyc in eval(self)
   3158 
   3159         if not self.is_valid:
-> 3160             raise Exception("query term is not valid [%s]" % str(self))
   3161 
   3162         # convert values if we are in the table

Exception: query term is not valid [field->major_axis,op->>=,value->['20130327']]
C:\Python27\lib\site-packages\pandas\io\pytables.pyc in **init**(self, table, where, start, stop, **kwargs)
   3275             self.coordinates = where.values
   3276         else:
-> 3277             self.terms = self.generate(where)
   3278 
   3279             # create the numexpr & the filter

C:\Python27\lib\site-packages\pandas\io\pytables.pyc in generate(self, where)
   3304 
   3305         queryables = self.table.queryables()
-> 3306         return [Term(c, queryables=queryables) for c in where]
   3307 
   3308     def select(self):

C:\Python27\lib\site-packages\pandas\io\pytables.pyc in **init**(self, field, op, value, queryables)
   3132 
   3133         if len(self.q):
-> 3134             self.eval()
   3135 
   3136     def **str**(self):

C:\Python27\lib\site-packages\pandas\io\pytables.pyc in eval(self)
   3158 
   3159         if not self.is_valid:
-> 3160             raise Exception("query term is not valid [%s]" % str(self))
   3161 
   3162         # convert values if we are in the table

Exception: query term is not valid [field->major_axis,op->>=,value->['20130327']]
