有没有更好的方法来做到这一点？

Question

我有一个'cellid''date'（datetime）和'block'（real）列的表。

我正试图找到所有在过去3天里block> 1的id。

目前，我正在做这样的：

cells = npar.db.execute("SELECT cellid FROM data WHERE block > 1 AND date=?", (files[0][1],)).fetchall() 
cells1 = npar.db.execute("SELECT cellid FROM data WHERE block >1 AND date = ?", (files[1][1],)).fetchall() 
self.common(cells,cells1) 
cells1 = npar.db.execute("SELECT cellid FROM data WHERE block >1 AND date = ?", (files[2][1],)).fetchall() 
self.common(cells,cells1) 

print len(cells) 
def common(self,a,b): 
    for item in a: 
      if item not in b: 
       a.remove(item) 

b = npar.db.execute("SELECT cellid FROM data WHERE block > 1 AND date >= ? GROUP BY cellid HAVING COUNT(cellid) = 3", (files[2][1],)).fetchall() 
     print len(b) 

LEN（B）不等于LEN（细胞）

Answer 1

“为过去的3天”？所以下面可以工作？

cells = npar.db.execute("SELECT cellid FROM data " 
         "WHERE block > 1 " 
         "AND date >= ? " 
         "GROUP BY cellid " 
         "HAVING COUNT(*) = 3", (files[0][1],)).fetchall()