在进行数据操作时，经常会根据条件批量的修改数据，如以下数据，按照日期的条件，将部门日期下的promotion改为1

tot_qty price date price_delta1 price_delta2 price_delta3 promotion created_date 20160419 1.0 5.410000 20160419 NaN NaN NaN 0 20161111 96.0 5.400000 20161111 -0.010000 NaN NaN 1 20161123 1.0 7.500000 20161123 2.100000 2.090000 NaN 0 20161213 5.0 7.500000 20161213 0.000000 2.100000 2.090000 0 20161226 37.0 6.258571 20161226 -1.241429 -1.241429 0.858571 0

方法：遍历每一行，判断条件，执行修改

for i in range(len(data)): line=data.iloc[i,:] if line['date']in (20170416,20170417,20170418,20170616,20170617,20170618,20170816,20170817,20170818,20171109,20171110,20171111): data[i:i+1]['promotion']=1

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