code: def QA_data_min_resample(min_data, type_='5min'):
      
  
      try:
          min_data = min_data.reset_index().set_index('datetime', drop=False)
      except:
          min_data = min_data.set_index('datetime', drop=False)
  
      CONVERSION = {
          'code': 'first',
          'open': 'first',
          'high': 'max',
          'low': 'min',
          'close': 'last',
          'vol': 'sum',
          'amount': 'sum'
      } if 'vol' in min_data.columns else {
          'code': 'first',
          'open': 'first',
          'high': 'max',
          'low': 'min',
          'close': 'last',
          'volume': 'sum',
          'amount': 'sum'
      }
      resx = pd.DataFrame()
  
      for item in set(min_data.index.date):
          min_data_p = min_data.loc[str(item)]
          n = min_data_p['{} 21:00:00'.format(item):].resample(
              type_,
              base=30,
              closed='right',
              loffset=type_
          ).apply(CONVERSION)
  
          d = min_data_p[:'{} 11:30:00'.format(item)].resample(
              type_,
              base=30,
              closed='right',
              loffset=type_
          ).apply(CONVERSION)
          f = min_data_p['{} 13:00:00'.format(item):].resample(
              type_,
              closed='right',
              loffset=type_
          ).apply(CONVERSION)
  
          resx = resx.append(d).append(f)
  
      return resx.dropna().reset_index().set_index(['datetime', 'code'])
docs: 分钟线采样成大周期
  
  
      分钟线采样成子级别的分钟线
  
  
      time+ OHLC==> resample
      Arguments:
          min {[type]} -- [description]
          raw_type {[type]} -- [description]
          new_type {[type]} -- [description]