循环和连接行

Question

我放置了所有代码，但是您可以专注于循环，该循环附加在数组中。我想获取同一数据框中的所有数据，然后进行一些计算。您能帮忙获得所需的输出吗？

代码：

for zipname in zipList:
  archive = zipfile.ZipFile(zipname)
  fileList = archive.namelist()

  df = []
  for fileName in fileList:
    if fileName.endswith('.txt'):
        archive.extract(fileName)
        p_id = re.search('product_(.+?)_snapshot', fileName).group(1)
        p_id = int(p_id)

        data = pd.read_csv(fileName, lineterminator= str(']'), low_memory= False, error_bad_lines=False, header= None)#, names= ['a','d','f','r','y','h','n','m','k'])

        new = data[1].str.split("[", n = 1, expand = True)
        data[1]= new[0]
        data[10]= new[1]
        data.drop(data.index[-1], inplace=True)
        data[10]= new[1].str.strip('[').str.strip('"')
        data['id'] = p_id

        data = data.loc[:,[1,2,10,'id']]
        #print(data)
        data[1] = data[1].replace(r'^\s*$', np.nan, regex=True)
        data = data.ffill()
        data = data.set_index([1]).drop(index= 'bids:').reset_index()
        idx = (data[10].astype('float') - (data[10].astype('float')[0] * 1.05)).abs().idxmin()
        csdf = data[2].cumsum()
        data[2] = csdf
        final = pd.DataFrame(data.iloc[idx]).transpose().rename(columns= {'p_id': "id"})
        final['id']= final['id'].astype(int)
        #print(final)
        df.append(final)

  df = pd.concat(df, axis = 0)            
  print(df)

当前输出样本：

      1        2          10  id
1278  asks:  96965.4  2228.31344  31
      1       2       10  id
23  asks:  197716  1.07176  62
      1            2       10  id
70  asks:  1.24412e+06  0.43061  84
      1        2               10  id
176  asks:  184.386  135927785.19000  11

所需的输出：

             1           2               10        id
1278     asks:     96965.4       2228.31344        31
23       asks:      197716          1.07176        62
70       asks: 1.24412e+06          0.43061        84
176      asks:     184.386  135927785.19000        11

编辑：解决方案：

解决方案是在第一次循环之前输入df = []