如何使用大 pandas 分割键值，从文本文件中获取值？

我有这样的输入文本文件：

I'm having input text file like this :

Input.txt -

1=88|2=1438|3=KKK|4=7.7|5=00|7=66|8=a
1=13|2=1388|3=DDD|4=157.73|6=00|7=08|8=b|9=k

我想拆分这个键和值对，并以下列格式显示：

I want to split this key and value pairs and showing in the format like this :

Output.txt -

index[0]
1     88
2     1438
3     kkk
4     7.7
5     00
6     
7     66
8     a
9    

index[1]
1     13
2     1438
3     DDD
4     157.73
5    
6     00
7     08
8     b
9     k

查看索引[0] 6和9条记录的值为空，因为6在另一列可用，但不在此。像这样在索引[1]第5条记录是空白。

see In the index[0] 6 and 9 th record's values are Blank because 6 is available in the other column but not in this. Like this in index[1] 5th record is Blank.

程序代码

df = pd.read_csv(inputfile, index_col=None, names=['text'])

    #spliting two times with respect to (= & |) and saving into stack
    s = df.text.str.split('|', expand=True).stack().str.split('=', expand=True)

    #giving index's as empty string ('') i.e. for removing
    s.columns = ['idx','']

    #rename_axis(None) for excluding index values  
    dfs = [g.set_index('idx').rename_axis(None) for i, g in s.groupby(level=0)]

    #length for iterating through list
    dfs_length = len(dfs)


    #opening output file
    with open(outputfile + 'output.txt','w') as file_obj:
        i = 0
        while i < dfs_length:
            #index of each column
            s = '\nindex[%d]\n'%i
            #writing index to file
            file_obj.write(str(s))
            #print '\nindex[%d]'%i
            #print dfs[i]
            #wriring actual contents to file
            file_obj.write(str(dfs[i])+'\n')
            i = i + 1

得到这个输出：

output.txt -

index[0]
1     88
2     1438
3     kkk
4     7.7
5     00
7     66
8     a

index[1]
1     13
2     1438
3     DDD
4     157.73
6     00
7     08
8     b
9     k

我只收到可用的记录在输入文本文件中。如何将记录值保留为空白？

I'm getting only that records which are available in the input text files. How can I keep record value as a Blank?