如何将列表元素转置/分离到熊猫数据框列中

Question

I am trying to convert my output into a pandas data frame and I am struggling. I have this list which I obtain by reading multiple CSV files and reading a specific row and columns dfs = [(pd.read_csv(f,sep="\t",header = 1,engine='python').iloc[[6,7],[1]]) for f in files] . each comma is separating the values i had gotten from one file.

[   3.08945e+09  
6    1825150.0
7    7746660.0,
3.14925e+09
6    2171520.0
7    6356880.0,
3.00826e+09
6    2344600.0
7    7881130.0,]

Screenshot of the code here

How do I convert this into a three-column dataset? like below.
Any help would be appreciated.

3.08945e+09 1825150.0 7746660.0
3.14925e+09 2171520.0 6356880.0
3.00826e+09 2344600.0 7881130.0

Answer 1

You can use pd.concat . If your list is k :

>>> k

[   3.08945e+09
 6    1825150.0
 7    7746660.0,
    3.14925e+09
 6    2171520.0
 7    6356880.0,
    3.00826e+09
 6    2344600.0
 7    7881130.0]

>>> pd.concat(k, axis=1).T.reset_index()
         index          6          7
0  3.08945e+09  1825150.0  7746660.0
1  3.14925e+09  2171520.0  6356880.0
2  3.00826e+09  2344600.0  7881130.0

If you don't want the index, add drop=True to reset_index :

>>> pd.concat(lst, axis=1).T
 
           6          7
0  1825150.0  7746660.0
1  2171520.0  6356880.0
2  2344600.0  7881130.0

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