I have daily stock data inside a list of n dataframes (each stock has its own dataframe). I want to select m rows on equal time intervals from each dataframe and append them to dataframes inside another list. Basically the new list should have m dataframes - which is the number the number of days, and each dataframe length n - the number of stocks.
I tried with nested for loops but it just didn't work

```
cross_section = []
cross_sections_list = []

for m in range(0, len(datalist[0]), 100):    
    for n in range(len(datalist)):
        cross_section.append(datalist[n].iloc[m])
        cross_sections_list.append(cross_section)

```

this code didnt do anything. my machine just stacked on it. if there is another way like multiindexing for example I would love trying it too.

For example

input:

```
[
             Adj Close   Ticker  
 Date                           
 2020-06-01  321.850006   AAPL  
 2020-06-02  323.339996   AAPL  
 2020-06-03  325.119995   AAPL  
 2020-06-04  322.320007   AAPL  
 2020-06-05  331.500000   AAPL  
 2020-06-08  333.459991   AAPL  
 2020-06-09  343.989990   AAPL  
 2020-06-10  352.839996   AAPL  ,

             Adj Close    Ticker  
 Date                           
 2020-06-01  182.830002   MSFT  
 2020-06-02  184.910004   MSFT  
 2020-06-03  185.360001   MSFT  
 2020-06-04  182.919998   MSFT  
 2020-06-05  187.199997   MSFT  
 2020-06-08  188.360001   MSFT  
 2020-06-09  189.800003   MSFT  
 2020-06-10  196.839996   MSFT  ]

```

output:

```
 [
             Adj Close   Ticker  
 Date                           
 2020-06-01  321.850006   AAPL  
 2020-06-01  182.830002   MSFT  ,

             Adj Close   Ticker  
 Date                           
 2020-06-03  325.119995   AAPL  
 2020-06-03  185.360001   MSFT  ,

             Adj Close   Ticker  
 Date                           
 2020-06-05  331.500000   AAPL  
 2020-06-05  187.199997   MSFT  ]

```

and so on.

Thank you