Simple pandas question

[mcva]

Yes, a bit messy and I am sure can be simplified, but it is unclear to me what you want to do. Can you explain better (words, I see the code)?

I have a dataframe with 1000 columns all with the same length (365 values), and I need to calculate de moving average of each column. But I need to do this for diferent periods, from 1 to 100. A period is the pandas.DataFrame.rolling function first parameter.
So for each of the 1000 columns (years) I need to get 100 new datasets (They will have a diferent length with the increase of the moving average period, this is the reason why I can´t use a numpy array instead of a dataframe)


In my code I´m doing the following:

1) tm1, tm2 and tm3 are the moving averages considering a period of 1, 2 and 3 for each of the nine columns. I need to do this until I reach tm100...
2) Then I´m using concat() to create a single dataframe.
3) I´m using re.search() to reorganize the columns by year.
4) Export to excel.


Thank you