Loop which creates dataframe from each column in another dataframe

Question

I have a dataframe of 100+ columns and would like to turn each column into it's own dataframe with the same index of Date.

eg;

Original Dataframe;

Date     A B C D E F G H
01/01/12 3 8 9 2 9 3 3 2
02/01/12 7 8 7 7 3 2 0 3
.
.
.
.
31/01/19 8 2 9 3 2 7 2 0

End Goal;

Dataframe A;

Date     A
01/01/12 3
02/01/12 7
.
.
.
.
31/01/12 8

Dataframe B

Date     B
01/01/12 8
02/01/12 8
.
.
.
.
31/01/19 2

and so on for each other columns..

Any help much appreciated! Thanks

Answer 1

If want DataFrame called A,B,C by columns names is not recommended, better is create dictionary:

d = {c: df[[c]] for c in df.columns}
print (d)

print (d['A'])
          A
Date       
01/01/12  3
02/01/12  7