How do I add sequential values to a pandas data frame?

Question

I have a data frame like the following:

AF	Important Info
Trial One
Trial Two

There is an entirely blank column, and it needs to be populated with data. I will have a near final data frame like the following:

AF	Important Info
Trial One	'70'
Trial Two	'88'

How would I go about adding additional values to the "Important Info" column, such that the result is like this:

AF	Important Info
Trial One	'70', '99'
Trial Two	'88', '71'

Thank you!

Answer 1

I would consider storing your data in long format like:

          AF Info
0  Trial One   70
1  Trial One   99
2  Trial Two   88
3  Trial Two   71

Then if you really want to see that info on one line, you can do:

>>> df.groupby('AF').agg(list)
               Info
AF
Trial One  [70, 99]
Trial Two  [88, 71]

# OR

>>> df.astype(str).groupby('AF').agg(', '.join)
             Info
AF
Trial One  70, 99
Trial Two  88, 71

And, this still allows you to perform other calculations per group...

>>> df.groupby('AF').mean()
           Info
AF
Trial One  84.5
Trial Two  79.5