Finding value in list in pandas column by index

Question

I have a dataframe with many columns that are lists of values, which are floats. I would like to find the element or elements in these lists based on an index, which is an integer or integers in a separate column. Eg.

Results                                             Index_1 Index_2

0   [2.347, 140.8, 1010.8, 723.7, 7, 0, 2.898, 9.1...   0   [0, 4, 6]
1   [93794, 112.7, 5.014, 0, 1778.1, 3473.82, 0, 3...   1   [1, 5]
2   [2.927, 12.647, 9047, 0, 1204.5, 13.4, 6.3, 4....   2   [2, 0]
3   [0, 1.801, 7.104, 2121.2, 20.375, 6.348, 11.35...   2   [2, 9, 3]

What I would like is to create two columns with the values of the results based on Index and Index_2. Eg.

Results                                             Index_1 Index_2    Outcome  Outcome_2
0   [2.347, 140.8, 1010.8, 723.7, 7, 0, 2.898, 9.1...   0   [0, 4, 6]   2.347   [2.347, 7, 2.898]
1   [93794, 112.7, 5.014, 0, 1778.1, 3473.82, 0, 3...   1   [1, 5]     112.700  [112.7, 3473.82]
2   [2.927, 12.647, 9047, 0, 1204.5, 13.4, 6.3, 4....   2   [2, 0]     9047     [9047, 2.927]
3   [0, 1.801, 7.104, 2121.2, 20.375, 6.348, 11.35...   2   [2, 9, 3]   7.104   [7.104, 12531.5, 20.375]

The Results vary in number and so does one of the indexes.

For some reason the index function does not work and I get thrown errors including:

IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices 

This is when I run df['Outcome'] = df['Results'].index['Index_1']. I've played around with the code but cannot seem to get this to work.

I have checked the dtypes of the columns and they return list for Results and numpy.int64 for Index_1.