I have a pandas dataframe object that looks like this:
one two three four five 0 1 2 3 4 5 1 1 1 1 1 1
Strictly speaking if you want nested lists (and not a list of tuples) you can do
df.values.tolist()
as df.values is a numpy array. That will give you a list of lists as requested:
[[0.0001313652121930252, 3.5915356549999985e-05], [3.5915356549999985e-05, 0.00011634321240684215]]