How to form list of tuples from a Dataframe column

Question

I have the following pandas dataframe df with the first few entries being:

     Input      Output
0    hj1234        2
1    gu0998        5
2    iu5678        7
3    56h781        11

I need to convert it to 2 separate tuples of lists, looking like this:

my_inputs = [
   (h, j, 1, 2, 3, 4), 
   (g, u, 0, 9, 9, 8), 
   (i, u, 5, 6, 7, 8), 
   (5, 6, h, 7, 8, 1)]'
my_outputs =[(2,),
             (5,),
             (7,),
             (11,)]

I have attempted this in excel using the concatenate function however the function has a maximum length to the number of characters that can be concatenated in one line. And so I am trying to do it in python. Kindly assist

Answer 1

If you really want to, this can be done using applymap and zip .

a, b = map(list, zip(*df.applymap(lambda x: (x, )).values.tolist()))   
a = list(map(tuple, [a_[0] for a_ in a]))

a
# [('h', 'j', '1', '2', '3', '4'),
#  ('g', 'u', '0', '9', '9', '8'),
#  ('i', 'u', '5', '6', '7', '8'),
#  ('5', '6', 'h', '7', '8', '1')]     
b
# [(2,), (5,), (7,), (11,)]

---

Another option is simply handling each column separately.

a = list(map(tuple, df['Input']))
b = [(x, ) for x in df['Output']]

a
# [('h', 'j', '1', '2', '3', '4'),
#  ('g', 'u', '0', '9', '9', '8'),
#  ('i', 'u', '5', '6', '7', '8'),
#  ('5', '6', 'h', '7', '8', '1')]   
b
# [(2,), (5,), (7,), (11,)]