Work with tuples

Question

I have this list of tuples:

dCF3=[((0.0, 0.0), (0.100000001490116, 0.0), (0.200000002980232, 0.0), (0.300000011920929, 0.0), (0.400000005960464, 0.0), (0.5, 0.0), (0.600000023841858, 0.0), (0.699999988079071, 0.0), (0.800000011920929, 0.0), (0.899999976158142, 0.0), (1.0, 0.0)), ((0.0, 0.0), (0.00249999994412065, -268.749877929688), (0.00499999988824129, -534.530700683594), (0.0087500000372529, -932.520874023438), (0.0143750002607703, -1527.93103027344), (0.0228125005960464, -2414.58032226563), (0.0328124985098839, -3408.89599609375), (0.0428125001490116, -4313.58447265625), (0.0528125017881393, -5153.6572265625), (0.0628124997019768, -6001.00244140625), (0.0728124976158142, -6861.203125), (0.0828125029802322, -7718.9912109375), (0.0928125008940697, -8568.873046875), (0.102812498807907, -9406.283203125), (0.112812496721745, -10222.2841796875), (0.122812502086163, -11016.26953125), (0.1328125, -11787.7470703125), (0.142812505364418, -12536.3466796875), (0.152812495827675, -13261.8193359375), (0.162812501192093, -13964.04296875), (0.172812506556511, -14643.01953125), (0.182812497019768, -15298.8681640625), (0.192812502384186, -15931.8173828125), (0.202812492847443, -16542.1953125), (0.212812498211861, -17130.41796875), (0.222812503576279, -17696.978515625), (0.232812494039536, -18242.431640625), (0.242812499403954, -18767.3828125), (0.252812504768372, -19272.4765625), (0.262812495231628, -19758.388671875), (0.272812485694885, -20225.806640625), (0.282812505960464, -20675.43359375), (0.292812496423721, -21107.970703125), (0.302812486886978, -21523.888671875), (0.312812507152557, -21923.1015625), (0.322812497615814, -22307.275390625), (0.332812488079071, -22677.072265625), (0.34281250834465, -23033.1328125), (0.352812498807907, -23376.078125), (0.362812489271164, -23706.50390625), (0.372812509536743, -24024.984375), (0.3828125, -24332.06640625), (0.392812490463257, -24628.27734375), (0.402812510728836, -24914.11328125), (0.412812501192093, -25190.052734375), (0.42281249165535, -25456.55078125), (0.432812511920929, -25714.037109375), (0.442812502384186, -25962.919921875), (0.452812492847443, -26203.58984375), (0.462812513113022, -26436.4140625), (0.472812503576279, -26661.74609375), (0.482812494039536, -26879.9140625), (0.492812514305115, -27091.232421875), (0.502812504768372, -27296.00390625), (0.512812495231628, -27494.9765625), (0.522812485694885, -27688.0859375), (0.532812476158142, -27875.443359375), (0.542812526226044, -28057.2890625), (0.552812516689301, -28233.853515625), (0.562812507152557, -28405.35546875), (0.572812497615814, -28571.99609375), (0.582812488079071, -28733.9765625), (0.592812478542328, -28891.48046875), (0.602812528610229, -29044.685546875), (0.612812519073486, -29193.7578125), (0.622812509536743, -29338.859375), (0.6328125, -29480.142578125), (0.642812490463257, -29617.75), (0.652812480926514, -29751.8203125), (0.662812471389771, -29882.486328125), (0.672812521457672, -30009.87109375), (0.682812511920929, -30134.09375), (0.692812502384186, -30255.271484375), (0.702812492847443, -30373.5078125), (0.712812483310699, -30488.91015625), (0.722812473773956, -30601.576171875), (0.732812523841858, -30711.599609375), (0.742812514305115, -30819.0703125), (0.752812504768372, -30924.076171875), (0.762812495231628, -31026.69921875), (0.772812485694885, -31127.01953125), (0.782812476158142, -31225.109375), (0.792812526226044, -31321.044921875), (0.802812516689301, -31414.892578125), (0.812812507152557, -31506.720703125), (0.822812497615814, -31596.591796875), (0.832812488079071, -31684.568359375), (0.842812478542328, -31770.70703125), (0.852812528610229, -31855.06640625), (0.862812519073486, -31937.69921875), (0.872812509536743, -32018.658203125), (0.8828125, -32097.9921875), (0.892812490463257, -32175.75), (0.902812480926514, -32251.9765625), (0.912812471389771, -32326.716796875), (0.922812521457672, -32400.013671875), (0.932812511920929, -32471.91015625), (0.942812502384186, -32542.44140625), (0.952812492847443, -32611.6484375), (0.962812483310699, -32679.568359375), (0.972812473773956, -32746.234375), (0.982812523841858, -32811.6796875), (0.992812514305115, -32875.9453125), (1.00281250476837, -32939.05078125), (1.01281249523163, -33001.03515625), (1.02281248569489, -33061.92578125), (1.03281247615814, -33121.75390625), (1.0428124666214, -33180.5390625), (1.05281245708466, -33238.31640625), (1.06281244754791, -33295.10546875), (1.07281255722046, -33350.9375), (1.08281254768372, -33405.83203125), (1.09281253814697, -33459.8125), (1.10281252861023, -33512.90234375), (1.11281251907349, -33565.12109375), (1.12281250953674, -33616.49609375), (1.1328125, -33667.0390625), (1.14281249046326, -33716.77734375), (1.15281248092651, -33765.7265625), (1.16281247138977, -33813.90625), (1.17281246185303, -33861.33203125), (1.18281245231628, -33908.0234375), (1.19281244277954, -33953.99609375), (1.20281255245209, -33999.26953125), (1.21281254291534, -34043.85546875), (1.2228125333786, -34087.76953125), (1.23281252384186, -34131.03125), (1.24281251430511, -34173.65234375), (1.25281250476837, -34215.64453125), (1.26281249523163, -34257.0234375), (1.27281248569489, -34297.8046875), (1.28281247615814, -34338.0), (1.2928124666214, -34377.6171875), (1.30281245708466, -34416.67578125), (1.31281244754791, -34455.18359375), (1.32281255722046, -34493.1484375), (1.33281254768372, -34530.58984375), (1.34281253814697, -34567.515625), (1.35281252861023, -34603.9296875), (1.36281251907349, -34639.8515625), (1.37281250953674, -34675.2890625), (1.3828125, -34710.25), (1.39281249046326, -34744.7421875), (1.40281248092651, -34778.78125), (1.41281247138977, -34812.3671875), (1.42281246185303, -34845.515625), (1.43281245231628, -34878.234375), (1.44281244277954, -34910.53125), (1.45281255245209, -34942.41015625), (1.46281254291534, -34973.88671875), (1.4728125333786, -35004.9609375), (1.48281252384186, -35035.64453125), (1.49281251430511, -35065.9453125), (1.50281250476837, -35095.8671875), (1.51281249523163, -35125.421875), (1.52281248569489, -35154.61328125), (1.53281247615814, -35183.4453125), (1.5428124666214, -35211.9296875), (1.55281245708466, -35240.0703125), (1.56281244754791, -35267.87109375), (1.57281255722046, -35295.34375), (1.58281254768372, -35322.4921875), (1.59281253814697, -35349.31640625), (1.60281252861023, -35375.828125), (1.61281251907349, -35402.03125), (1.62281250953674, -35427.9296875), (1.6328125, -35453.53515625), (1.64281249046326, -35478.84375), (1.65281248092651, -35503.86328125), (1.66281247138977, -35528.6015625), (1.67281246185303, -35553.05859375), (1.68281245231628, -35577.24609375), (1.69281244277954, -35601.16015625), (1.70281255245209, -35624.8125), (1.71281254291534, -35648.203125), (1.7228125333786, -35671.33984375), (1.73281252384186, -35694.22265625), (1.74281251430511, -35716.859375), (1.75281250476837, -35739.25), (1.76281249523163, -35761.40234375), (1.77281248569489, -35783.31640625), (1.78281247615814, -35805.0), (1.7928124666214, -35826.45703125), (1.80281245708466, -35847.6875), (1.81281244754791, -35868.6953125), (1.82281255722046, -35889.484375), (1.83281254768372, -35910.0625), (1.84281253814697, -35930.42578125), (1.85281252861023, -35950.58203125), (1.86281251907349, -35970.53125), (1.87281250953674, -35990.28125), (1.8828125, -36009.83203125), (1.89281249046326, -36029.1875), (1.90281248092651, -36048.34765625), (1.91281247138977, -36067.3203125), (1.92281246185303, -36086.10546875), (1.93281245231628, -36104.703125), (1.94281244277954, -36123.12109375), (1.95281255245209, -36141.359375), (1.96281254291534, -36159.421875), (1.9728125333786, -36177.3125), (1.98281252384186, -36195.02734375), (1.99281251430511, -36212.578125), (2.00281238555908, -36229.95703125), (2.01281261444092, -36247.17578125), (2.02281260490417, -36264.23046875), (2.03281259536743, -36281.125), (2.04281258583069, -36297.86328125), (2.05281257629395, -36314.4453125), (2.0628125667572, -36344.6875), (2.07281255722046, -36381.9609375), (2.08281254768372, -36418.8984375), (2.09281253814697, -36455.49609375), (2.10281252861023, -36491.76953125), (2.11281251907349, -36531.01953125), (2.12281250953674, -36590.515625), (2.1328125, -36649.4765625), (2.14281249046326, -36707.91796875), (2.15281248092651, -36765.83984375), (2.16281247138977, -36823.25), (2.17281246185303, -36880.15625), (2.18281245231628, -36936.56640625), (2.19281244277954, -36992.48828125), (2.2028124332428, -37047.921875), (2.21281242370605, -37102.87890625), (2.22281241416931, -37157.36328125), (2.23281240463257, -37211.3828125), (2.24281239509583, -37264.94140625), (2.25281238555908, -37318.04296875), (2.26281261444092, -37370.69921875), (2.27281260490417, -37422.9140625), (2.28281259536743, -37474.6875), (2.29281258583069, -37526.03125), (2.30281257629395, -37576.9453125), (2.3128125667572, -37627.44140625), (2.32281255722046, -37677.51953125), (2.33281254768372, -37727.1875), (2.34281253814697, -37776.44921875), (2.35281252861023, -37825.3125), (2.36281251907349, -37873.7734375), (2.37281250953674, -37921.84765625), (2.3828125, -37969.53515625), (2.39281249046326, -38016.83984375), (2.40281248092651, -38063.765625), (2.41281247138977, -38110.31640625), (2.42281246185303, -38156.50390625), (2.43281245231628, -38202.32421875), (2.44281244277954, -38247.78125), (2.4528124332428, -38292.88671875), (2.46281242370605, -38337.640625), (2.47281241416931, -38382.046875))]

I have two tuples in this list. First I'd like to get the maximum value of the first column (eg.: (Xi,Yi), max X) of the first tuple and add that value to the first column of the second tuple. Additionally, after this operation I'd like to join the two tuples in one.

Any ideas?

EDIT: The question has been solved. However, if instead of the first tuple I'd like to find the maximum of the first column of the m tuple and then add it to the first column of the next n tuples until the end of the list, and then at the end join all tuples in just one, how could I do it?

My code works but maybe can be optimized:

    indexLSNR=len(dCF3)-2
    t1max=max(dCF3[indexLSNR])[0]

    for i in range(0, len(dCF3)):
        if i<=indexLSNR:
            if i==0:
                new_line= dCF3[i]
            else:
                new_line= dCF3[i] + new_line
        if i>indexLSNR:
            new_tup2 = tuple((a + t1max, b) for a, b in dCF3[i])
            new_line= new_line + new_tup2

Answer 1

"First I'd like to get the maximum value of the first column of the first tuple "

m = max(dCF3[0])[0]

or, if you prefer to be more explicit about considering only the first column

from operator import itemgetter
m = max(dCF3[0], key=itemgetter(0))[0]

"...and add that value to the first column of the second tuple."

tuples are immutable so you cannot update values within it. You can however create a new tuple with the updated values:

The following creates new tuple based on dCF3[1] with m added to the first column of all entries:

new_tup2 = tuple((a + m, b) for a, b in dCF3[1]) 

"Additionally, after this operation I'd like to join the two tuples in one."

If you mean concatenating the two tuples into a single long tuple:

joined = dCF3[0] + new_tup2

---

Update:

To address your updated question, I gather from your example code that you want to:

1. Find the max value of the first column of the first column as t1max
2. Concatenate all the tuples into a single long tuple, but with the last N-1 tuples (in your example, N=2) using updated values such that the first column is incremented by t1max.

Here's how I would approach it, with a view of maintaining efficiency by minimising the number of copies we make of the tuples:

n = 2  # your parameter
p = n - 1  # shorthand, just to make the following code cleaner
t1max = max(dCF3[0])[0]  # get max of first col of first tuple

# store a reference to all tuples except the last N-1 
# Note that we're NOT making copies of the actual tuples. Only refs.
tup_list = list(dCF3[:-p])  

# Append generators that will return the last N-1 tuples with updated values
# Again, we're not making any copies of the tuple. Only generators that will
# iterate through the tuples when consumed
for tup in dCF3[-p:]:
    tup_list.append(((a + t1max, b) for a, b in tup))

# Now we're ready to create a copy of the tuples as a single large tuple
from itertools import chain
new_tup = tuple(chain.from_iterable(tup_list))

p.s. If you need to support python <2.6 where itertools.chain.from_iterable is not available, you could use chain(*tup_list) instead.

Answer 2

This will handle any number of tuples :

lis = [((0.0, 0.0), (0.100000001490116, 0.0), (0.200000002980232, 0.0), (0.300000011920929, 0.0), (0.400000005960464, 0.0), (0.5, 0.0), (0.600000023841858, 0.0), (0.699999988079071, 0.0), (0.800000011920929, 0.0), (0.899999976158142, 0.0), (1.0, 0.0)), ((0.0, 0.0), (0.00249999994412065, -268.749877929688), (0.00499999988824129, -534.530700683594), (0.0087500000372529, -932.520874023438), (0.0143750002607703, -1527.93103027344), (0.0228125005960464, -2414.58032226563), (0.0328124985098839, -3408.89599609375), (0.0428125001490116, -4313.58447265625), (0.0528125017881393, -5153.6572265625), (0.0628124997019768, -6001.00244140625), (0.0728124976158142, -6861.203125), (0.0828125029802322, -7718.9912109375), (0.0928125008940697, -8568.873046875), (0.102812498807907, -9406.283203125), (0.112812496721745, -10222.2841796875), (0.122812502086163, -11016.26953125), (0.1328125, -11787.7470703125), (0.142812505364418, -12536.3466796875), (0.152812495827675, -13261.8193359375), (0.162812501192093, -13964.04296875), (0.172812506556511, -14643.01953125), (0.182812497019768, -15298.8681640625), (0.192812502384186, -15931.8173828125), (0.202812492847443, -16542.1953125), (0.212812498211861, -17130.41796875), (0.222812503576279, -17696.978515625), (0.232812494039536, -18242.431640625), (0.242812499403954, -18767.3828125), (0.252812504768372, -19272.4765625), (0.262812495231628, -19758.388671875), (0.272812485694885, -20225.806640625), (0.282812505960464, -20675.43359375), (0.292812496423721, -21107.970703125), (0.302812486886978, -21523.888671875), (0.312812507152557, -21923.1015625), (0.322812497615814, -22307.275390625), (0.332812488079071, -22677.072265625), (0.34281250834465, -23033.1328125), (0.352812498807907, -23376.078125), (0.362812489271164, -23706.50390625), (0.372812509536743, -24024.984375), (0.3828125, -24332.06640625), (0.392812490463257, -24628.27734375), (0.402812510728836, -24914.11328125), (0.412812501192093, -25190.052734375), (0.42281249165535, -25456.55078125), (0.432812511920929, -25714.037109375), (0.442812502384186, -25962.919921875), (0.452812492847443, -26203.58984375), (0.462812513113022, -26436.4140625), (0.472812503576279, -26661.74609375), (0.482812494039536, -26879.9140625), (0.492812514305115, -27091.232421875), (0.502812504768372, -27296.00390625), (0.512812495231628, -27494.9765625), (0.522812485694885, -27688.0859375), (0.532812476158142, -27875.443359375), (0.542812526226044, -28057.2890625), (0.552812516689301, -28233.853515625), (0.562812507152557, -28405.35546875), (0.572812497615814, -28571.99609375), (0.582812488079071, -28733.9765625), (0.592812478542328, -28891.48046875), (0.602812528610229, -29044.685546875), (0.612812519073486, -29193.7578125), (0.622812509536743, -29338.859375), (0.6328125, -29480.142578125), (0.642812490463257, -29617.75), (0.652812480926514, -29751.8203125), (0.662812471389771, -29882.486328125), (0.672812521457672, -30009.87109375), (0.682812511920929, -30134.09375), (0.692812502384186, -30255.271484375), (0.702812492847443, -30373.5078125), (0.712812483310699, -30488.91015625), (0.722812473773956, -30601.576171875), (0.732812523841858, -30711.599609375), (0.742812514305115, -30819.0703125), (0.752812504768372, -30924.076171875), (0.762812495231628, -31026.69921875), (0.772812485694885, -31127.01953125), (0.782812476158142, -31225.109375), (0.792812526226044, -31321.044921875), (0.802812516689301, -31414.892578125), (0.812812507152557, -31506.720703125), (0.822812497615814, -31596.591796875), (0.832812488079071, -31684.568359375), (0.842812478542328, -31770.70703125), (0.852812528610229, -31855.06640625), (0.862812519073486, -31937.69921875), (0.872812509536743, -32018.658203125), (0.8828125, -32097.9921875), (0.892812490463257, -32175.75), (0.902812480926514, -32251.9765625), (0.912812471389771, -32326.716796875), (0.922812521457672, -32400.013671875), (0.932812511920929, -32471.91015625), (0.942812502384186, -32542.44140625), (0.952812492847443, -32611.6484375), (0.962812483310699, -32679.568359375), (0.972812473773956, -32746.234375), (0.982812523841858, -32811.6796875), (0.992812514305115, -32875.9453125), (1.00281250476837, -32939.05078125), (1.01281249523163, -33001.03515625), (1.02281248569489, -33061.92578125), (1.03281247615814, -33121.75390625), (1.0428124666214, -33180.5390625), (1.05281245708466, -33238.31640625), (1.06281244754791, -33295.10546875), (1.07281255722046, -33350.9375), (1.08281254768372, -33405.83203125), (1.09281253814697, -33459.8125), (1.10281252861023, -33512.90234375), (1.11281251907349, -33565.12109375), (1.12281250953674, -33616.49609375), (1.1328125, -33667.0390625), (1.14281249046326, -33716.77734375), (1.15281248092651, -33765.7265625), (1.16281247138977, -33813.90625), (1.17281246185303, -33861.33203125), (1.18281245231628, -33908.0234375), (1.19281244277954, -33953.99609375), (1.20281255245209, -33999.26953125), (1.21281254291534, -34043.85546875), (1.2228125333786, -34087.76953125), (1.23281252384186, -34131.03125), (1.24281251430511, -34173.65234375), (1.25281250476837, -34215.64453125), (1.26281249523163, -34257.0234375), (1.27281248569489, -34297.8046875), (1.28281247615814, -34338.0), (1.2928124666214, -34377.6171875), (1.30281245708466, -34416.67578125), (1.31281244754791, -34455.18359375), (1.32281255722046, -34493.1484375), (1.33281254768372, -34530.58984375), (1.34281253814697, -34567.515625), (1.35281252861023, -34603.9296875), (1.36281251907349, -34639.8515625), (1.37281250953674, -34675.2890625), (1.3828125, -34710.25), (1.39281249046326, -34744.7421875), (1.40281248092651, -34778.78125), (1.41281247138977, -34812.3671875), (1.42281246185303, -34845.515625), (1.43281245231628, -34878.234375), (1.44281244277954, -34910.53125), (1.45281255245209, -34942.41015625), (1.46281254291534, -34973.88671875), (1.4728125333786, -35004.9609375), (1.48281252384186, -35035.64453125), (1.49281251430511, -35065.9453125), (1.50281250476837, -35095.8671875), (1.51281249523163, -35125.421875), (1.52281248569489, -35154.61328125), (1.53281247615814, -35183.4453125), (1.5428124666214, -35211.9296875), (1.55281245708466, -35240.0703125), (1.56281244754791, -35267.87109375), (1.57281255722046, -35295.34375), (1.58281254768372, -35322.4921875), (1.59281253814697, -35349.31640625), (1.60281252861023, -35375.828125), (1.61281251907349, -35402.03125), (1.62281250953674, -35427.9296875), (1.6328125, -35453.53515625), (1.64281249046326, -35478.84375), (1.65281248092651, -35503.86328125), (1.66281247138977, -35528.6015625), (1.67281246185303, -35553.05859375), (1.68281245231628, -35577.24609375), (1.69281244277954, -35601.16015625), (1.70281255245209, -35624.8125), (1.71281254291534, -35648.203125), (1.7228125333786, -35671.33984375), (1.73281252384186, -35694.22265625), (1.74281251430511, -35716.859375), (1.75281250476837, -35739.25), (1.76281249523163, -35761.40234375), (1.77281248569489, -35783.31640625), (1.78281247615814, -35805.0), (1.7928124666214, -35826.45703125), (1.80281245708466, -35847.6875), (1.81281244754791, -35868.6953125), (1.82281255722046, -35889.484375), (1.83281254768372, -35910.0625), (1.84281253814697, -35930.42578125), (1.85281252861023, -35950.58203125), (1.86281251907349, -35970.53125), (1.87281250953674, -35990.28125), (1.8828125, -36009.83203125), (1.89281249046326, -36029.1875), (1.90281248092651, -36048.34765625), (1.91281247138977, -36067.3203125), (1.92281246185303, -36086.10546875), (1.93281245231628, -36104.703125), (1.94281244277954, -36123.12109375), (1.95281255245209, -36141.359375), (1.96281254291534, -36159.421875), (1.9728125333786, -36177.3125), (1.98281252384186, -36195.02734375), (1.99281251430511, -36212.578125), (2.00281238555908, -36229.95703125), (2.01281261444092, -36247.17578125), (2.02281260490417, -36264.23046875), (2.03281259536743, -36281.125), (2.04281258583069, -36297.86328125), (2.05281257629395, -36314.4453125), (2.0628125667572, -36344.6875), (2.07281255722046, -36381.9609375), (2.08281254768372, -36418.8984375), (2.09281253814697, -36455.49609375), (2.10281252861023, -36491.76953125), (2.11281251907349, -36531.01953125), (2.12281250953674, -36590.515625), (2.1328125, -36649.4765625), (2.14281249046326, -36707.91796875), (2.15281248092651, -36765.83984375), (2.16281247138977, -36823.25), (2.17281246185303, -36880.15625), (2.18281245231628, -36936.56640625), (2.19281244277954, -36992.48828125), (2.2028124332428, -37047.921875), (2.21281242370605, -37102.87890625), (2.22281241416931, -37157.36328125), (2.23281240463257, -37211.3828125), (2.24281239509583, -37264.94140625), (2.25281238555908, -37318.04296875), (2.26281261444092, -37370.69921875), (2.27281260490417, -37422.9140625), (2.28281259536743, -37474.6875), (2.29281258583069, -37526.03125), (2.30281257629395, -37576.9453125), (2.3128125667572, -37627.44140625), (2.32281255722046, -37677.51953125), (2.33281254768372, -37727.1875), (2.34281253814697, -37776.44921875), (2.35281252861023, -37825.3125), (2.36281251907349, -37873.7734375), (2.37281250953674, -37921.84765625), (2.3828125, -37969.53515625), (2.39281249046326, -38016.83984375), (2.40281248092651, -38063.765625), (2.41281247138977, -38110.31640625), (2.42281246185303, -38156.50390625), (2.43281245231628, -38202.32421875), (2.44281244277954, -38247.78125), (2.4528124332428, -38292.88671875), (2.46281242370605, -38337.640625), (2.47281241416931, -38382.046875))]
lis = [map(list,x) for x in lis]  #create list of lists as you can't modify a tuple
maxx = max(y[0] for x in lis[:m] for y in x)     #find the max in first m tuples
for i in xrange(m,m+n+1):  #update n tuples after m
    for j in xrange(len(lis[i])):
        lis[i][j][0] += maxx
new_lis = lis[0] + lis[1]

Answer 3

A quick one, using itertools:

>>> import itertools
>>> list(itertools.chain(dCF3[0], max(dCF3[0]) + dCF3[1][0], dCF3[1][1:]))

This joins:

• all elements of 1st tuple
• max of 1st tuple + 1st elem of 2nd tuple
• all elemnts of 2nd tuple except the 1st one already used just before

Answer 4

To find the max:

max_col1 = map(max, zip(*dCF3[0]))[0] #[0]Gives the max of the first values in the tuple

To Add 1 to every 1st column in the second tuple:

new_tup = tuple((x + max_col1, y) for x, y in dCF3[1])

And to merge

tup = dCF3[0] + new_tup