Btukfyl

I have 3 groups of lists which are A1, A2, A3 as in group A, B1, B2, B3 in group B,
and C1, C2, C3 in group C.

a1 = ["ID_A1", ['T', 'T', 'C', 'C', 'A', 'C', 'A', 'G', 'C', 'T', 'T', 'T', 'T', 'C', 'G', 'C', 'C', 'A', 'A', 'G', 'C', 'T', 'C']]

a2 = ["ID_A2", ['T', 'T', 'C', 'C', 'A', 'C', 'A', 'G', 'C', 'T', 'T', 'T', 'T', 'C', 'G', 'C', 'C', 'A', 'A', 'G', 'C', 'T', 'T']]

a3 = ["ID_A3", ['T', 'T', 'C', 'C', 'A', 'C', 'A', 'G', 'C', 'T', 'T', 'T', 'T', 'C', 'G', 'C', 'C', 'A', 'A', 'G', 'C', 'T', 'G']]



b1 = ["ID_B1", ['C', 'T', 'C', 'C', 'A', 'C', 'C', 'A', 'C', 'T', 'T', 'T', 'C', 'C', 'A', 'C', 'C', 'A', 'A', 'A', 'C', 'T', 'C']]

b2 = ["ID_B2", ['C', 'T', 'C', 'C', 'A', 'C', 'C', 'A', 'C', 'T', 'T', 'T', 'C', 'C', 'A', 'C', 'C', 'A', 'A', 'A', 'C', 'A', 'C']]

b3 = ["ID_B3", ['C', 'T', 'C', 'C', 'A', 'C', 'C', 'A', 'C', 'T', 'T', 'T', 'C', 'C', 'A', 'C', 'C', 'A', 'A', 'A', 'C', 'G', 'C']]



c1 = ["ID_C1", ['T', 'T', 'C', 'C', 'A', 'C', 'A', 'A', 'C', 'T', 'T', 'T', 'T', 'C', 'G', 'C', 'C', 'A', 'A', 'G', 'C', 'T', 'T']]

c2 = ["ID_C2", ['T', 'T', 'C', 'C', 'A', 'C', 'A', 'G', 'C', 'T', 'T', 'T', 'T', 'C', 'G', 'C', 'C', 'A', 'A', 'G', 'C', 'T', 'T']]

c3 = ["ID_C3", ['T', 'T', 'C', 'C', 'A', 'C', 'A', 'G', 'C', 'T', 'T', 'T', 'T', 'C', 'G', 'C', 'C', 'A', 'A', 'G', 'C', 'T', 'G']]



data_set = [a1, a2, a3, b1, b2, b3, c1, c2, c3]

I have already compared their similarities with the codes below:

def compare(_from, _to):

    similarity = 0

    length = len(_from)

    if len(_from) != len(_to):

        raise Exception("Cannot be compared due to different length.")

    for i in range(length):

        if _from[i] == _to[i]:

            similarity += 1

    return similarity / length * 100



result = list()



for entry1 in data_set:

    for entry2 in data_set:

        percentage = compare(entry1[1], entry2[1])

        print("Compare ", entry1[0], " to ", entry2[0], "Percentage :", round(percentage, 2))

        result.append(round(percentage, 2))

print(result)

Instead of sorting all the similarities into a group according to their own value of similarities, I want it to be grouped like in a range of 95% to 96% with an increment 0.1, depends on how user want to input the range. I want it to have 0.1 increment because i have really big data but I cant insert here. When I loop the group (A compares from ID_A1 to ID_C3), every 95% to 96% will group into group A, and the number of group = 1, and when I loop the group (B compares from ID_A1 to ID_C3), every 95% to 96% will group into group B, and the number of group will be +1. The result that I want is showing the total number of groups in the range of 95% to 96%.

I would like to add something which is when in the range of 95.0% to 96.0%, IF there are 95.5% and 95.6%, how to group them as individual group?

The example output would be like:

"In the range of 95% to 96%, there is 1 group of 95.5% and 1 group of 95.6%"

"Total number of groups: ... "

PS: I need to use the number of groups to plot a graph