Getting the maximum values of every column and storing those value to an array without pandas-CodePudding

I have a text file that looks like this:

I want to have an array of lengths (number_of_columns - 1) that will store the maximum values of each column respectively except for the last column.

So my output array for this above example will look something like: 7 3 4 5

I don't want to use pandas here. I am unable to understand how to proceed.

CodePudding user response：

Use:

with open(datafile) as infile:
    # convert each line to an iterable of ints
    rows = (map(int, line.strip()) for line in infile)
    
    # find the maximum per col, exclude the last one
    *res, _ = (max(col) for col in zip(*rows))
    print(res)

Output

[7, 3, 4, 5]

As an alternative:

with open(datafile) as infile:
    # convert each line to an iterable of ints exclude the last one
    rows = (map(int, line.strip()[:-1]) for line in infile)

    # find the maximum per col,
    res = [max(col) for col in zip(*rows)]
    print(res)

CodePudding user response：

[max(lst) for lst in zip(*[map(int,line) for line in data.split() if line])][:-1]

CodePudding user response：

There are many ways to do this. Here's just one of them:

with open('foo.txt') as infile:
    a = []
    for line in infile:
        for i, d in enumerate(line[:-2]):
            if len(a) < i 1:
                a.append([])
            a[i].append(int(d))
    print(*map(max,a))