Python pandas read_csv 每两列合并，读取为 dataframe

Question

Beginner in python and pandas and trying to figure out how to read from csv in a particular way.

My datafile

01 AAA1234 AAA32452 AAA123123 0 -9 C C A A T G A G .......
01 AAA1334 AAA12452 AAA125123 1 -9 C A T G T G T G .......
...
...
...

So I have 100.000 columns in this file and I want to merge every two columns into one. But the merging needs to occur after the first 6 columns. I would prefer to do this while reading the file if possible instead of manipulating this huge datafile/

Desired outcome

01 AAA1234 AAA32452 AAA123123 0 -9 CC AA TG AG .......
01 AAA1334 AAA12452 AAA125123 1 -9 CA TG TG TG .......
...
...
...

That will result in a dataframe with half the columns. My datafile has no col names, the names reside in a different csv but that is another subject.

I d appreciate a solution, thanks in advance!

Answer 1

Separate the data frame initially. I created one for experimental purposes:

Then I defined a function. Then passed in the dataframe which needed manipulation as an argument into the function

def columns_joiner(data):
    new_data = pd.DataFrame()
    for i in range(0,11,2): # You can change range to your wish
    # Here, I had only 10 columns to concatenate (Therefore the range ends at 11)
        ser = data[i] + data[i + 1]
        new_data = pd.concat([new_data, ser], axis = 1)

  return new_data

I don't think this is an efficient solution. But it worked for me.