加入具有相同第一列值的csv文件的所有行

Question

OK major example update needed.

I have exactly this: Joining all rows of a CSV file that have the same 1st column value in Python (first I must appologize for not getting how to just raise the tread again...)

I have a x.CSV file that goes like this: INT;INT2;STRING;STRING;STRING;STRING;STRING;STRING;STRING;STRING;STRING;and_so_on......

0;0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;-1.0;0;0;-1;-1.0

0;0;;;;;;;;;;;;;30.0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

0;0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;160.0;;;;;;;;;;;;;;;;;;;;;;

0;0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;0.0;;;;;;;;;;;;;;;;;;;;

0;0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;0.0;;;;;;;;;;;;;;;;;;;

0;0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1668.0;;;;;;;;;;;;;;;;;;;;;;;;;

0;0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;1672.0;;;;;;;;;;;;;;;;;;;;;;;;

0;0;;;;;;;;;;;;;;;;;;0.0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

0;0;;;;;;;;;;;;;;;;;;;74.0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

1;1;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;0.0;;;;;;;;;;;;

1;1;0.0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

3;3;4.0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

3;3;;;;;;;;;;;;;;;;;;;;;;;;;75.0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

5;5;0.0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

5;5;;;;;;;;;;;;;;;;;;;;;;;;;85.0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

Now, I need a way to join all of the rows that have the same 1st column name into one column, for example:

INT;INT2;STRING;STRING;STRING;STRING;STRING;STRING;STRING;STRING;STRING;and_so_on......

0;0;;;;;;;;;;;;;30.0;;;;;0.0;74.0;;;;;;;;;;;;;;;;1668.0;1672.0;;;160.0;;;;;0.0;0.0;;;;;;;;;;;;;;-1.0;0;0;-1;-1.0

1;1;0.0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;0.0;;;;;;;;;;;;

3;3;4.0;;;;;;;;;;;;;;;;;;;;;;;;75.0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

5;5;0.0;;;;;;;;;;;;;;;;;;;;;;;;85.0;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

It is the same number of colums (even though "resultrow" 0;0.... might have too many ";" since i faked it ;-) numbers only turn up once in the same indexrow, so it's kind of a "merge the same indexrow" I need something that reads the >20k (it can be >1million as well) rows long file. Compresses the list And writes the file back to disk again.

Helpers only tip in what direction to code and I'm not able to :-/ (yet... :-) With the greatest respect - I don't code blush - I can read it but not design it. Me posting code would be - lets say amusing :-)

I would very much appriciate the help. br //

Answer 1

import csv
from itertools import izip_longest

def merge_rows(a, b):
    return [x or y for x,y in izip_longest(a, b, fillvalue='')]

def main():
    data = {}

    with open("infile.csv", "rb") as inf:
        incsv = csv.reader(inf, delimiter=";")
        header = next(incsv, [])
        for row in incsv:
            label = row[0]
            try:
                data[label] = merge_rows(data[label], row)
            except KeyError:
                data[label] = row

    # write data in sorted order by label
    keys = sorted(data, key=lambda k: int(k))    # Python 2
    # keys = sorted(data.keys(), key=lambda k: int(k))    # Python 3

    with open("outfile.csv", "wb") as outf:
        outcsv = csv.writer(outf, delimiter=";")
        outcsv.writerow(header)
        outcsv.writerows(data[key] for key in keys)

if __name__=="__main__":
    main()

Edit: I made a few mods based on your sample data:

1. added a delimiter=";" argument to the csv reader and writer

2. added code to read and write the header

3. added a key clause so sort order is numeric, not lexicographic

How it works:

for row in incsv : For each row in the data file, we get a list - something like ["0", "0", "", "", "", "", "", "", "", "", "", "", "-1.0", "0", "0", "-1", "0"] . Then label = row[0] gives label a value of "0" - your desired first-column value - and we look for data[label] , a combined row from all preexisting rows having that label.

If that combined row already exists, we merge the new row into it ( stored_row = merge_rows(stored_row, new_row) ; otherwise it is created with the new row value ( ["0", "0", "", "", "", "", "", "" , etc). So effectively merge_rows is called for every occurrence of each label except the first time it appears.

merge_rows takes a pair of lists and combines them - izip_longest returns corresponding entries, ie izip_longest([0, 1, 2], ["a", "b", "c"]) gives (0, "a"), (1, "b"), (2, "c") . If one list is shorter than the other, it pads it with fillvalue to match the length of the longest list it received. x and y get assigned the corresponding value from each list, and we or them together because... well, because or combines them the way you want ( '' or '1' == '1' , '1' or '' == '1' , '' or '' == '' ). It then takes all the resulting values and returns them as a list - the resulting combined row.

Hope that helps.