我如何比較python中兩行不同的兩列

Question

我想遍歷 csv 文件的每一行並進行比較以查看第 1 行的第一個字段是否與下一行的第一個字段相同，依此類推。 如果找到匹配項，那么我想忽略包含相同字段的那兩行，並保留沒有匹配項的行

這是一個示例數據集 (no_dup.txt)

Ac_Gene_ID  M_Gene_ID
ENSGMOG00000015632  ENSORLG00000010573
ENSGMOG00000015632  ENSORLG00000010585
ENSGMOG00000003747  ENSORLG00000006947
ENSGMOG00000003748  ENSORLG00000004636

基本上我想排除第 1 行和第 2 行，因為它們包含相同的字段（ENSGMOG00000015632）並保留第 3 行和第 4 行

這是我嘗試過但無法完成的代碼

prev = None

with open("no_dup.txt", 'r') as fh_in:
    for line in fh_in:
        line = line.strip()
        if line.startswith("E"):
            line1 = line.split()
            print "initial gene =", line1[0]
            if prev is not None or prev!= line1[0]:
                prev = line1[0]

Answer 1

我認為這樣做的一種干凈的方法是制作每個條目的地圖 - > 行列表。

entries = {}
with open('no_dup.txt', 'r') as fh_in:
    for line in fg_in:
        entry = line.split()[0]
        if entry in entries:
            entries[entry].append(line)
        else:
            entries[entry] = [line]
for matches in entries.iteritems():
    if len(matches) == 1:
        print matches[0]

您應該注意，這不會保留條目的順序。

Answer 2

你的開始看起來不錯：

def filter_dups(iterable):
      prev = None
      for line in iterable:
          if line.startswith("E"):
              if prev.split(None, 1)[0] == line.split(None, 1)[0]:
                  prev = None
              else:
                  if prev is not None:
                      yield prev
                  else:
                      prev = line
          else:
              yield line
              prev = None
      if prev is not None:
          yield prev

  with open("no_dup.txt", 'r') as fh_in:
      with open("no_dup_out.txt", 'r') as fh_out:
          fh_out.writelines(filter_dups(fh_in))

Answer 3

你可以使用這個：

with open('a.txt','r') as inputFile:
   lines = inputFile.readlines()

prev = lines[0]

for i in range(1, len(lines)):
   cur = lines[i]
   if prev.split()[0] != cur.split()[0]:
      print prev.strip()
   prev = cur

print lines[-1].strip()

輸入：

ENSGMOG00000015632  ENSORLG00000010573
ENSGMOG00000015632  ENSORLG00000010585
ENSGMOG00000003747  ENSORLG00000006947
ENSGMOG00000003748  ENSORLG00000004636

輸出：

ENSGMOG00000015632  ENSORLG00000010585
ENSGMOG00000003747  ENSORLG00000006947
ENSGMOG00000003748  ENSORLG00000004636