如果其他列中有超过 2 个值等于给定值,则使用 awk 删除特定列上 uniq 的所有行

use awk to delete all lines by uniq on certain column if there are more than 2 values in other column equal to given value

早上好。我有一个包含 6 列的大 ASCII 文件。该文件的行数是 24 的倍数(第四列是日期,%Y%m%d%H%M : 24 行-->1 天)并表示一个唯一的(与这些列中的第 1、2、5、6 列相同的值) 24行:为测量站)。

这是一个 2x24 行的剪切示例,即 2 个不同的站点:

1_200061208 0 0.000000 202202150000 36.680573 15.094369
1_200061208 0 0.000000 202202150100 36.680573 15.094369
1_200061208 0 -99999 202202150200 36.680573 15.094369
1_200061208 0 0.000000 202202150300 36.680573 15.094369
1_200061208 0 0.000000 202202150400 36.680573 15.094369
1_200061208 0 0.000000 202202150500 36.680573 15.094369
1_200061208 0 0.000000 202202150600 36.680573 15.094369
1_200061208 0 0.000000 202202150700 36.680573 15.094369
1_200061208 0 -99999 202202150800 36.680573 15.094369
1_200061208 0 0.000000 202202150900 36.680573 15.094369
1_200061208 0 0.000000 202202151000 36.680573 15.094369
1_200061208 0 0.000000 202202151100 36.680573 15.094369
1_200061208 0 0.000000 202202151200 36.680573 15.094369
1_200061208 0 0.000000 202202151300 36.680573 15.094369
1_200061208 0 0.000000 202202151400 36.680573 15.094369
1_200061208 0 0.000000 202202151500 36.680573 15.094369
1_200061208 0 0.000000 202202151600 36.680573 15.094369
1_200061208 0 0.000000 202202151700 36.680573 15.094369
1_200061208 0 0.000000 202202151800 36.680573 15.094369
1_200061208 0 0.000000 202202151900 36.680573 15.094369
1_200061208 0 0.000000 202202152000 36.680573 15.094369
1_200061208 0 0.000000 202202152100 36.680573 15.094369
1_200061208 0 0.000000 202202152200 36.680573 15.094369
1_200061208 0 0.000000 202202152300 36.680573 15.094369
1_200061190 0 0.000000 202202150000 36.728195 14.993018
1_200061190 0 0.000000 202202150100 36.728195 14.993018
1_200061190 0 0.000000 202202150200 36.728195 14.993018
1_200061190 0 0.000000 202202150300 36.728195 14.993018
1_200061190 0 0.000000 202202150400 36.728195 14.993018
1_200061190 0 0.000000 202202150500 36.728195 14.993018
1_200061190 0 0.000000 202202150600 36.728195 14.993018
1_200061190 0 0.000000 202202150700 36.728195 14.993018
1_200061190 0 0.000000 202202150800 36.728195 14.993018
1_200061190 0 0.000000 202202150900 36.728195 14.993018
1_200061190 0 0.000000 202202151000 36.728195 14.993018
1_200061190 0 0.000000 202202151100 36.728195 14.993018
1_200061190 0 0.000000 202202151200 36.728195 14.993018
1_200061190 0 0.000000 202202151300 36.728195 14.993018
1_200061190 0 0.000000 202202151400 36.728195 14.993018
1_200061190 0 -99999 202202151500 36.728195 14.993018
1_200061190 0 0.000000 202202151600 36.728195 14.993018
1_200061190 0 0.000000 202202151700 36.728195 14.993018
1_200061190 0 0.000000 202202151800 36.728195 14.993018
1_200061190 0 0.000000 202202151900 36.728195 14.993018
1_200061190 0 0.000000 202202152000 36.728195 14.993018
1_200061190 0 0.000000 202202152100 36.728195 14.993018
1_200061190 0 0.000000 202202152200 36.728195 14.993018
1_200061190 0 0.000000 202202152300 36.728195 14.993018

我的目标是检查在第三列中,同一站点(第 1、2、5、6 列)每天(24 行)-99999 的出现次数是否超过 1 次;在这种情况下,我想删除整个 24 行(换句话说,我想删除该站的整个测量日)。

预期的输出是同一个文件,但没有满足我检查的 24xn 行。

在给出的示例中,预期输出为:

1_200061190 0 0.000000 202202150000 36.728195 14.993018
1_200061190 0 0.000000 202202150100 36.728195 14.993018
1_200061190 0 0.000000 202202150200 36.728195 14.993018
1_200061190 0 0.000000 202202150300 36.728195 14.993018
1_200061190 0 0.000000 202202150400 36.728195 14.993018
1_200061190 0 0.000000 202202150500 36.728195 14.993018
1_200061190 0 0.000000 202202150600 36.728195 14.993018
1_200061190 0 0.000000 202202150700 36.728195 14.993018
1_200061190 0 0.000000 202202150800 36.728195 14.993018
1_200061190 0 0.000000 202202150900 36.728195 14.993018
1_200061190 0 0.000000 202202151000 36.728195 14.993018
1_200061190 0 0.000000 202202151100 36.728195 14.993018
1_200061190 0 0.000000 202202151200 36.728195 14.993018
1_200061190 0 0.000000 202202151300 36.728195 14.993018
1_200061190 0 0.000000 202202151400 36.728195 14.993018
1_200061190 0 -99999 202202151500 36.728195 14.993018
1_200061190 0 0.000000 202202151600 36.728195 14.993018
1_200061190 0 0.000000 202202151700 36.728195 14.993018
1_200061190 0 0.000000 202202151800 36.728195 14.993018
1_200061190 0 0.000000 202202151900 36.728195 14.993018
1_200061190 0 0.000000 202202152000 36.728195 14.993018
1_200061190 0 0.000000 202202152100 36.728195 14.993018
1_200061190 0 0.000000 202202152200 36.728195 14.993018
1_200061190 0 0.000000 202202152300 36.728195 14.993018

欢迎提出任何建议! :-)

非常感谢!

一个 awk 使用 2 遍输入文件的想法:

awk '
FNR==NR { if ( == "-99999")             # 1st pass: collect count of "-99999" instances
             a[ FS  FS  FS ]++
          next
        }

 a[ FS  FS  FS ]+0 <= 1           # 2nd pass: print current line if "-99999" count <= 1; 
                                          # "+0" ==> force non-existent array entry to be processed as a numeric having value of "0"
' filename.txt filename.txt

这会生成:

1_200061190 0 0.000000 202202150000 36.728195 14.993018
1_200061190 0 0.000000 202202150100 36.728195 14.993018
1_200061190 0 0.000000 202202150200 36.728195 14.993018
1_200061190 0 0.000000 202202150300 36.728195 14.993018
1_200061190 0 0.000000 202202150400 36.728195 14.993018
1_200061190 0 0.000000 202202150500 36.728195 14.993018
1_200061190 0 0.000000 202202150600 36.728195 14.993018
1_200061190 0 0.000000 202202150700 36.728195 14.993018
1_200061190 0 0.000000 202202150800 36.728195 14.993018
1_200061190 0 0.000000 202202150900 36.728195 14.993018
1_200061190 0 0.000000 202202151000 36.728195 14.993018
1_200061190 0 0.000000 202202151100 36.728195 14.993018
1_200061190 0 0.000000 202202151200 36.728195 14.993018
1_200061190 0 0.000000 202202151300 36.728195 14.993018
1_200061190 0 0.000000 202202151400 36.728195 14.993018
1_200061190 0 -99999 202202151500 36.728195 14.993018
1_200061190 0 0.000000 202202151600 36.728195 14.993018
1_200061190 0 0.000000 202202151700 36.728195 14.993018
1_200061190 0 0.000000 202202151800 36.728195 14.993018
1_200061190 0 0.000000 202202151900 36.728195 14.993018
1_200061190 0 0.000000 202202152000 36.728195 14.993018
1_200061190 0 0.000000 202202152100 36.728195 14.993018
1_200061190 0 0.000000 202202152200 36.728195 14.993018
1_200061190 0 0.000000 202202152300 36.728195 14.993018

另一个 awk 需要单次通过输入文件的想法:

awk '

function print_block() {                 # dump lines from array to stdout
    if (count+0 <= 1)                    # if count <= 1 ...
       for (i=1;i<=lineno;i++)           # loop through array ...
           print lines[i]                # printing array entries to stdout
    delete lines                         # delete array entries
    count=lineno=0                       # reset counters
}
    { key= FS  FS  FS 

      if (key != prevkey) {              # if looking at a new key then ...
         print_block()                   # dump previous block of lines to stdout
         prevkey=key
      }

      if ( == "-99999")                # keep count of times we see "-99999"
         count++

      if (count <= 1)                    # if count <= 1 then ...
         lines[++lineno]=[=10=]              # save current line in array
    }

END { print_block() }                    # flush last block of lines to stdout
' filename.txt

注释:

  • 为给定键(又名站)保存行(在数组中),直到我们读取所有 24 行(或直到 -99999 计数大于 1),然后 ..
  • 如果 -99999 计数 <= 1,我们将行(从数组中)转储到标准输出
  • 但如果 -99999 计数 > 1,我们 'throw away' 行(在数组中)
  • 内存使用仅限于在数组中最多容纳 24 行所需的内容

这会生成:

1_200061190 0 0.000000 202202150000 36.728195 14.993018
1_200061190 0 0.000000 202202150100 36.728195 14.993018
1_200061190 0 0.000000 202202150200 36.728195 14.993018
1_200061190 0 0.000000 202202150300 36.728195 14.993018
1_200061190 0 0.000000 202202150400 36.728195 14.993018
1_200061190 0 0.000000 202202150500 36.728195 14.993018
1_200061190 0 0.000000 202202150600 36.728195 14.993018
1_200061190 0 0.000000 202202150700 36.728195 14.993018
1_200061190 0 0.000000 202202150800 36.728195 14.993018
1_200061190 0 0.000000 202202150900 36.728195 14.993018
1_200061190 0 0.000000 202202151000 36.728195 14.993018
1_200061190 0 0.000000 202202151100 36.728195 14.993018
1_200061190 0 0.000000 202202151200 36.728195 14.993018
1_200061190 0 0.000000 202202151300 36.728195 14.993018
1_200061190 0 0.000000 202202151400 36.728195 14.993018
1_200061190 0 -99999 202202151500 36.728195 14.993018
1_200061190 0 0.000000 202202151600 36.728195 14.993018
1_200061190 0 0.000000 202202151700 36.728195 14.993018
1_200061190 0 0.000000 202202151800 36.728195 14.993018
1_200061190 0 0.000000 202202151900 36.728195 14.993018
1_200061190 0 0.000000 202202152000 36.728195 14.993018
1_200061190 0 0.000000 202202152100 36.728195 14.993018
1_200061190 0 0.000000 202202152200 36.728195 14.993018
1_200061190 0 0.000000 202202152300 36.728195 14.993018
$ cat tst.awk
{ key =  FS  FS  FS  }
key != prev {
    prt()
    prev = key
}
 == -99999 { cnt++ }
{ rec = rec [=10=] ORS }
END { prt() }

function prt() {
    if ( cnt < 2 ) {
        printf "%s", rec
    }
    rec = cnt = ""
}

$ awk -f tst.awk file
1_200061190 0 0.000000 202202150000 36.728195 14.993018
1_200061190 0 0.000000 202202150100 36.728195 14.993018
1_200061190 0 0.000000 202202150200 36.728195 14.993018
1_200061190 0 0.000000 202202150300 36.728195 14.993018
1_200061190 0 0.000000 202202150400 36.728195 14.993018
1_200061190 0 0.000000 202202150500 36.728195 14.993018
1_200061190 0 0.000000 202202150600 36.728195 14.993018
1_200061190 0 0.000000 202202150700 36.728195 14.993018
1_200061190 0 0.000000 202202150800 36.728195 14.993018
1_200061190 0 0.000000 202202150900 36.728195 14.993018
1_200061190 0 0.000000 202202151000 36.728195 14.993018
1_200061190 0 0.000000 202202151100 36.728195 14.993018
1_200061190 0 0.000000 202202151200 36.728195 14.993018
1_200061190 0 0.000000 202202151300 36.728195 14.993018
1_200061190 0 0.000000 202202151400 36.728195 14.993018
1_200061190 0 -99999 202202151500 36.728195 14.993018
1_200061190 0 0.000000 202202151600 36.728195 14.993018
1_200061190 0 0.000000 202202151700 36.728195 14.993018
1_200061190 0 0.000000 202202151800 36.728195 14.993018
1_200061190 0 0.000000 202202151900 36.728195 14.993018
1_200061190 0 0.000000 202202152000 36.728195 14.993018
1_200061190 0 0.000000 202202152100 36.728195 14.993018
1_200061190 0 0.000000 202202152200 36.728195 14.993018
1_200061190 0 0.000000 202202152300 36.728195 14.993018