{"id":20443,"date":"2022-11-09T17:34:56","date_gmt":"2022-11-09T12:04:56","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-extract-rows-having-the-11th-column-values-lies-between-2nd-and-3nd-of-a-second-file-if-1st-column-matches\/"},"modified":"2022-11-09T17:34:56","modified_gmt":"2022-11-09T12:04:56","slug":"solved-extract-rows-having-the-11th-column-values-lies-between-2nd-and-3nd-of-a-second-file-if-1st-column-matches","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-extract-rows-having-the-11th-column-values-lies-between-2nd-and-3nd-of-a-second-file-if-1st-column-matches\/","title":{"rendered":"[Solved] Extract rows having the 11th column values lies between 2nd and 3nd of a second file if 1st column matches"},"content":{"rendered":"

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A simple function to extract the Nth column from your text makes this reasonably straight-forward. I’ve assumed when you say “Column 11” you mean, the 11 column counting from 1, not the index-11 column where the 1st item is index-0<\/p>\n

Pseudo-Code:<\/p>\n

Until there's no data left ~\n    Read line1 from file1\n    Read line2 from file2\n    Extract Col11 from line1 as a real number\n    Extract Col2 & Col3 from line2 as real numbers\n    IF Col11 is within Col2 & Col3\n        do something\n<\/code><\/pre>\n
Python Code:<\/p>\n
import sys\n\n# Given a space-separated row of data, return the Nth column as a real number\ndef getNthColumn(row, N):\n    # Single-space the row, removing tabs, double-spaces etc.\n    row = ' '.join(row.split())\n    fields = row.split(' ')\n    result = float(fields[N-1])   # fields are numbered 0->(N-1)\n    #print(\"Returning column %d from [%s] -> %f\" % (N, row, result))\n    return result\n\nif (len(sys.argv) == 3):\n    fin1 = open(sys.argv[1], \"rt\")\n    fin2 = open(sys.argv[2], \"rt\")  #TODO - handle file-not-found errors, etc.\n\n    line1 = fin1.readline()\n    line2 = fin2.readline()\n    while (line1 != \"\" and line2 != \"\"):\n        # Get the columns from the two lines\n        f1_col11 = getNthColumn(line1, 11)\n        f2_col2  = getNthColumn(line2,  2)\n        f2_col3  = getNthColumn(line2,  3)  ### TODO handle errors\n        # work out if it's a keeper\n        # print(\"Is %f >= %f and %f <= %f\" % (f1_col11, f2_col2, f1_col11, f2_col3))\n        if (f1_col11 >= f2_col2 and f1_col11 <= f2_col3):\n            print(\"MATCH: \"+line1)\n        else:\n            print(\"NO-MATCH: \"+line1)\n        # Next rows\n        line1 = fin1.readline()\n        line2 = fin2.readline()\nelse:\n    print(\"Give 2 files as arguments\")\n<\/code><\/pre>\n
To be honest, if speed really is critical for this, it would be better to write it in a compiled language, e.g.: C\/C++\/Pascal, etc. etc.<\/p>\n
EDIT: tested and working, added some debug print()s<\/p>\n
EDIT2: Search file1-row against all rows in file2<\/p>\n
import sys\n\n# Hold all the file2 Columns\nfile2_col23 = []\n\n# Given a space-separated row of data, return the Nth column as a real number\ndef getNthColumn(row, N):\n    # Single-space the row, removing tabs, double-spaces etc.\n    row = ' '.join(row.split())\n    fields = row.split(' ')\n    try:\n        result = float(fields[N-1])   # fields are numbered 0->(N-1)\n    except:\n        sys.stderr.write(\"Failed to fetch number column %d from [%s]\" % (N, row))\n        sys.exit(1)\n    #print(\"Returning column %d from [%s] -> %f\" % (N, row, result))\n    return result\n\nif (len(sys.argv) == 3):\n    fin1 = open(sys.argv[1], \"rt\")\n    fin2 = open(sys.argv[2], \"rt\")  #TODO - handle file-not-found errors, etc.\n\n    # Load in the whole of file2, but just the column2 & column3\n    # note the minimum col2 and maximum c3\n    line2 = fin2.readline()\n    min_c2 = None\n    max_c3 = None\n    while (line2 != \"\"):\n        col2 = getNthColumn(line2, 2)\n        col3 = getNthColumn(line2, 3)\n        file2_col23.append( ( col2, col3 ) )\n        # Note the min c2 and max c3 so we can quickly know if a search can\n        # possible produce a result\n        if (min_c2 == None or col2 < min_c2):\n            min_c2 = col2\n        if (max_c3 == None or col3 > max_c3):\n            max_c3 = col3\n        # next line\n        line2 = fin2.readline().strip()\n\n    # sort the columns to allow us to short-cut searching\n    file2_col23.sort()\n\n\n    line1 = fin1.readline()\n    while (line1 != \"\"):\n        col11 = getNthColumn(line1, 11)\n\n        matched = False\n        # is col11 is within any file2 row col2 or col3\n        if (col11 >= min_c2 and col11 <= max_c3):   # make sure the search is worthwhile\n            for col23 in file2_col23:\n                (col2, col3) = col23\n                if (col11 >= col2 and col11 <= col3):\n                    matched = True\n                    break\n\n        if (matched == True):\n            print(\"MATCH: \"+str(line1))\n        else:\n            print(\"NO-MATCH: \"+str(line1))\n\n        # Next row\n        line1 = fin1.readline()\nelse:\n    print(\"Give 2 files as arguments\")\n<\/code><\/pre>\n<\/p><\/div>\n
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            9<\/span> <\/p><\/div>\n<\/div>\n
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solved Extract rows having the 11th column values lies between 2nd and 3nd of a second file if 1st column matches <\/p>\n","protected":false},"excerpt":{"rendered":"
[ad_1] A simple function to extract the Nth column from your text makes this reasonably straight-forward. I’ve assumed when you say “Column 11” you mean, the 11 column counting from 1, not the index-11 column where the 1st item is index-0 Pseudo-Code: Until there’s no data left ~ Read line1 from file1 Read line2 from … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[349],"class_list":["post-20443","post","type-post","status-publish","format-standard","hentry","category-solved","tag-python"],"yoast_head":"\n[Solved] Extract rows having the 11th column values lies between 2nd and 3nd of a second file if 1st column matches - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-extract-rows-having-the-11th-column-values-lies-between-2nd-and-3nd-of-a-second-file-if-1st-column-matches\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Extract rows having the 11th column values lies between 2nd and 3nd of a second file if 1st column matches - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] A simple function to extract the Nth column from your text makes this reasonably straight-forward. 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