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awk - Convert scientific notation to decimal in multiple fields

The following works great on my data in column 12 but I have over 70 columns that are not all the same and I need to output all of the columns, the converted ones replacing the scientific values.

 awk -F',' '{printf "%.41f
", $12}' $file

Thanks

This is one line..

2012-07-01T21:59:50,2012-07-01T21:59:00,1817,22901,264,283,549,1,2012-06-24T13:20:00,2.600000000000000e+001,4.152327506554059e+001,-7.893523806678388e+001,5.447572631835938e+002,2.093000000000000e+003,5.295000000000000e+003,1,194733,1.647400093078613e+001,31047680,1152540,29895140,4738,1.586914062500000e+000,-1.150000000000000e+002,0.000000000000000e+000,0.000000000000000e+000,0.000000000000000e+000,0.000000000000000e+000,0.000000000000000e+000,0.000000000000000e+000,0.000000000000000e+000,3.606000000000000e+003,0.000000000000000e+000,0.000000000000000e+000,0.000000000000000e+000,4.557073364257813e+002,0.000000000000000e+000,0.000000000000000e+000,0.000000000000000e+000,11,0.000000000000000e+000,2.000000000000000e+000,0,0,0,0,4.466836981009692e-004,0.000000000000000e+000,0.000000000000000e+000,0.000000000000000e+000,8,0,840,1,600,1,6,1,1,1,5,2,2,2,1,1,1,1,4854347,0,-

UPDATE

This is working for the non converted output. I am having a bit of trouble inserting an else if statement for some reason. Everything seems to give me a syntax error in a file or on cli.

awk -F',' '{for (i=1;i<=NF;i++) {if (i <= 9||i == 16||i == 17||i == 19||i == 20||i == 21||i == 22|| i == 40|| i == 43||i == 44||i == 45||i == 46||i >= 51) printf ($i",")};}' $file

I would like to insert the following statement into the code above??

else if (i == 10) printf ("%.41f", $i)

SOLVED

Got it worked out. Thanks for all the great ideas. I can't seem to make it work in a file with awk -f but on the command line this is working great. I put this one liner in my program.

awk -F',' '{for (i=1;i<=NF;i++) {if (i <= 9||i == 16||i == 17||i >= 19&&i <= 22|| i == 40|| i >= 43&&i <= 46||i >= 51&&i <= 70) printf($i","); else if (i == 10||i == 18) printf("%.2f,", $i); else if (i == 11||i == 12) printf("%.41f,", $i); else if (i == 13) printf("%.1f,", $i); else if (i == 14||i == 15||i >= 24&&i <= 46) printf ("%d,", $i); else if (i == 23) printf("%.4f,", $i); else if (i >= 47&&i <= 50) printf("%.6f,", $i); if (i == 71) printf ($i"
")};}'

RESULT

2012-07-01T21:59:50,2012-07-01T21:59:00,1817,22901,264,283,549,1,2012-06-24T13:20:00,26.00,41.52327506554058800247730687260627746582031,-78.93523806678388154978165403008460998535156,544.8,2093,5295,1,194733,16.47,31047680,1152540,29895140,4738,1.5869,-115,0,0,0,0,0,0,0,3606,0,0,0,455,0,0,0,11,0,2,0,0,0,0,0.000447,0.000000,0.000000,0.000000,8,0,840,1,600,1,6,1,1,1,5,2,2,2,1,1,1,1,4854347,0,-
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You can do regex matching in a loop to choose the format for each field since numbers are also strings in AWK:

#!/usr/bin/awk -f
BEGIN {
    d = "[[:digit:]]"
    OFS = FS = ","
}
{
    delim = ""
    for (i = 1; i <= NF; i++) {
        if ($i ~ d "e+" d d d "$") {
            printf "%s%.41f", delim, $i
        }
        else {
            printf "%s%s", delim, $i
        }
        delim = OFS
    }
    printf "
"
}

Edit:

I've changed the version above so you can see how it would be used in a file as an AWK script. Save it (I'll call it "scinote") and set it as executable chmod u+x scinote, then you can run it like this: ./scinote inputfile

I've also modified the latest version you added to your question to make it a little simpler and so it's ready to go into a script file as above.

#!/usr/bin/awk -f
BEGIN {
    plainlist = "16 17 19 20 21 22 40 43 44 45 46"
    split(plainlist, arr)
    for (i in arr) {
        plainfmt[arr[i]] = "%s"
    }
    OFS = FS = ","
}
{
    delim = ""
    for (i = 1; i <= NF; i++) {
        printf "%s", delim
        if (i <= 9 || i in plainfmt || i >= 51) {
            printf plainfmt[i], $i
        }
        else if (i == 10) {
            printf "%.41f", $i
        }
        else if (i == 12) {
            printf "%.12f", $i
        }
        delim = OFS
    }
    printf "
"
}

If you had more fields with other formats (rather than just one per), you could do something similar to the plainfmt array.


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