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Full Discussion: Compare sum of two columns if variance is zero do nothing else send an email
Top Forums UNIX for Beginners Questions & Answers Compare sum of two columns if variance is zero do nothing else send an email Post 303018204 by Tahir_M on Thursday 31st of May 2018 12:12:33 PM
Old 05-31-2018
Where Ariba is File1 and Pay is File2 as per actual post
Yes, I did!

I'm still a Layman but here is what I tried.

Code:
#!/bin/bash/sh
a=0.000000
for value in `cat Ariba.csv  | grep Total | tr -s " " " " | cut -d " " -f2`
do
a=$(echo $a + $value | bc)
done
echo $a
b=0.000000
for value2 in `cat Pay.csv | cut -d "," -f7 | sed -e 's/^"//g' -e 's/"$//g'`
do
b=$(echo $b + $value2 | bc)
done
echo $b
if [ $a = $b ]
then
echo "Total is same"
else
echo "Mismatch in total"
fi

---------- Post updated at 09:42 PM ---------- Previous update was at 09:40 PM ----------

I also tried this...

Code:
sed '1d' Pay.csv > tmpfile; mv tmpfile Pay.csv
awk -F, '{total+= $7;print (total)}' Pay.csv >Total1.txt



file1="Ariba.txt"

while IFS= read -r line
do
                a="$(cut -d'' -f1 <<<"$line")"
                if [ "$a" = "Total:" ]
                then
                                b="$(cut -d'' -f4 <<<"$line")"
                                echo "$b"
                                var1=$(( $var1 + $b ))
                fi
done <"$file1"

echo "Total from Ariba.csv is : $var1" >Total2.txt

Where Ariba is file1 and Pay is File2
Last edited by Tahir_M; 05-31-2018 at 01:13 PM.. Reason: adding file names
 

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OCR4GAMERA(1)															     OCR4GAMERA(1)

NAME

       ocr4gamera - OCR system using the Gamera framework

USAGE

       ocr4gamera -x <traindata> [options] <imagefile>

OPTIONS

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	      Set verbosity level to <int>.  Possible values are 0 (default): silent operation; 1:  information on progress; >2: segmentation info
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       -h, --help
	      Display help and exit.

       -d, --deskew
	      Do a skew correction (recommended).

       -f, --filter
	      Filter out very large (images) and very small components (noise).

       -a, --automatic-group
	      Autogroup glyphs with classifier.

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	      Read training data from <file>.

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	      Write recognized text to file <xml> (otherwise it is written to stdout).

       -c <csv>, --extra_chars_csvfile=<csv>
	      Read additional class name conversions from file <csv>.  <csv> must contain one conversion per line.

       -R <rules>, --heuristic_rules=<rules>
	      Apply heuristic rules <rules> for disambiguation of some chars.  <rules> can be roman (default) or none (for no rules).

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	      Correct words using a dictionary (requires aspell or ispell).

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