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Top Forums UNIX for Beginners Questions & Answers Compare sum of two columns if variance is zero do nothing else send an email Post 303018231 by Tahir_M on Friday 1st of June 2018 05:44:03 AM
Old 06-01-2018
Please refer to this, let me know if i'm doing anything wrong?

Code:
cat Test1.sh
awk '
FNR == 1        {next
                }
FNR == NR       {if (/^Total/) SUM += $2*100
                 next
                }
                {SUM -= $6*100
                }
END             {if (SUM) print "Variance is not zero: ", SUM/100
                }
' Ariba.csv Pay.csv

cat Test2.sh
awk '
FNR == 1        {next
                }
FNR == NR       {if (/^Total/) SUM += $2
                 next
                }
                {SUM -= $6
                }
END             {if (SUM >= 0.01) print "Variance is not zero: ", SUM
                }
' Ariba.csv Pay.csv

O/P

Code:
./Test1.sh
Variance is not zero:  2.23578e+06
./Test2.sh
 Variance is not zero:  2.23578e+06

Moderator's Comments:
Mod Comment SERIOUSLY: Please use CODE tags as required by forum rules!

Last edited by RudiC; 06-01-2018 at 07:26 AM.. Reason: Added CODE tags.
 

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mlib_ImageStdDev(3MLIB) 				    mediaLib Library Functions					   mlib_ImageStdDev(3MLIB)

NAME
mlib_ImageStdDev - image standard deviation SYNOPSIS
cc [ flag... ] file... -lmlib [ library... ] #include <mlib.h> mlib_status mlib_ImageStdDev(mlib_d64 *sdev, const mlib_image *img, const mlib_d64 *mean); DESCRIPTION
The mlib_ImageStdDev() function computes the standard deviation for each channel in the source image. It uses the following equation: 1 w-1 h-1 sdev[i] = { ----- * SUM SUM (img[x][y][i] - mean[i])**2 }**0.5 w*h x=0 y=0 where, in the case of mean == NULL, 1 w-1 h-1 mean[i] = ----- * SUM SUM img[x][y][i] w*h x=0 y=0 PARAMETERS
The function takes the following arguments: sdev Pointer to standard deviation array, whose size is the number of channels in the source image. sdev[i] contains the standard devia- tion of channel i. img Pointer to input image. mean Pointer to pre-computed mean array for each channel. (If NULL, it will be computed.) mean[i] contains the mean of channel i. RETURN VALUES
The function returns MLIB_SUCCESS if successful. Otherwise it returns MLIB_FAILURE. ATTRIBUTES
See attributes(5) for descriptions of the following attributes: +-----------------------------+-----------------------------+ | ATTRIBUTE TYPE | ATTRIBUTE VALUE | +-----------------------------+-----------------------------+ |Interface Stability |Committed | +-----------------------------+-----------------------------+ |MT-Level |MT-Safe | +-----------------------------+-----------------------------+ SEE ALSO
mlib_ImageMean(3MLIB), mlib_ImageMean_Fp(3MLIB), mlib_ImageStdDev_Fp(3MLIB), attributes(5) SunOS 5.11 2 Mar 2007 mlib_ImageStdDev(3MLIB)
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