I have a big CSV file (5Go). The header is:
run number,export,downerQ,coefUpQuality,chooseMode,demandF,nbPLots,standarDevPop,nbCitys,whatWord,priceMaxWineF,marketColor,[step],giniIndexReserve,giniIndexPatch,meanQualityTotal,meanQualityMountain,meanQualityPlain,DiffExtCentral,nbcentralPlots,meanPatchByNetwork,sum_q_viti_moutain,sum_q_viti_plaine
"3","false","0.5","0.01","false","7000","10","2","10","0","70","false","0","0","0.07083333333333335","0","0","0","0","0","0","48","0"
"4","false","0.5","0.01","false","7000","10","2","10","0","70","false","0","0","0.04285714285714286","0","0","0","0","0","0","42","0"
"2","false","0.5","0.01","false","7000","10","2","10","0","70","false","0","0","0.05348837209302328","0","0","0","0","0","0","43","0"
I would like keep only rows that contain "500" in the field [step] (the thirteenth field).
Does someone have a solution with tools like sed
, awk
or any other command?
awk seems the way to go:
awk -F, 'NR == 1 || $13 == "\"500\""' filename
Where NR == 1
is to preserve the first line (the header), and after that it's only lines of which the 13th field is "500"
.
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