xCAT/confluent
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Add auto-index determination to stats

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This allows it to auto-skip over units, for example.
This commit is contained in:
Jarrod Johnson 2019-05-10 10:34:56 -04:00
parent 2b86c878a8
commit e32d3cf4cc
1 changed files with 16 additions and 2 deletions
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18
confluent_client/bin/stats
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@ -83,11 +83,25 @@ args = aparser.parse_args(sys.argv[1:])
plotdata = []
data = sys.stdin.readline()
nodebydatum = {}
idx = args.c - 1
autoidx = False
while data:
node = None
if ':' in data:
node, data = data.split(':', 1)
datum = float(data.split()[args.c - 1])
if idx == -1:
while not autoidx:
try:
datum = float(data.split()[idx])
except ValueError:
idx -= 1
continue
except IndexError:
sys.stderr.write('Unable to identify a numerical column\n')
sys.exit(1)
autoidx = True
else:
datum = float(data.split()[idx])
if node:
if datum in nodebydatum:
nodebydatum[datum].add(node)
@ -100,7 +114,7 @@ if args.g or args.o or args.s:
n, bins = plot(args.g, args.o, plotdata, bins=args.b)
if args.t:
n, bins = textplot(plotdata, bins=args.b)
print('Samples: {5} Min: {3} Median: {0} Mean: {1} Max: {4} StandardDeviation: {2}'.format(np.median(plotdata), np.mean(plotdata), np.std(plotdata), np.min(plotdata), np.max(plotdata), len(plotdata)))
print('Samples: {5} Min: {3} Median: {0} Mean: {1} Max: {4} StandardDeviation: {2} Sum: {6}'.format(np.median(plotdata), np.mean(plotdata), np.std(plotdata), np.min(plotdata), np.max(plotdata), len(plotdata), np.sum(plotdata)))
if args.v and n is not None and nodebydatum:
print('')
currbin = bins[0]