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Add auto-index determination to stats
This allows it to auto-skip over units, for example.
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@ -83,11 +83,25 @@ args = aparser.parse_args(sys.argv[1:])
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plotdata = []
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data = sys.stdin.readline()
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nodebydatum = {}
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idx = args.c - 1
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autoidx = False
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while data:
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node = None
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if ':' in data:
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node, data = data.split(':', 1)
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datum = float(data.split()[args.c - 1])
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if idx == -1:
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while not autoidx:
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try:
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datum = float(data.split()[idx])
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except ValueError:
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idx -= 1
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continue
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except IndexError:
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sys.stderr.write('Unable to identify a numerical column\n')
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sys.exit(1)
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autoidx = True
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else:
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datum = float(data.split()[idx])
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if node:
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if datum in nodebydatum:
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nodebydatum[datum].add(node)
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@ -100,7 +114,7 @@ if args.g or args.o or args.s:
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n, bins = plot(args.g, args.o, plotdata, bins=args.b)
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if args.t:
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n, bins = textplot(plotdata, bins=args.b)
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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)))
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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)))
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if args.v and n is not None and nodebydatum:
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print('')
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currbin = bins[0]
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