527fedb6dad0212f893f3f5a17ff42d4e6cf5a53,cnvlib/commands.py,,_cmd_segmetrics,#Any#,1426

Before Change

    deviations = [segbins.log2 - segment.log2
                  for segment, segbins in cnarr.by_ranges(segarr)]
    // Measures of spread
    for statname in ("StDev", "MAD", "IQR", "BiVar"):
        option = statname.lower()
        if getattr(args, option):
            func = stats[option]
            segarr[statname] = np.asfarray([func(d) for d in deviations])

After Change

    segarr = tabio.read_cna(args.segments)
    segments, segbins = zip(*cnarr.by_ranges(segarr))
    // Measures of location
    for statname in ("mean", "median", "mode"):
        if getattr(args, statname):
            func = stats[statname]
            segarr[statname] = np.asfarray([func(sb.log2) for sb in segbins])
    // Measures of spread
    deviations = [sb.log2 - seg.log2 for seg, sb in zip(segments, segbins)]
    for statname in ("stdev", "mad", "iqr", "bivar"):
        if getattr(args, statname):
            func = stats[statname]

Instances