64624fb2b46a228fef1141e1ded84e52acccaf6e,bin/mahotas-features.py,,main,#,56

Before Change

For example, use --haralick switch to compute Haralick features\n""")
        sys.exit(1)

    features = []
    colnames = []
    first = True
    for fname in args.fnames:
        cur = []
        im = read_bw(fname, args)
        if args.haralick:
            har = mh.features.haralick(im, return_mean_ptp=True)
            cur.append(har)
            if first:
                colnames.extend(mh.features.texture.haralick_labels[:-1])
                colnames.extend(["ptp:{}".format(ell) for ell in mh.features.texture.haralick_labels[:-1]])

        features.append(np.concatenate(cur))
        first = False

    features = np.array(features)
    try:
        import pandas as pd
        features = pd.DataFrame(features, index=args.fnames, columns=colnames)
        features.to_csv(args.output, sep="\t")
    except ImportError:
        np.savetxt(args.output, features)

After Change

                args.output.write(cname)
            args.output.write("\n")
            first = False
        for fs in cur:
            args.output.write(fname)
            for f in fs:
                args.output.write("\t")
                args.output.write("{:.8}".format(f))
            args.output.write("\n")

if __name__ == "__main__":
    main()

Instances