comparison label_encoder.py @ 14:9c19cf3c4ea0 draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb

13:c80db5d6fd8c

    outfile : str
        File path to output vector

    """
    warnings.simplefilter('ignore')

    with open(inputs, 'r') as param_handler:
        params = json.load(param_handler)

    input_header = params['header0']
    header = 'infer' if input_header else None

    input_vector = pd.read_csv(infile, sep='\t', header=header)

    le = LabelEncoder()

    output_vector = le.fit_transform(input_vector)

    np.savetxt(outfile, output_vector, fmt="%d", delimiter='\t')


if __name__ == '__main__':
    aparser = argparse.ArgumentParser()
    aparser.add_argument("-i", "--inputs", dest="inputs", required=True)
    aparser.add_argument("-y", "--infile", dest="infile")
    aparser.add_argument("-o", "--outfile", dest="outfile")
    args = aparser.parse_args()

14:9c19cf3c4ea0

    outfile : str
        File path to output vector

    """
    warnings.simplefilter("ignore")

    with open(inputs, "r") as param_handler:
        params = json.load(param_handler)

    input_header = params["header0"]
    header = "infer" if input_header else None

    input_vector = pd.read_csv(infile, sep="\t", header=header)

    le = LabelEncoder()

    output_vector = le.fit_transform(input_vector)

    np.savetxt(outfile, output_vector, fmt="%d", delimiter="\t")


if __name__ == "__main__":
    aparser = argparse.ArgumentParser()
    aparser.add_argument("-i", "--inputs", dest="inputs", required=True)
    aparser.add_argument("-y", "--infile", dest="infile")
    aparser.add_argument("-o", "--outfile", dest="outfile")
    args = aparser.parse_args()