Mercurial > repos > bgruening > sklearn_numeric_clustering

comparison label_encoder.py @ 40:06d772036a62 draft

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 9981e25b00de29ed881b2229a173a8c812ded9bb
author bgruening
date Wed, 09 Aug 2023 13:11:48 +0000
parents 73e7f1c76ece
children
comparison
equal deleted inserted replaced
39:7dd3fb35904f 40:06d772036a62
19 19
20 outfile : str 20 outfile : str
21 File path to output vector 21 File path to output vector
22 22
23 """ 23 """
24 warnings.simplefilter('ignore') 24 warnings.simplefilter("ignore")
25 25
26 with open(inputs, 'r') as param_handler: 26 with open(inputs, "r") as param_handler:
27 params = json.load(param_handler) 27 params = json.load(param_handler)
28 28
29 input_header = params['header0'] 29 input_header = params["header0"]
30 header = 'infer' if input_header else None 30 header = "infer" if input_header else None
31 31
32 input_vector = pd.read_csv(infile, sep='\t', header=header) 32 input_vector = pd.read_csv(infile, sep="\t", header=header)
33 33
34 le = LabelEncoder() 34 le = LabelEncoder()
35 35
36 output_vector = le.fit_transform(input_vector) 36 output_vector = le.fit_transform(input_vector)
37 37
38 np.savetxt(outfile, output_vector, fmt="%d", delimiter='\t') 38 np.savetxt(outfile, output_vector, fmt="%d", delimiter="\t")
39 39
40 40
41 if __name__ == '__main__': 41 if __name__ == "__main__":
42 aparser = argparse.ArgumentParser() 42 aparser = argparse.ArgumentParser()
43 aparser.add_argument("-i", "--inputs", dest="inputs", required=True) 43 aparser.add_argument("-i", "--inputs", dest="inputs", required=True)
44 aparser.add_argument("-y", "--infile", dest="infile") 44 aparser.add_argument("-y", "--infile", dest="infile")
45 aparser.add_argument("-o", "--outfile", dest="outfile") 45 aparser.add_argument("-o", "--outfile", dest="outfile")
46 args = aparser.parse_args() 46 args = aparser.parse_args()