Mercurial > repos > bgruening > ml_visualization_ex

comparison label_encoder.py @ 12:6c787aeeac06 draft default tip

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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 80417bf0158a9b596e485dd66408f738f405145a
author bgruening
date Mon, 02 Oct 2023 08:27:46 +0000
parents 9e8a3fdf5526
children
comparison
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11:840ef9fe2482 12:6c787aeeac06
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()