annotate PDAUG_AddClassLabel/PDAUG_AddClassLabel.py @ 3:f95354b0619f draft

"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit edb37634e419f75dd66292e712de51278746d883"
author jay
date Wed, 30 Dec 2020 03:36:51 +0000
parents 9e347250e3a1
children
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9e347250e3a1 "planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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1 import pandas as pd
9e347250e3a1 "planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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2 import argparse
9e347250e3a1 "planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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4 parser = argparse.ArgumentParser()
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6 parser.add_argument("-I", "--InFile", required=True, default=None, help="Input data file")
9e347250e3a1 "planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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7 parser.add_argument("-C", "--ClassLabel", required=False, default=0, help="Class Label 0 or 1")
9e347250e3a1 "planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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8 parser.add_argument("-t", "--ClassLabelTitle", required=False, default='Class_label', help="Title to use for class label column (Class_label)")
9e347250e3a1 "planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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9 parser.add_argument("-O", "--OutFile", required=False, default='OutFile.tsv', help="Output file name")
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11 args = parser.parse_args()
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13 df1 = pd.read_csv(args.InFile, sep="\t")
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14 df2 = pd.DataFrame([args.ClassLabel]*df1.shape[0], columns=[args.ClassLabelTitle])
9e347250e3a1 "planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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16 df = pd.concat([df1, df2], axis=1)
9e347250e3a1 "planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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17 df.to_csv(args.OutFile, sep="\t", index=False)