Mercurial > repos > jay > pdaug_aa_property_based_peptide_descriptor

annotate PDAUG_Merge_Dataframes/PDAUG_Merge_Dataframes.py @ 1:ce7100c6884f draft

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"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit 3c91f421d26c8f42cf2671e47db735d2cf69dde8"
author jay
date Tue, 29 Dec 2020 04:27:12 +0000
parents fbd01647d7e6
children ee0f96a30d36
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fbd01647d7e6 "planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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1 import glob
fbd01647d7e6 "planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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2 import pandas as pd
fbd01647d7e6 "planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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3 import sys
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5 files = sys.argv[1]
fbd01647d7e6 "planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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6 out_file = sys.argv[2]
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9 data_frame = pd.read_csv(files.split(',')[0],sep='\t')
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12 for file in files.split(',')[1:]:
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14 df1 = pd.read_csv(file,sep='\t')
fbd01647d7e6 "planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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15 data_frame = pd.concat([data_frame,df1])
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17 final_DF = data_frame.fillna(0)
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19 final_DF.to_csv(out_file,sep="\t", index=False)
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