Mercurial > repos > jay > pdaug_tsvtofasta
comparison PDAUG_Merge_Dataframes/PDAUG_Merge_Dataframes.py @ 6:391e7e836fe9 draft
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit 45ebf32dcaa1eed91670d3a2491f9cf3dfb535ef"
author | jay |
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date | Tue, 12 Jan 2021 18:40:09 +0000 |
parents | c3f0b3a6339e |
children |
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5:f93187136dfb | 6:391e7e836fe9 |
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1 import glob | 1 import glob |
2 import pandas as pd | 2 import pandas as pd |
3 import sys | 3 import sys |
4 | 4 |
5 files = sys.argv[1] | 5 |
6 out_file = sys.argv[2] | 6 def MergeData(infiles, add_class_label, class_label, OutPut): |
7 | |
8 data_frame = pd.DataFrame() | |
9 | |
10 if add_class_label == 'True' or add_class_label == 'true': | |
11 for i, file in enumerate(infiles.split(',')): | |
12 df1 = pd.read_csv(file,sep='\t') | |
13 df2 = pd.DataFrame(df1.shape[0]*[i], columns=[class_label]) | |
14 df3 = pd.concat([df1,df2], axis=1) | |
15 data_frame = pd.concat([data_frame,df3]) | |
16 final_DF = data_frame.fillna(0) | |
17 | |
18 else: | |
19 | |
20 for file in infiles.split(','): | |
21 df1 = pd.read_csv(file,sep='\t') | |
22 data_frame = pd.concat([data_frame,df1]) | |
23 final_DF = data_frame.fillna(0) | |
24 | |
25 final_DF.to_csv(OutPut, sep="\t", index=False) | |
7 | 26 |
8 | 27 |
9 data_frame = pd.read_csv(files.split(',')[0],sep='\t') | 28 if __name__=="__main__": |
10 | 29 |
30 import argparse | |
31 parser = argparse.ArgumentParser() | |
32 parser.add_argument("-I", "--infiles", required=True, default=None, help=".tsv") | |
33 parser.add_argument("-L", "--add_class_label", required=False, default=False, help="Path to target tsv file") | |
34 parser.add_argument("-C", "--class_label", required=False, default='class_label', help="Path to target tsv file") | |
35 parser.add_argument("-O", "--OutPut", required=False, default='Out.tsv', help="Path to target tsv file") | |
11 | 36 |
12 for file in files.split(',')[1:]: | 37 args = parser.parse_args() |
13 | 38 |
14 df1 = pd.read_csv(file,sep='\t') | 39 MergeData(args.infiles, args.add_class_label, args.class_label, args.OutPut) |
15 data_frame = pd.concat([data_frame,df1]) | |
16 | |
17 final_DF = data_frame.fillna(0) | |
18 | |
19 final_DF.to_csv(out_file,sep="\t", index=False) | |
20 | |
21 | |
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28 |