Mercurial > repos > jay > pdaug_tsvtofasta
comparison PDAUG_Peptide_Data_Plotting/PDAUG_Peptide_Data_Plotting.py @ 0:c3f0b3a6339e draft
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
author | jay |
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date | Wed, 28 Oct 2020 01:47:48 +0000 |
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-1:000000000000 | 0:c3f0b3a6339e |
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1 from modlamp.plot import helical_wheel | |
2 from modlamp.plot import plot_pde | |
3 from modlamp.plot import plot_violin | |
4 from modlamp.plot import plot_aa_distr | |
5 import pandas as pd | |
6 import argparse | |
7 import sys, os | |
8 | |
9 | |
10 | |
11 parser = argparse.ArgumentParser(description='Deployment tool') | |
12 subparsers = parser.add_subparsers() | |
13 | |
14 HelWhl = subparsers.add_parser('HelWhl') | |
15 | |
16 HelWhl.add_argument("-I","--InFile", required=True, default=None, help="Input data file") | |
17 HelWhl.add_argument("-C","--colorcoding", required=False, default='rainbow', help="available: , charge, polar, simple, amphipathic, none") | |
18 HelWhl.add_argument("-L","--lineweights", required=False, default=True, help="(boolean) defines whether connection lines decrease in thickness along the sequence") | |
19 HelWhl.add_argument("-F","--filename", required=False, default="out.png", help="") | |
20 HelWhl.add_argument("-s","--seq", required=False, default=False, help="") | |
21 HelWhl.add_argument("-M","--movment", required=False, default=False, help="") | |
22 HelWhl.add_argument("-O", "--OutFile", required=False, default="out.png", help="OutFile") | |
23 | |
24 | |
25 PltPde = subparsers.add_parser('PltPde') | |
26 PltPde.add_argument("-I","--InFile", required=True, default=None, help="Input data file") | |
27 PltPde.add_argument("-l", "--ClmList", required=True, default=None, help="") | |
28 PltPde.add_argument("-F","--filename", required=False, default="out.png", help="filename where to safe the plot. default = None > show the plot") | |
29 PltPde.add_argument("-O", "--OutFile", required=False, default="out.png", help="OutFile") | |
30 | |
31 PltVio = subparsers.add_parser('PltVio') | |
32 PltVio.add_argument("-I","--InFile", required=True, default=None, help="Input data file") | |
33 PltVio.add_argument("-l", "--ClmList", required=True, default=None, help="Column list") | |
34 PltVio.add_argument("-C","--colors", required=False, default=None, help='Data to be plotted') | |
35 PltVio.add_argument("-B","--bp", required=False, default=False, help="Print a box blot inside violin") | |
36 PltVio.add_argument("-T","--title", required=False, default=None, help="Title of the plot.") | |
37 PltVio.add_argument("-a","--axlabels", required=False, default=None, help="list containing the axis labels for the plot") | |
38 PltVio.add_argument("-M","--y_max", required=False, default=1, help='y-axis maximum.') | |
39 PltVio.add_argument("-m","--y_min", required=False, default=0, help="y-axis minimum.") | |
40 PltVio.add_argument("-O", "--OutFile", required=False, default="out.png", help="OutFile") | |
41 | |
42 | |
43 PltAaDis = subparsers.add_parser('PltAaDis') | |
44 PltAaDis.add_argument("-I","--InFile", required=True, default=None, help="Input data file") | |
45 PltAaDis.add_argument("-O", "--OutFile", required=False, default="out.png", help="OutFile") | |
46 | |
47 args = parser.parse_args() | |
48 | |
49 | |
50 if sys.argv[1] == 'HelWhl': | |
51 | |
52 f = open(args.InFile) | |
53 lines = f.readlines() | |
54 sequence = lines[1].strip('\n') | |
55 | |
56 if args.movment == 'true': | |
57 mvt = True | |
58 else: | |
59 mvt = False | |
60 | |
61 if args.seq == 'true': | |
62 sq = True | |
63 else: | |
64 sq = False | |
65 | |
66 if args.lineweights == 'true': | |
67 lw = True | |
68 else: | |
69 lw = False | |
70 | |
71 helical_wheel(sequence, colorcoding=args.colorcoding, lineweights=args.lineweights, filename=args.OutFile, seq=args.seq, moment=mvt) | |
72 | |
73 | |
74 elif sys.argv[1] == 'PltPde': | |
75 | |
76 df = pd.read_csv(args.InFile, sep="\t") | |
77 | |
78 data = df[args.ClmList.split(',')].as_matrix().T | |
79 | |
80 plot_pde(data, filename=args.OutFile) | |
81 | |
82 elif sys.argv[1] == 'PltVio': | |
83 | |
84 df = pd.read_csv(args.InFile, sep="\t") | |
85 | |
86 data = df[args.ClmList.split(',')].as_matrix().T | |
87 | |
88 c = ['#0B486B']*len(args.ClmList.split(',')) | |
89 | |
90 plot_violin(data, colors=c, bp=True, filename=args.OutFile) | |
91 | |
92 | |
93 elif sys.argv[1] == 'PltAaDis': | |
94 | |
95 f = open(args.InFile) | |
96 lines = f.readlines() | |
97 | |
98 sequences = [] | |
99 | |
100 for line in lines: | |
101 if '>' in line: | |
102 pass | |
103 else: | |
104 sequences.append(line.strip('\n')) | |
105 | |
106 plot_aa_distr(sequences, color='#0B486B', filename=args.OutFile) | |
107 | |
108 | |
109 | |
110 | |
111 | |
112 | |
113 | |
114 | |
115 |