Mercurial > repos > yufei-luo > s_mart
comparison smart_toolShed/SMART/Java/Python/plotCsv.py @ 0:e0f8dcca02ed
Uploaded S-MART tool. A toolbox manages RNA-Seq and ChIP-Seq data.
author | yufei-luo |
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date | Thu, 17 Jan 2013 10:52:14 -0500 |
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-1:000000000000 | 0:e0f8dcca02ed |
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1 #! /usr/bin/env python | |
2 # | |
3 # Copyright INRA-URGI 2009-2010 | |
4 # | |
5 # This software is governed by the CeCILL license under French law and | |
6 # abiding by the rules of distribution of free software. You can use, | |
7 # modify and/ or redistribute the software under the terms of the CeCILL | |
8 # license as circulated by CEA, CNRS and INRIA at the following URL | |
9 # "http://www.cecill.info". | |
10 # | |
11 # As a counterpart to the access to the source code and rights to copy, | |
12 # modify and redistribute granted by the license, users are provided only | |
13 # with a limited warranty and the software's author, the holder of the | |
14 # economic rights, and the successive licensors have only limited | |
15 # liability. | |
16 # | |
17 # In this respect, the user's attention is drawn to the risks associated | |
18 # with loading, using, modifying and/or developing or reproducing the | |
19 # software by the user in light of its specific status of free software, | |
20 # that may mean that it is complicated to manipulate, and that also | |
21 # therefore means that it is reserved for developers and experienced | |
22 # professionals having in-depth computer knowledge. Users are therefore | |
23 # encouraged to load and test the software's suitability as regards their | |
24 # requirements in conditions enabling the security of their systems and/or | |
25 # data to be ensured and, more generally, to use and operate it in the | |
26 # same conditions as regards security. | |
27 # | |
28 # The fact that you are presently reading this means that you have had | |
29 # knowledge of the CeCILL license and that you accept its terms. | |
30 # | |
31 """ | |
32 Plot the data from the data files | |
33 """ | |
34 | |
35 import os | |
36 import re | |
37 from optparse import OptionParser | |
38 from SMART.Java.Python.misc.RPlotter import * | |
39 from SMART.Java.Python.misc.Progress import * | |
40 | |
41 | |
42 def mergeData(line1, line2): | |
43 if line1.keys() != line2.keys(): | |
44 sys.exit("Error! Input files do not correspond to each other! Aborting...") | |
45 mergedData = {} | |
46 for key in line1: | |
47 mergedData[key] = (line1[key], line2[key]) | |
48 return mergedData | |
49 | |
50 | |
51 | |
52 if __name__ == "__main__": | |
53 | |
54 # parse command line | |
55 description = "Plot CSV v1.0.1: Plot the content of a CSV file. [Category: Personnal]" | |
56 | |
57 parser = OptionParser(description = description) | |
58 parser.add_option("-i", "--input", dest="inputFileNames", action="store", type="string", help="input file [compulsory] [format: file in CSV format]") | |
59 parser.add_option("-o", "--output", dest="outputFileName", action="store", type="string", help="output file [compulsory] [format: output file in PNG format]") | |
60 parser.add_option("-s", "--shape", dest="shape", action="store", type="string", help="shape of the plot [format: choice (line, bar, points, heatPoints)]") | |
61 parser.add_option("-l", "--log", dest="log", action="store", default="", type="string", help="use log on x- or y-axis (write 'x', 'y' or 'xy') [format: string] [default: ]") | |
62 parser.add_option("-v", "--verbosity", dest="verbosity", action="store", default=1, type="int", help="trace level [format: int]") | |
63 (options, args) = parser.parse_args() | |
64 | |
65 plotter = RPlotter(options.outputFileName, options.verbosity) | |
66 if options.shape == "bar": | |
67 plotter.setBarplot(True) | |
68 elif options.shape == "points": | |
69 plotter.setPoints(True) | |
70 elif options.shape == "heatPoints": | |
71 plotter.setHeatPoints(True) | |
72 | |
73 plotter.setLog(options.log) | |
74 | |
75 lines = [] | |
76 nbsColumns = [] | |
77 for inputFileName in options.inputFileNames.split(","): | |
78 inputFile = open(inputFileName) | |
79 line = {} | |
80 nbColumns = None | |
81 | |
82 for point in inputFile: | |
83 point = point.strip() | |
84 | |
85 m = re.search(r"^\s*(\S+)\s+(\d+\.?\d*)\s+(\d+\.?\d*)\s*$", point) | |
86 if m != None: | |
87 line[m.group(1)] = (float(m.group(2)), float(m.group(3))) | |
88 if nbColumns == None: | |
89 nbColumns = 3 | |
90 nbsColumns.append(nbColumns) | |
91 elif nbColumns != 3: | |
92 sys.exit("Number of columns changed around line '%s' of file '%s'! Aborting..." % (point, inputFileName)) | |
93 else: | |
94 m = re.search(r"^\s*(\d+\.?\d*)\s+(\d+\.?\d*)\s*$", point) | |
95 if m != None: | |
96 line[float(m.group(1))] = float(m.group(2)) | |
97 if nbColumns == None: | |
98 nbColumns = 2 | |
99 nbsColumns.append(nbColumns) | |
100 if nbColumns != 2: | |
101 sys.exit("Number of columns changed around line '%s' of file '%s'! Aborting..." % (point, inputFileName)) | |
102 else: | |
103 m = re.search(r"^\s*(\S+)\s+(\d+\.?\d*)\s*$", point) | |
104 if m != None: | |
105 line[m.group(1)] = float(m.group(2)) | |
106 if nbColumns == None: | |
107 nbColumns = 1 | |
108 nbsColumns.append(nbColumns) | |
109 if nbColumns != 1: | |
110 sys.exit("Number of columns changed around line '%s' of file '%s'! Aborting..." % (point, inputFileName)) | |
111 else: | |
112 sys.exit("Do not understand line '%s' of file '%s'! Aborting..." % (point, inputFileName)) | |
113 | |
114 lines.append(line) | |
115 | |
116 if len(lines) != len(nbsColumns): | |
117 sys.exit("Something is wrong in the input files! Aborting...") | |
118 | |
119 if options.shape == "bar": | |
120 if len(lines) != 1: | |
121 sys.exit("Error! Bar plot should have exactly one input file! Aborting...") | |
122 if nbsColumns[0] != 2: | |
123 sys.exit("Error! Bar plot input file should have exactly two columns! Aborting...") | |
124 plotter.addLine(lines[0]) | |
125 elif options.shape == "points": | |
126 if len(lines) != 2: | |
127 sys.exit("Error! Points cloud should have exactly two input file! Aborting...") | |
128 if nbsColumns[0] != 2 or nbsColumns[1] != 2: | |
129 sys.exit("Error! Points cloud plot input file should have exactly two columns! Aborting...") | |
130 plotter.addLine(mergedData(lines[0], lines[1])) | |
131 elif options.shape == "heatPoints": | |
132 if len(lines) != 3: | |
133 sys.exit("Error! Heat points cloud should have exactly three input file! Aborting...") | |
134 plotter.addLine(mergeData(lines[0], lines[1])) | |
135 plotter.addHeatLine(lines[2]) | |
136 elif options.shape == "line": | |
137 for i in range(0, len(lines)): | |
138 if (nbsColumns[i] != 2): | |
139 sys.exit("Error! Curve plot input file should have exactly two columns! Aborting...") | |
140 plotter.addLine(lines[i]) | |
141 else: | |
142 sys.exit("Do not understand shape '%s'" % (options.shape)) | |
143 | |
144 | |
145 plotter.plot() | |
146 |