Mercurial > repos > yufei-luo > s_mart
view SMART/Java/Python/plot.py @ 70:6b009f1530a8 draft
Deleted tmp file.
author | m-zytnicki |
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date | Wed, 18 Nov 2015 10:59:50 -0500 |
parents | 169d364ddd91 |
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#! /usr/bin/env python # # Copyright INRA-URGI 2009-2010 # # This software is governed by the CeCILL license under French law and # abiding by the rules of distribution of free software. You can use, # modify and/ or redistribute the software under the terms of the CeCILL # license as circulated by CEA, CNRS and INRIA at the following URL # "http://www.cecill.info". # # As a counterpart to the access to the source code and rights to copy, # modify and redistribute granted by the license, users are provided only # with a limited warranty and the software's author, the holder of the # economic rights, and the successive licensors have only limited # liability. # # In this respect, the user's attention is drawn to the risks associated # with loading, using, modifying and/or developing or reproducing the # software by the user in light of its specific status of free software, # that may mean that it is complicated to manipulate, and that also # therefore means that it is reserved for developers and experienced # professionals having in-depth computer knowledge. Users are therefore # encouraged to load and test the software's suitability as regards their # requirements in conditions enabling the security of their systems and/or # data to be ensured and, more generally, to use and operate it in the # same conditions as regards security. # # The fact that you are presently reading this means that you have had # knowledge of the CeCILL license and that you accept its terms. # """ Plot the data from the data files """ import os, re, math from optparse import OptionParser from SMART.Java.Python.structure.TranscriptContainer import TranscriptContainer from SMART.Java.Python.misc.RPlotter import RPlotter from SMART.Java.Python.misc.Progress import Progress from commons.core.utils.FileUtils import FileUtils class Plot(object): def __init__(self, verbosity): self.verbosity = verbosity self.keep = False def keepTmpFiles(self, boolean): self.keep = boolean def setShape(self, shape): self.shape = shape def setInputFileName(self, fileName, format): self.parser = TranscriptContainer(fileName, format, self.verbosity) def setXData(self, tag, default): self.x = tag self.xDefault = default def setYData(self, tag, default): self.y = tag self.yDefault = default def setZData(self, tag, default): self.z = tag self.zDefault = default def setNbBars(self, nbBars): self.nbBars = nbBars def setOutputFileName(self, fileName): self.outputFileName = fileName def setRegression(self, regression): self.regression = regression def setLog(self, log): self.log = log def createPlotter(self): self.plotter = RPlotter(self.outputFileName, self.verbosity, self.keep) if self.shape == "barplot": self.plotter.setBarplot(True) elif self.shape == "line": pass elif self.shape == "points": self.plotter.setPoints(True) elif self.shape == "heatPoints": self.plotter.setHeatPoints(True) else: raise Exception("Do not understand shape '%s'\n" % (self.shape)) self.plotter.setLog(self.log) self.plotter.setRegression(self.regression) def getValues(self, transcript): x = transcript.getTagValue(self.x) y = None z = None if self.y != None: y = transcript.getTagValue(self.y) if self.z != None: z = transcript.getTagValue(self.z) if x == None: if self.xDefault != None: x = self.xDefault else: raise Exception("Error! Transcript %s do not have the x-tag %s\n" % (transcript, self.x)) if self.y != None: if y == None: if self.yDefault != None: y = self.yDefault else: raise Exception("Error! Transcript %s do not have the y-tag %s\n" % (transcript, self.y)) if self.z != None: if z == None: if self.zDefault != None: z = self.zDefault else: raise Exception("Error! Transcript %s do not have the z-tag %s\n" % (transcript, self.z)) x = float(x) if self.y != None: y = float(y) if self.z != None: z = float(z) return (x, y, z) def correctPointsToBarplot(self, line): minValue = int(math.floor(min(line.keys()))) maxValue = int(math.ceil(max(line.keys()))) step = (maxValue - minValue) / self.nbBars values = dict([i * step + minValue, 0] for i in range(0, self.nbBars)) top = (self.nbBars - 1) * step + minValue for key, value in line.iteritems(): newKey = min(top, int(math.floor((key - minValue) / float(maxValue - minValue) * self.nbBars)) * step + minValue) values[newKey] += value return values def parseFile(self): line = {} heatLine = {} cpt = 1 for transcript in self.parser.getIterator(): x, y, z = self.getValues(transcript) name = transcript.name if name == "unnamed transcript": name = "transcript %d" % (cpt) cpt += 1 if self.shape in ("points", "heatPoints"): line[name] = (x, y) if self.shape == "heatPoints": heatLine[name] = z if self.shape == "line": line[x] = y if self.shape == "barplot": line[x] = line.get(x, 0) + 1 if self.shape == "barplot": line = self.correctPointsToBarplot(line) self.plotter.setXLabel(self.x) if self.y != None: self.plotter.setYLabel(self.y) else: self.plotter.setYLabel("Count") self.plotter.addLine(line) if self.shape == "heatPoints": self.plotter.addHeatLine(heatLine) self.plotter.plot() def close(self): if self.regression: print self.plotter.getCorrelationData() if self.shape == "points": rho = self.plotter.getSpearmanRho() if rho == None: print "Cannot compute Spearman rho." else: print "Spearman rho: %f" % (rho) def run(self): self.createPlotter() self.parseFile() self.close() if __name__ == "__main__": # parse command line description = "Plot v1.0.2: Plot some information from a list of transcripts. [Category: Visualization]" parser = OptionParser(description = description) parser.add_option("-i", "--input", dest="inputFileName", action="store", type="string", help="input file [compulsory] [format: file in transcript format given by -f]") parser.add_option("-f", "--format", dest="format", action="store", type="string", help="format of the input [compulsory] [format: transcript file format]") parser.add_option("-x", "--x", dest="x", action="store", type="string", help="tag for the x value [format: string]") parser.add_option("-y", "--y", dest="y", action="store", type="string", help="tag for the y value [format: string]") parser.add_option("-z", "--z", dest="z", action="store", default=None, type="string", help="tag for the z value [format: string]") parser.add_option("-X", "--xDefault", dest="xDefault", action="store", default=None, type="float", help="value for x when tag is not present [format: float]") parser.add_option("-Y", "--yDefault", dest="yDefault", action="store", default=None, type="float", help="value for y when tag is not present [format: float]") parser.add_option("-Z", "--zDefault", dest="zDefault", action="store", default=None, type="float", help="value for z when tag is not present [format: float]") parser.add_option("-o", "--output", dest="outputFileName", action="store", type="string", help="output file names [format: output file in PNG format]") parser.add_option("-s", "--shape", dest="shape", action="store", default="barplot", type="string", help="shape of the plot [format: choice (barplot, line, points, heatPoints)]") parser.add_option("-n", "--nbBars", dest="nbBars", action="store", default=2, type="int", help="number of bars in barplot [format: int]") parser.add_option("-k", "--keep", dest="keep", action="store_true", default=False, help="keep temporary files [format: bool]") parser.add_option("-r", "--regression", dest="regression", action="store_true", default=False, help="plot regression line (in 'points' format) [format: bool]") parser.add_option("-l", "--log", dest="log", action="store", default="y", type="string", help="use log on x- or y-axis (write 'x', 'y' or 'xy') [format: string]") parser.add_option("-v", "--verbosity", dest="verbosity", action="store", default=1, type="int", help="trace level [format: int]") (options, args) = parser.parse_args() plot = Plot(options.verbosity) plot.setInputFileName(options.inputFileName, options.format) plot.setOutputFileName(options.outputFileName) plot.setXData(options.x, options.xDefault) plot.setYData(options.y, options.yDefault) plot.setZData(options.z, options.zDefault) plot.setShape(options.shape) plot.setNbBars(options.nbBars) plot.setRegression(options.regression) plot.setLog(options.log) plot.keepTmpFiles(options.keep) plot.run()