con = mdb.connect(server, user, password, table); with con: cur = con.cursor() plot_xlabel = "benchmarks solved" plot_ylabel = "cummulative time" gnuplot_command = cStringIO.StringIO() data_file = open(data_file_name, 'w') util.setupPlot(gnuplot_command, plot_xlabel, plot_ylabel, "") util.setupCanvasPlot(gnuplot_command, "gnuplot_canvas") util.setupCactusPlot(gnuplot_command) util.startPlot(gnuplot_command) for i in range(len(job_ids)) : job_id = job_ids[i] result_i = util.getSortedResults(cur, job_id) util.dumpCactusToFile(data_file, util.getJobName(cur, job_id), result_i) for i in range(len(job_ids)) : util.plotOneCactus(gnuplot_command, data_file_name, i, 1, 2) if ( i < len(job_ids) - 1) : util.plotSeparator(gnuplot_command) data_file.close() val = gnuplot_command.getvalue() print val
base_name = path + generateCactusBaseName(job_ids) gnuplot_file_name = base_name + ".gnuplot" gnuplot_file = open(gnuplot_file_name, 'w') data_file_name = base_name + ".dat" data_file = open(data_file_name, 'w') pdf_file_name = base_name + ".pdf" util.setupPlot(gnuplot_file, plot_xlabel, plot_ylabel, "") util.setupPdfPlot(gnuplot_file, pdf_file_name) util.setupCactusPlot(gnuplot_file) util.startPlot(gnuplot_file) for i in range(len(job_ids)) : job_id = job_ids[i] result_i = util.getSortedResults(cur, job_id) util.dumpCactusToFile(data_file, util.getJobName(cur, job_id), result_i) for i in range(len(job_ids)) : util.plotOneCactus(gnuplot_file, data_file_name, i, 1, 2) if ( i < len(job_ids) - 1) : util.plotSeparator(gnuplot_file) data_file.close() gnuplot_file.close() con.close()