else: seed = fpat.search(doc) if seed: leg = str(seed.group('nom')) else: leg = '' f = open(doc, 'r') line = f.readlines()[1] f.close() msd = np.array(re.split(r'\s+', line)[1:-1], dtype=float) x = np.arange(0, len(msd)) * dt if (args.mp or args.eps != 'noeps' or args.xg): if (args.mp or args.eps != 'noeps'): graf.plot(x, msd, color=colo[tiq], label=leg) if args.xg: df = xg.Data(x=x, y=msd, symbol=s1, line=l1) if (args.mp or args.eps != 'noeps'): graf.set_xlabel(args.xlabel) graf.set_ylabel(args.ylabel) if args.yaxis: graf.set_ylim(args.yaxis) if args.xaxis: graf.set_xlim(args.xaxis) if (args.scale == 'logx' or args.scale == 'logxy'): graf.set_xscale('log') if (args.scale == 'logy' or args.scale == 'logxy'): graf.set_yscale('log') fig.suptitle(args.title) graf.grid(True) graf.legend(loc='best',
y - eror, y + eror, alpha=args.shade, facecolor=colo[colcount], edgecolor='k', linewidth=0) if args.xg: df = xg.DataXYDY(x=x, y=y, dy=eror, symbol=s1, line=l1) else: if (args.mp or args.eps != 'noeps'): graf.plot(x, data[:, int(cc)], color=colo[colcount], label=leg[i]) if args.xg: df = xg.Data(x=x, y=data[:, int(cc)], symbol=s1, line=l1) colcount += 1 if (args.mp or args.eps != 'noeps'): graf.set_xlabel(xlab) graf.set_ylabel(args.ylabel) if args.yaxis: graf.set_ylim(args.yaxis) if args.xaxis: graf.set_xlim(args.xaxis) if (args.scale == 'logx' or args.scale == 'logxy'): graf.set_xscale('log') if (args.scale == 'logy' or args.scale == 'logxy'): graf.set_yscale('log') fig.suptitle(args.title) graf.grid(True)
if seed: leg = str(seed.group('nom')) else: leg = '' f = open(doc, 'r') lines = f.readlines() f.close() params = np.array(re.split(r'\s+', lines[0])[1:-1], dtype=float) gdr = np.append(np.zeros(int(params[1])), np.array(re.split(r'\s+', lines[1])[1:-1], dtype=float)) x = np.arange(0, (params[2] + 1) * params[0], params[0]) if (args.mp or args.eps != 'noeps' or args.xg): if (args.mp or args.eps != 'noeps'): graf.plot(x, gdr, color=colo[tiq], label=leg) if args.xg: df = xg.Data(x=x, y=gdr, symbol=s1, line=l1) if (args.mp or args.eps != 'noeps'): graf.set_xlabel(args.xlabel) graf.set_ylabel(args.ylabel) if args.yaxis: graf.set_ylim(args.yaxis) if args.xaxis: graf.set_xlim(args.xaxis) if (args.scale == 'logx' or args.scale == 'logxy'): graf.set_xscale('log') if (args.scale == 'logy' or args.scale == 'logxy'): graf.set_yscale('log') fig.suptitle(args.title) graf.grid(True) graf.legend(loc='best',