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',
