def main():
options,args = parser.parse_args(sys.argv[1:])
if len(args) < 3:
parser.print_help()
sys.exit(45)
new_run_name=args[0]
runs2average = args[1:]
print 'new run name:',new_run_name
print 'runs2average:',runs2average
for i,run in enumerate(runs2average):
fname=shapesim.get_averaged_url(run, 0)
print fname
data0=eu.io.read(fname)
if i==0:
data=data0
else:
do_sums(data, data0)
do_avg(data)
fout=shapesim.get_averaged_url(new_run_name, 0)
eu.ostools.makedirs_fromfile(fout)
print 'writing run average:',fout
eu.io.write(fout, data, clobber=True)
def plot_run(plt, run, shear_true, symbol, color, linestyle, options,
with_points=True, with_curve=True, method='BA13', with_lensfit=False):
c = shapesim.read_config(run)
label = c.get('label',c['run'])
url=shapesim.get_averaged_url(run, 0)
print url
data=eu.io.read(url)
s_name,scov_name=get_names(method)
if s_name=='g_sum':
shear=data['g_sum'][:,0]/data['nsum']
else:
shear=data[s_name][:,0]
err=sqrt(data[scov_name][:,0,0])
s2n_vals = data[options.s2n_field]
if options.xrange is None:
xrng=[0.75*s2n_vals[0], 1.25*s2n_vals[-1]]
else:
xrng=options.xrange.split(',')
xrng=[float(xr) for xr in xrng]
pts = biggles.Points(s2n_vals,
shear/shear_true-1,
type=symbol,
size=2,
color=color)
ep = biggles.SymmetricErrorBarsY(s2n_vals,
shear/shear_true-1,
err/shear_true,
width=2,
color=color)
crv = biggles.Curve(s2n_vals,
shear/shear_true-1,
type=linestyle,
width=2,
color=color)
crv.label=label
pts.label=label
if with_points:
plt.add(pts,ep)
if with_curve and not with_lensfit:
plt.add(crv)
if with_lensfit and method != 'lensfit':
crv_lensfit = biggles.Curve(s2n_vals,
data['shear_lensfit'][:,0]/shear_true-1,
type=linestyle,
width=2,
color=color)
plt.add(crv_lensfit)
return xrng, crv, pts
