def loaddict(filename):
filename = expandvars(filename)
extension = os.path.splitext(filename)[-1]
if extension == '.yaml':
return yaml.load(open(filename,'r'))
elif extension == '.hdf5':
import h5py
return h5py.File(filename,'r')
elif extension == '.fits':
return fitsrec(filename)
elif extension == '.xml':
from pyxml2obj import XMLin
input=XMLin(open(filename).read())
# pass through tolist for automatic type conversion
return tolist(input)
else:
raise Exception("Unrecognized extension %s" % extension)
import pylab as P
import yaml
from mpl_toolkits.axes_grid.axes_grid import Grid
from matplotlib.font_manager import FontProperties
import numpy as np
from uw.like.roi_plotting import DegreesFormatter
from lande.utilities.plotting import label_axes
bw=pubplot.get_bw()
from uw.utilities.makerec import fitsrec
r = fitsrec('/nfs/slac/g/ki/ki03/lande/pwncatalog/PWNCAT2/analyze_psr/monte_carlo/extul/v13/cached.fits')
for type in ['dim','bright']:
fig = P.figure(None,(6,6))
grid = Grid(fig, 111,
nrows_ncols = (4, 1),
share_all=False,
axes_pad=0.2)
extension_mc = r['extension_mc']
extension_ul = r['extension_ul']
index_mc = r['index_mc']
ts_point = r['ts_point']
