def average_cloud_centers( shots ):
print shots
c0 = []; c1 = [];
for s in shots:
report = ConfigObj( 'report%04d.INI'%s )
c0.append( qrange.evalstr( report, 'CPP:ax0c_crop' ) )
c1.append( qrange.evalstr( report, 'CPP:ax1c_crop' ) )
return np.mean( np.array(c0)), np.mean( np.array(c1))
args = parser.parse_args()
print args
rangestr = args.range.replace(':','to')
rangestr = rangestr.replace(',','_')
shots = qrange.parse_range(args.range)
if 'SEQ:shot' not in args.YKEYS:
args.YKEYS.append('SEQ:shot')
datadict = {}
for s in shots:
report = ConfigObj( 'report'+s+'.INI')
xkey = qrange.evalstr( report, args.XKEY )
if xkey not in datadict.keys():
datadict[xkey] = {}
bgkey = qrange.evalstr( report, args.BGKEY )
if bgkey not in datadict[xkey].keys():
datadict[xkey][bgkey] = {}
for Y in args.YKEYS:
if Y not in datadict[xkey][bgkey].keys():
datadict[xkey][bgkey][Y] = []
val = qrange.evalstr(report, Y)
datadict[xkey][bgkey][Y].append( val )
if val is np.nan:
print "Encountered nan in Shot #", s
import pprint
vals = {}
sumnet6 = {}
shots = qrange.parse_range(args.range)
shlist = glob.glob( os.getcwd() + '/????_bragg.dat')
shlist.sort()
# Collect data for all shots, sums and Ns
for sh in shlist:
s = os.path.split(sh)[1].split('_bragg')[0]
if s in shots:
report = ConfigObj( 'report'+s+'.INI')
#val = report[sec][key]
val = qrange.evalstr(report, args.KEY)
dat = rebin(np.loadtxt( s + '_bragg.dat'), \
args.binsz, rollX, rollY)
if val in keydict.keys():
index = keydict[val]
sums[index] = sums[index] + dat
sqs[index] = sqs[index] + dat*dat
ns[index] = ns[index] + 1
sumnet6[index].append( float(report['BRAGG']['sum_net_6']))
else:
keydict[val] = i
keys = ["DIMPLE:ir1",\
"DIMPLE:ir2",\
"DIMPLE:ir3",\
"DIMPLE:gr1",\
"DIMPLE:gr2",\
"DIMPLE:gr3",\
"CPP:ax0c",\
"CPP:ax1c",\
"CPP:ax0w",\
"CPP:ax1w"]
for s in shots:
report = ConfigObj( 'report'+s+'.INI')
temp =[]
for k in keys:
temp.append(qrange.evalstr( report, k ))
beams = tuple(temp[0:6])
center = tuple(temp[6:8])
waist = tuple(temp[8:10])
print beams
if (beams in shotsdata.keys()):
shotsdata[beams] = [center,waist]
else:
sys.exit("Unexpect IR GR pair condition.")
grdata = {'GR1V':[shotsdata[(1,0,1,0,0,0)],shotsdata[(1,0,1,1,0,0)]],\
'GR1H':[shotsdata[(1,1,0,0,0,0)],shotsdata[(1,1,0,1,0,0)]],\
'GR2V':[shotsdata[(0,1,1,0,0,0)],shotsdata[(0,1,1,0,1,0)]],\
'GR2H':[shotsdata[(1,1,0,0,0,0)],shotsdata[(1,1,0,0,1,0)]],\
'GR3V':[shotsdata[(0,1,1,0,0,0)],shotsdata[(0,1,1,0,0,1)]],\
'GR3H':[shotsdata[(1,0,1,0,0,0)],shotsdata[(1,0,1,0,0,1)]]}
verbose = not args.concise
CONCISEOUT = ""
rangestr = args.range.replace(":", "to")
rangestr = rangestr.replace(",", "_")
shots = qrange.parse_range(args.range)
if "SEQ:shot" not in args.YKEYS:
args.YKEYS.append("SEQ:shot")
datadict = {}
timekey = "SEQ:abstime"
for s in shots:
report = ConfigObj("report" + s + ".INI")
xkey = qrange.evalstr(report, args.XKEY)
if xkey not in datadict.keys():
datadict[xkey] = {}
bgkey = qrange.evalstr(report, args.BGKEY)
if bgkey not in datadict[xkey].keys():
datadict[xkey][bgkey] = {}
for Y in args.YKEYS:
if Y not in datadict[xkey][bgkey].keys():
datadict[xkey][bgkey][Y] = []
val = qrange.evalstr(report, Y)
datadict[xkey][bgkey][Y].append(val)
if val is np.nan:
if verbose:
print "Encountered nan in Shot #", s
if args.keys != None:
rawdat='%s\n' % ('\t'.join(args.keys))
rawdat='#Date\t\t' + rawdat
print rawdat,
for rootdir, dirs, files in sortedWalk( args.DIR ):
for basename in files:
if 'report' in basename:
reportpath = os.path.join(rootdir, basename)
try:
report = ConfigObj(reportpath)
except:
print "Could not load report %s" % reportpath
continue
keys = args.keys
if qrange.evalstr( reportpath, args.TEST):
if keys == None:
print "%s\t%s\t is True" % (reportpath, args.TEST )
else:
err=False
line=''
line_=''
errmsg=''
try:
abstime = float( report['SEQ']['abstime'])
date = absstart + datetime.timedelta( seconds = abstime)
line_ = date.strftime('%a %d-%b-%Y %H:%M\t\t')
except KeyError:
err= True
errstr = '#...Failed to get SEQ:abstime from #%s\n' % (reportpath)
args = parser.parse_args()
#print args.range
#print args.XKEY
#print args.YKEYS
rangestr = args.range.replace(':','to')
rangestr = rangestr.replace(',','_')
shots = qrange.parse_range(args.range)
data = []
for s in shots:
report = ConfigObj( 'report'+s+'.INI')
line = [ qrange.evalstr( report, args.XKEY ) ]
for Y in args.YKEYS:
line.append( qrange.evalstr( report, Y) )
data.append(line)
dat = np.array(data)
#print dat
out = statdat.statdat( dat, 0, 1)[:,0]
header = '#\n# Column index\n# 0 %s\n' % args.XKEY
for i,Y in enumerate(args.YKEYS):
header = header + '# %d %s\n' % ( 3*i+1, Y )
header = header + '# %d %s\n' % ( 3*i+2, 'standard deviation' )
header = header + '# %d %s\n' % ( 3*i+3, 'standard error of the mean' )
header = header + '# %d %s\n' % ( 3*i+4, 'pk-pk' )