sheet.cell(column=colstart+coli,row=rowstart-1).value.split("-")[0])
data = np.asarray(data)
return data,labels
if __name__ == '__main__':
argparser = argparse.ArgumentParser(description="Script to make bar plots")
argparser.add_argument('-xls','--xls',help="the filename of the XLSX file")
argparser.add_argument('-sheets','--sheets',nargs="+",help="the sheet in the XLSX file")
argparser.add_argument('-labels','--labels',nargs="+",help="the labels")
argparser.add_argument('-out','--out',help="the output prefix")
argparser.add_argument('-yunit','--yunit',help="the unit of the y axis",default="")
args = argparser.parse_args()
wb = sheetslib.open_book(args.xls)
if len(args.sheets) == 2 :
ncol = 1
nrow = 2
else:
ncol = 2
nrow = int(np.ceil(len(args.sheets)/2.0))
props = dict(facecolor='white',edgecolor='white', alpha=0.8)
letters = ["A)","B)","C)","D)"]
widths = [0,3.25,7]
figs = [plt.figure(i,figsize=(widths[ncol],5))
for i in range(1,4)]
ylabels = ["AUD","MUD","MSD"]
description="Program to perform error analysis of order parameters")
argparser.add_argument('-xls',
'--xls',
help="the filename of the XLSX file")
argparser.add_argument('-sheet',
'--sheet',
help="the sheet in the XLSX file")
argparser.add_argument('-sysoffs',
'--sysoffs',
nargs="+",
type=int,
help="the system column offset")
argparser.add_argument('--hasexp', action="store_true", default=False)
args = argparser.parse_args()
wb = sheetslib.open_book(args.xls)
allparams = []
for sysoff in args.sysoffs:
res, labels, data, errors = sheetslib.extract_sheet(
wb, args.sheet, sysoff)
avparams = _average_group(data, res, args.hasexp)
allparams.extend(avparams)
resnames = sorted(list(set([p.resname for p in allparams])))
for resname in resnames:
scoreddata = croc.ScoredData()
bootdata = np.zeros((len(allparams), 2))
for i, param in enumerate(allparams):
if param.resname == resname:
scoreddata.add(param.value, 1)