axis=1)
sims.append(tmp)
return pandas.concat(sims, keys=range(len(sims))), len(sims)
# read the data files
def read_data(files):
data = []
for infile in files:
with open(infile, 'r') as file:
tmp = pandas.read_csv(file,
delimiter=' ',
header=0,
engine='python')
tmp = tmp.set_index('time',
drop=False).rename_axis(None,
axis=0).drop('time',
axis=1)
data.append(tmp)
return pandas.concat(data, keys=range(len(data))), len(data)
if __name__ == '__main__':
args = argsparser(**{'simulator': 'KaSim v3.5'})
data, len_data = read_data(args.data) # read data files
sims, len_sims = read_sims(args.sims) # read sims files
# calculate fitness
doerror(args, data, len_data, sims, len_sims)
# read the data files
def read_data(files):
data = []
for infile in files:
with open(infile, 'r') as file:
tmp = pandas.read_csv(file,
delimiter=',',
header=0,
engine='python')
tmp = tmp.set_index('[T]',
drop=False).rename_axis(None,
axis=0).drop('[T]',
axis=1)
data.append(tmp)
return pandas.concat(data, keys=range(len(data))), len(data)
if __name__ == '__main__':
args = argsparser(**{'simulator': 'KaSim v4'})
if args.lower is not None:
args.lower, _ = read_data(args.lower) # read lower limit if set
if args.upper is not None:
args.upper, _ = read_data(args.upper) # read upper limit if set
data, len_data = read_data(args.data) # read data files
sims, len_sims = read_sims(args.sims) # read sims files
doerror(args, data, len_data, sims, len_sims) # calculate fitness