def _merge(ks, outpath):
k = Kyub.merge(*ks)
def _mkTC(hu):
p = hu.split('=')
h = p[0]
u = p[1] if len(p) > 1 else None
return Column(h, iterable=k.get_treatment_column(hu), units=u)
def _mkDC(h):
return Column(h, iterable=k.get_column(h))
tc = [_mkTC(f) for f in k.factors]
dc = [_mkDC(f) for f in k.readouts]
datapflex.write_datapflex(outpath, tc, dc)
k = Kyub.merge(*ks)
def _mkTC(hu):
p = hu.split('=')
h = p[0]
u = p[1] if len(p) > 1 else None
return Column(h, iterable=k.get_treatment_column(hu), units=u)
def _mkDC(h):
return Column(h, iterable=k.get_column(h))
# def _mkDC(h):
# m = k.get_column(h)
# s = k.get_column(h + '=stdev')
# return MSColumn(h, iterable=zip(m, s))
tc = [_mkTC(f) for f in k.factors]
dc = [_mkDC(f) for f in k.readouts]
#dc = [_mkDC(f) for f in k.readouts if not f.endswith('=stdev')]
datapflex.write_datapflex(outpath, tc, dc)
# for p in sorted(glob('scans/linkfarm/*')):
# assay = op.basename(p)
# for z in ('GF', 'CK'):
# f0, f1 = fs = [op.join(d, '%s_%s.csv' % (assay, z)) for d in dpdirs]
# if not op.exists(f1):
# continue
# diffs, dkyub = diff(f0, f1)
# out = []
