row = [tst_data[u"name"], ]
for col in cols:
row_data = tst_data.get(col["title"], None)
- if normalize and row_data:
+ if normalize and row_data and row_data.get("mean", None) and \
+ row_data.get("stdev", None):
groups = re.search(REGEX_TOPO_ARCH, col["title"])
topo_arch = groups.group(0) if groups else ""
norm_factor = table["norm_factor"].get(topo_arch, 1.0)