def test_runattrs_with_all():
df = results.get_runattrs(r,
include_itervars=True,
include_runattrs=True,
include_param_assignments=True,
include_config_entries=True)
_assert_sequential_index(df)
_assert(sanitize_and_compare_csv(df, "runattrs_with_all.csv"),
"content mismatch")
_assert(
df.apply(lambda r: r[r["name"]] == r["value"], axis=1).all(),
"wrong join")
def get_data(filter):
sc = results.get_scalars(filter, include_attrs=True)
iv = results.get_itervars(filter)
ra = results.get_runattrs(filter)
df = pd.concat([sc, iv, ra])
# print(df)
df["value"] = pd.to_numeric(df["value"], errors="ignore")
df = pd.pivot_table(df, columns="name", index="runID", dropna=False, aggfunc=aggfunc)
# print(df)
return df
def get_data(filter):
try:
sc = results.get_scalars(filter, include_attrs=True)
iv = results.get_itervars(filter)
ra = results.get_runattrs(filter)
except ValueError as e:
raise chart.ChartScriptError("Error while querying results: " + str(e))
df = pd.concat([sc, iv, ra])
df["value"] = pd.to_numeric(df["value"], errors="ignore")
df = pd.pivot_table(df, columns="name", index="runID", dropna=False, aggfunc=aggfunc)
return df
def test_runattrs():
df = results.get_runattrs(r)
_assert_sequential_index(df)
_assert(sanitize_and_compare_csv(df, "runattrs.csv"), "content mismatch")