include_runattrs=True,
include_attrs=True,
include_itervars=True)
except ValueError as e:
plot.set_warning("Error while querying results: " + str(e))
exit(1)
if df.empty:
plot.set_warning("The result filter returned no data.")
exit(1)
if not xaxis_itervar and not iso_itervars:
print(
"The 'Itervar for X Axis' and 'Itervar for iso line' options were not set in the dialog, inferring them from the data.."
)
xaxis_itervar, iso_itervar = utils.pick_two_columns(df)
iso_itervars = [iso_itervar] if iso_itervar else []
print("X axis: " + xaxis_itervar + " iso lines: " + ",".join(iso_itervars))
if xaxis_itervar:
utils.assert_columns_exist(
df, [xaxis_itervar],
"The iteration variable for the X axis could not be found")
df[xaxis_itervar] = pd.to_numeric(df[xaxis_itervar], errors="ignore")
else:
plot.set_warning("Please select the iteration variable for the X axis!")
exit(1)
if iso_itervars:
utils.assert_columns_exist(
df, iso_itervars,
df = results.get_scalars(filter_expression,
include_fields=include_fields,
include_runattrs=True,
include_attrs=True,
include_itervars=True)
except ValueError as e:
raise chart.ChartScriptError("Error while querying results: " + str(e))
if df.empty:
raise chart.ChartScriptError("The result filter returned no data.")
if not xaxis_itervar and not group_by:
print(
"The 'X Axis' and 'Group By' options were not set in the dialog, inferring them from the data.."
)
xaxis_itervar, group_by = utils.pick_two_columns(df)
group_by = [group_by] if group_by else []
print("X Axis: " + xaxis_itervar + ", Group By: " + ",".join(group_by))
if xaxis_itervar:
utils.assert_columns_exist(
df, [xaxis_itervar],
"The iteration variable for the X axis could not be found")
df[xaxis_itervar] = pd.to_numeric(df[xaxis_itervar], errors="ignore")
else:
raise chart.ChartScriptError(
"Please select the iteration variable for the X axis!")
if xaxis_itervar in group_by:
raise chart.ChartScriptError("X axis column also in grouper columns: " +
xaxis_itervar)
include_runattrs=True)
except ValueError as e:
raise chart.ChartScriptError("Error while querying results: " + str(e))
if df.empty:
raise chart.ChartScriptError("The result filter returned no data.")
# determine "groups" and "series" for pivoting, and check them
groups = utils.split(props["groups"])
series = utils.split(props["series"])
if not groups and not series:
print(
"The Groups and Series options were not set in the dialog, inferring them from the data."
)
g, s = ("module", "name") if len(df) == 1 else utils.pick_two_columns(df)
groups, series = [g], [s]
if not groups or not groups[0] or not series or not series[0]:
raise chart.ChartScriptError(
"Please set both the Groups and Series properties in the dialog - or neither, for automatic setup."
)
common = list(set(groups) & set(series))
if common:
raise chart.ChartScriptError("Overlap between Group and Series columns: " +
", ".join(common))
utils.assert_columns_exist(df, groups + series,
"No such iteration variable or run attribute")
filter_expression = props["filter"]
# query scalar data into dataframe
df = results.get_scalars(filter_expression,
include_attrs=True,
include_itervars=True,
include_runattrs=True)
groups = props["groups"].split(",")
series = props["series"].split(",")
if not groups[0] and not series[0]:
print(
"The Groups and Series options were not set in the dialog, inferring them from the data."
)
g, s = utils.pick_two_columns(df)
if not g or not s:
plot.set_warning(
"Please set the Groups and Series options in the dialog!")
exit(1)
groups, series = [g], [s]
for c in groups + series:
df[c] = pd.to_numeric(df[c], errors="ignore")
df.sort_values(by=groups + series, axis='index', inplace=True)
names = utils.get_names_for_title(df, props)
df = pd.pivot_table(df, index=groups, columns=series, values='value')