iv = results.get_itervars("(" + filter_expression + ") AND NOT name =~ " +
x_runattr,
include_itervars=True,
include_runattrs=True)
except ValueError as e:
plot.set_warning("Error while querying results: " + str(e))
exit(1)
iv['module'] = ""
df = pd.concat([sc]) # , iv ?
if df.empty:
plot.set_warning("The result filter returned no data.")
exit(1)
utils.assert_columns_exist(df, ["value"])
df['value'] = pd.to_numeric(df['value'])
if x_runattr and iso_runattr:
utils.assert_columns_exist(df, [x_runattr, iso_runattr])
df = pd.pivot_table(df,
index=[x_runattr],
columns=[iso_runattr],
values="value")
df.reset_index(inplace=True)
x_column = x_runattr
elif iso_runattr and x_module and x_name:
utils.assert_columns_exist(df, [iso_runattr, x_module, x_name])
cols = ["experiment", "measurement"] if avg_repls else [
"runID", "experiment", "measurement", "replication"
]
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,
"An iteration variable for the iso lines could not be found")
for iv in iso_itervars:
if iv:
df[iv] = pd.to_numeric(df[iv], errors="ignore")
if df.empty:
if df.empty:
raise chart.ChartScriptError("The result filter returned no data.")
if not xaxis_itervar and not yaxis_itervar:
print(
"The X Axis and Y Axis options were not set in the dialog, inferring them from the data.."
)
xaxis_itervar, yaxis_itervar = utils.pick_two_columns(df)
if not xaxis_itervar or not yaxis_itervar:
raise chart.ChartScriptError(
"Please set both the X Axis and Y Axis options in the dialog - or neither, for automatic selection!"
)
utils.assert_columns_exist(
df, [xaxis_itervar],
"The iteration variable for the X axis could not be found")
utils.assert_columns_exist(
df, [yaxis_itervar],
"The iteration variable for the Y axis could not be found")
if xaxis_itervar == yaxis_itervar:
raise chart.ChartScriptError(
"The itervar for the X and Y axes are the same: " + xaxis_itervar)
df[xaxis_itervar] = pd.to_numeric(df[xaxis_itervar], errors="ignore")
df[yaxis_itervar] = pd.to_numeric(df[yaxis_itervar], errors="ignore")
title_col, legend_cols = utils.extract_label_columns(df)
title = str(list(df[title_col])[0]) if title_col else None
"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")
for c in groups + series:
df[c] = pd.to_numeric(df[c], errors="ignore")
# names for title, confidence level
names = ", ".join(utils.get_names_for_title(df, props))
confidence_level_str = props[
"confidence_level"] if "confidence_level" in props else "none"
# pivoting and plotting
df.sort_values(by=groups + series, axis='index', inplace=True)
if confidence_level_str == "none":
df = pd.pivot_table(df, index=groups, columns=series, values='value')
utils.plot_bars(df, props, names)
else:
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 = ("module", "name") if len(df) == 1 else 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]
utils.assert_columns_exist(df, groups + series)
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')
utils.plot_bars(df, props, names)
utils.postconfigure_plot(props)
utils.export_image_if_needed(props)
if df.empty:
plot.set_warning("The result filter returned no data.")
exit(1)
if not xaxis_itervar and not iso_itervar:
print(
"The X Axis and Iso Line options were not set in the dialog, inferring them from the data.."
)
xaxis_itervar, iso_itervar = utils.pick_two_columns(df)
if not iso_itervar or not iso_itervar:
plot.set_warning(
"Please set the X Axis and Iso Lines options in the dialog!")
exit(1)
utils.assert_columns_exist(df, [xaxis_itervar, iso_itervar])
df[xaxis_itervar] = pd.to_numeric(df[xaxis_itervar], errors="ignore")
df[iso_itervar] = pd.to_numeric(df[iso_itervar], errors="ignore")
if df.empty:
plot.set_warning("Select scalars for the Y axis in the Properties dialog")
exit(1)
unique_names = df["name"].unique()
if len(unique_names) != 1:
plot.set_warning("Selected scalars must share the same name.")
exit(1)
scalar_name = unique_names[0]
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)
if group_by:
utils.assert_columns_exist(
df, group_by, "An iteration variable for grouping could not be found")
for iv in group_by:
if iv: