# query scalar data into dataframe
try:
df = results.get_scalars(filter_expression,
include_fields=include_fields,
include_attrs=True,
include_itervars=True,
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))
import math
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from omnetpp.scave import results, chart, utils, plot, vectorops as ops
# get chart properties
props = chart.get_properties()
utils.preconfigure_plot(props)
# collect parameters for query
filter_expression = props["filter"]
xaxis_itervar = props["xaxis_itervar"]
iso_itervars = utils.split(props["iso_itervar"])
# query data into a data frame
try:
df = results.get_scalars(filter_expression,
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(
import math
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from omnetpp.scave import results, chart, utils, ideplot
# get chart properties
props = chart.get_properties()
utils.preconfigure_plot(props)
# collect parameters for query
filter_expression = props["filter"]
include_fields = props["include_fields"] == "true"
xaxis_itervar = props["xaxis_itervar"]
group_by = utils.split(props["group_by"])
# query data into a data frame
try:
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(