def chart_function_bars():
df = results.get_scalars("name =~ rxBytes:sum OR name =~ txBytes:sum",
include_runattrs=True)
names = utils.get_names_for_title(df, dict())
df = pd.pivot_table(df, index="name", columns="module", values='value')
utils.preconfigure_plot(dict())
utils.plot_bars(df, dict(), names)
utils.postconfigure_plot(dict())
from omnetpp.scave import results, chart, utils, plot
# get chart properties
props = chart.get_properties()
utils.preconfigure_plot(props)
# collect parameters for query
filter_expression = props["filter"]
# query vector data into a data frame
try:
df = results.get_histograms(filter_expression,
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)
# plot
utils.plot_histograms(df, props)
utils.postconfigure_plot(props)
utils.export_image_if_needed(props)
utils.export_data_if_needed(df, props)
