def expect_message(expected):
actual = "; ".join(messages)
if expected not in actual:
raise RuntimeError(
"Wrong error message received: EXPECTED '{}', GOT '{}'".format(
expected, actual))
# make empty file so that opp_charttool doesn't complain
fname = utils.get_image_export_filepath(chart.get_properties())
with open(fname, 'wt') as f:
pass
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)
from omnetpp.scave import results, chart
import matplotlib.pyplot as plt
import pandas as pd
params = chart.get_properties()
stats = results.get_statistics(params["filter"],
include_attrs=True,
include_itervars=True)
hists = results.get_histograms(params["filter"],
include_attrs=True,
include_itervars=True)
df = pd.concat([stats, hists])
print(df)
# TODO: move this to chart ? (or an utils module)
# source: https://stackoverflow.com/a/39789718/635587
def customized_box_plot(percentiles, axes, redraw=True, *args, **kwargs):
"""
Generates a customized boxplot based on the given percentile values
"""
n_box = len(percentiles)
box_plot = axes.boxplot([
[-9, -4, 2, 4, 9],
] * n_box,
showmeans=True,
meanprops=dict(marker='+'),
*args,
**kwargs)
def create_blank_image_file():
# make empty file so that opp_charttool doesn't complain
fname = utils.get_image_export_filepath(chart.get_properties())
with open(fname, 'wt') as f:
pass