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#!/usr/bin/env python
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2014-2020 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.eclipse.org/legal/epl-2.0/
# This Source Code may also be made available under the following Secondary
# Licenses when the conditions for such availability set forth in the Eclipse
# Public License 2.0 are satisfied: GNU General Public License, version 2
# or later which is available at
# https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
# SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-or-later
# @file plot_csv_pie.py
# @author Daniel Krajzewicz
# @author Laura Bieker
# @date 2014-01-15
"""
This script plots name / value pairs from a given .csv file (';'-separated).
The values are plotted as a pie diagram.
matplotlib (http://matplotlib.org/) has to be installed for this purpose
"""
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
import sumolib # noqa
from sumolib.visualization import helpers # noqa
import matplotlib.pyplot as plt # noqa
def main(args=None):
"""The main function; parses options and plots"""
# ---------- build and read options ----------
from optparse import OptionParser
optParser = OptionParser()
optParser.add_option("-i", "--input", dest="input", metavar="FILE",
help="Defines the csv file to use as input")
optParser.add_option("-p", "--percentage", dest="percentage", action="store_true",
default=False, help="Interprets read measures as percentages")
optParser.add_option("-r", "--revert", dest="revert", action="store_true",
default=False, help="Reverts the order of read values")
optParser.add_option("--no-labels", dest="nolabels", action="store_true",
default=False, help="Does not plot the labels")
optParser.add_option("--shadow", dest="shadow", action="store_true",
default=False, help="Puts a shadow below the circle")
optParser.add_option("--startangle", dest="startangle",
type="float", default=0, help="Sets the start angle")
optParser.add_option("-v", "--verbose", dest="verbose", action="store_true",
default=False, help="If set, the script says what it's doing")
# standard plot options
helpers.addInteractionOptions(optParser)
helpers.addPlotOptions(optParser)
# parse
options, remaining_args = optParser.parse_args(args=args)
if options.input is None:
print("Error: at least one csv file must be given")
sys.exit(1)
fd = open(options.input)
labels = []
vals = []
total = 0
for line in fd:
v = line.strip().split(";")
if len(v) < 2:
continue
labels.append(v[0].replace("\\n", "\n"))
vals.append(float(v[1]))
total += float(v[1])
if options.revert:
labels.reverse()
vals.reverse()
colors = []
for i, e in enumerate(labels):
colors.append(helpers.getColor(options, i, len(labels)))
fig, ax = helpers.openFigure(options)
if options.nolabels:
labels = None
shadow = options.shadow
if options.percentage:
def autopct(p):
return '{:.1f}%'.format(p)
# autopct = lambda p: '{:.1f}%'.format(p)
else:
def autopct(p):
return '{:.0f}'.format(p * total / 100)
# autopct = lambda p: '{:.0f}'.format(p * total / 100)
patches, texts, autotexts = plt.pie(
vals, labels=labels, autopct=autopct, colors=colors, shadow=shadow, startangle=options.startangle)
helpers.closeFigure(fig, ax, options)
if __name__ == "__main__":
sys.exit(main(sys.argv))
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