#!/usr/bin/env python
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.dev/sumo
# Copyright (C) 2007-2026 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    plotXMLAttributes.py
# @author  Jakob Erdmann
# @author  Mirko Barthauer
# @date    2021-11-05

"""
This script plots arbitrary xml attributes from xml files.

Options -x, -y, -i select attributes for the x and y axis and an id
for grouping of data points into lines  (-i @NONE creates one group)
The following special attributes are also supported
  @INDEX: the index of the other value within the input file is used.
  @RANK: the index of the other value within the sorted (descending) list of values is used
  @COUNT: the number of occurrences of the other value is used.
          Together with option --barplot or -hbarplot this gives a histogram.
          Binning size can be set via options --xbin and --ybin.
  @DENSITY: the number of occurrences of the other value is used, normalized by the total number of values.
  @BOX: one or more box plots of the other value are drawn.
        The --idattr is used for grouping and there will be one box plot per id
  @FILE: the (shortened) input file name is used (useful when plotting one value per file)

Individual trajectories can be clicked in interactive mode to print the data Id on the console.

"""
from __future__ import absolute_import
from __future__ import print_function
import os
import re
import sys
from collections import defaultdict
import fnmatch
import matplotlib.pyplot as plt

try:
    import xml.etree.cElementTree as ET
except ImportError as e:
    print("recovering from ImportError '%s'" % e)
    import xml.etree.ElementTree as ET

sys.path.append(os.path.join(os.path.dirname(sys.argv[0]), '..'))
from sumolib import openz  # noqa
from sumolib.miscutils import uMin, uMax, parseTime, short_names  # noqa
from sumolib.options import ArgumentParser, RawDescriptionHelpFormatter  # noqa
import sumolib.visualization.helpers  # noqa

INDEX_ATTR = "@INDEX"
RANK_ATTR = "@RANK"
COUNT_ATTR = "@COUNT"
DENS_ATTR = "@DENSITY"
BOX_ATTR = "@BOX"
FILE_ATTR = "@FILE"
NONE_ATTR = "@NONE"
NONE_ATTR_DEFAULT = 0
ID_ATTR_DEFAULT = ""  # use filename instead

POST_PROCESSING_ATTRS = [RANK_ATTR, COUNT_ATTR, BOX_ATTR, DENS_ATTR, FILE_ATTR]
SYMBOLIC_ATTRS = POST_PROCESSING_ATTRS + [INDEX_ATTR]
NON_DATA_ATTRS = SYMBOLIC_ATTRS + [NONE_ATTR]


def getOptions(args=None):
    optParser = ArgumentParser(
        description=__doc__.split('\n')[1],
        epilog=__doc__,
        formatter_class=RawDescriptionHelpFormatter, conflict_handler='resolve')

    optParser.add_option("files", nargs='+', category="input", type=optParser.file_list,
                         help="List of XML files to plot")
    optParser.add_option("-x", "--xattr", help="attribute for x-axis")
    optParser.add_option("-y", "--yattr", help="attribute for y-axis")
    optParser.add_option("-i", "--idattr", default="id", help="attribute for grouping data points into lines")
    optParser.add_option("--xelem", help="element for x-axis")
    optParser.add_option("--yelem", help="element for y-axis")
    optParser.add_option("--idelem", help="element for grouping data points into lines")
    optParser.add_option("--show", action="store_true", category="output",
                         default=False, help="show plot directly")
    optParser.add_option("--csv-output", dest="csv_output", category="output",
                         help="write plot as csv")
    optParser.add_option("--filter-ids", dest="filterIDs", help="only plot data points from the given list of ids")
    optParser.add_option("-p", "--pick-distance", dest="pickDist", type=float, default=1,
                         help="pick lines within the given distance in interactive plot mode")
    optParser.add_option("--label", help="plot label (default input file name")
    optParser.add_option("-j", "--join-files", action="store_true", dest="joinFiles", default=False,
                         help="Do not distinguis data points by file")
    optParser.add_option("--join-x", action="store_true", dest="joinx", default=False,
                         help="if --xattr is a list concatenate the values")
    optParser.add_option("--join-y", action="store_true", dest="joiny", default=False,
                         help="if --yattr is a list concatenate the values")
    optParser.add_option("--split-x", action="store_true", dest="splitx", default=False,
                         help="interpret the x value as a list of values")
    optParser.add_option("--split-y", action="store_true", dest="splity", default=False,
                         help="interpret the y value as a list of values")
    optParser.add_option("--xfactor", help="multiplier for x-data", type=float, default=1)
    optParser.add_option("--yfactor", help="multiplier for y-data", type=float, default=1)
    optParser.add_option("--xbin", help="binning size for x-data", type=float)
    optParser.add_option("--ybin", help="binning size for y-data", type=float)
    optParser.add_option("--xclamp", default=None,
                         help="clamp x values to range A:B or half-range A: / :B")
    optParser.add_option("--yclamp", default=None,
                         help="clamp y values to range A:B or half-range A: / :B")
    optParser.add_option("--invert-yaxis", dest="invertYAxis", action="store_true",
                         default=False, help="Invert the Y-Axis")
    optParser.add_option("--xstr", action="store_true",
                         default=False, help="Interpret x-data as string")
    optParser.add_option("--ystr", action="store_true",
                         default=False, help="Interpret y-data as string")
    optParser.add_option("--scatterplot", action="store_true", category="visualization",
                         default=False, help="Draw a scatterplot instead of lines")
    optParser.add_option("--barplot", action="store_true", category="visualization",
                         default=False, help="Draw a bar plot parallel to the y-axis")
    optParser.add_option("--hbarplot", action="store_true", category="visualization",
                         default=False, help="Draw a bar plot parallel to the x-axis")
    optParser.add_option("--legend", action="store_true", default=False, category="visualization", help="Add legend")
    optParser.add_option("--robust-parser", action="store_true", dest="robustParser", default=False,
                         category="visualization",
                         help="Use a standard XML-parser instead of a faster regex-based parser")
    optParser.add_option("-v", "--verbose", action="store_true", default=False, help="tell me what you are doing")
    sumolib.visualization.helpers.addPlotOptions(optParser)
    sumolib.visualization.helpers.addInteractionOptions(optParser)

    options = optParser.parse_args(args=args)

    options.attrOptions = ['idattr', 'xattr', 'yattr']
    options.attrElems = [options.idelem, options.xelem, options.yelem]

    if options.filterIDs is not None:
        options.filterIDs = set(options.filterIDs.split(','))

    for a in options.attrOptions:
        if getattr(options, a) is None:
            sys.exit("mandatory argument --%s is missing" % a)

    if options.xlabel is None:
        if options.xattr == BOX_ATTR:
            if options.idattr:
                options.xlabel = options.idattr
            else:
                options.xlabel = "file"
        else:
            options.xlabel = options.xattr
        if options.xclamp is not None:
            options.xlabel += " clamp(%s)" % options.xclamp

    if options.ylabel is None:
        if options.yattr == BOX_ATTR:
            if options.idattr:
                options.ylabel = options.idattr
            else:
                options.ylabel = "file"
        else:
            options.ylabel = options.yattr
        if options.yclamp is not None:
            options.ylabel += " clamp(%s)" % options.yclamp

    # keep old presets from before integration of common options
    options.nolegend = not options.legend
    if options.show:
        sys.stderr.write("Option --show is now set by default and will be removed in the future." +
                         "Use --blind to disable the plot window\n")

    if options.xattr == BOX_ATTR and options.yattr == BOX_ATTR:
        sys.exit("Boxplot can only be specified for one dimension")
    options.boxplot = options.xattr == BOX_ATTR or options.yattr == BOX_ATTR

    if options.barplot and options.hbarplot:
        sys.exit("Barplot can only be specified for one axis")

    options.barbin = 0
    if options.barplot:
        if options.xbin is None:
            options.xbin = 1.0
            if options.verbose:
                print("Binning set to %s for barplot. Use option --xbin to set a custom value." % options.xbin)
        options.barbin = options.xbin

    if options.hbarplot:
        if options.ybin is None:
            options.ybin = 1.0
            if options.verbose:
                print(("Binning set to %s for horizontal barplot." +
                       " Use option --ybin to set a custom value.") % options.xbin)
        options.barbin = options.ybin

    options.xclampRange = interpretClamp(options.xclamp)
    options.yclampRange = interpretClamp(options.yclamp)

    return options


def interpretClamp(clamp):
    if clamp is None:
        return None
    clamp = clamp.split(":")
    if len(clamp) != 2:
        sys.exit("Clamp option requires a single ':' value")
    cmin = float(clamp[0]) if clamp[0] else uMin
    cmax = float(clamp[1]) if clamp[1] else uMax
    return cmin, cmax


def write_csv(data, fname):
    with open(fname, 'w') as f:
        for dataID in sorted(data.keys(), key=str):
            vals = data[dataID]
            f.write('# "%s"\n' % dataID)
            for x in zip(*vals):
                f.write(" ".join(map(str, x)) + "\n")
            #  2 blank lines indicate a new data block in gnuplot
            f.write('\n\n')


def onpick(event):
    mevent = event.mouseevent
    print("dataID=%s x=%d y=%d" % (event.artist.get_label(), mevent.xdata, mevent.ydata))


def makeSplitter(splitx, otherIsIndex, ds_fun):
    def splitter(file):
        for dataID, x, y in ds_fun(file):
            if splitx:
                for i, x2 in enumerate(x.split()):
                    if otherIsIndex:
                        yield dataID, x2, i
                    else:
                        yield dataID, x2, y
            else:
                for i, y2 in enumerate(y.split()):
                    if otherIsIndex:
                        yield dataID, i, y2
                    else:
                        yield dataID, x, y2
    return splitter


def getDataStream(options):
    # determine elements and nesting for the given attributes
    # by reading from the first file

    attrOptions = options.attrOptions
    attr2elem = {}
    elem2level = {}

    # handle attribute lists
    allAttrs = set()
    attr2parts = {}
    for a in attrOptions:
        attr = getattr(options, a)
        parts = attr.split(',')
        allAttrs.update(parts)
        attr2parts[attr] = parts

    splitX = len(attr2parts[options.xattr]) > 1 and not options.joinx
    splitY = len(attr2parts[options.yattr]) > 1 and not options.joiny

    level = 0
    foundAll = False
    dataAttrs = [a for a in allAttrs if a not in NON_DATA_ATTRS]
    for fname in options.files:
        with openz(fname) as xmlf:
            for event, elem in ET.iterparse(xmlf, ("start", "end")):
                if event == "start":
                    level += 1
                    for a, e in zip(attrOptions, options.attrElems):
                        attrOrig = getattr(options, a)
                        for attr in attr2parts[attrOrig]:
                            if attr in elem.keys():
                                if e is not None and e != elem.tag:
                                    # print("skipping attribute '%s' in element '%s' (required elem '%s'" %
                                    #       (attr, elem.tag, e))
                                    continue
                                elem2level[elem.tag] = level
                                if attr in attr2elem:
                                    oldTag = attr2elem[attr]
                                    if oldTag != elem.tag:
                                        if elem2level[oldTag] < level:
                                            attr2elem[attr] = elem.tag
                                        print("Warning: found %s '%s' in element '%s' (level %s) and "
                                              "element '%s' (level %s). Using '%s'." %
                                              (a, attr, oldTag, elem2level[oldTag], elem.tag, level, attr2elem[attr]),
                                              file=sys.stderr)
                                else:
                                    attr2elem[attr] = elem.tag
                    if len(attr2elem) == len(dataAttrs):
                        # all attributes have been seen
                        foundAll = True
                        break
                elif event == "end":
                    level -= 1
        if foundAll:
            break

    if not elem2level:
        print("Error: No elements found in input files.", file=sys.stderr)
        sys.exit()

    if len(attr2elem) != len(allAttrs):
        for a in attrOptions:
            attrOrig = getattr(options, a)
            for attr in attr2parts[attrOrig]:
                if attr not in attr2elem:
                    lvlElem = [(lv, el) for el, lv in elem2level.items()]
                    minLevelElem = sorted(lvlElem)[-1][1]
                    if attr in SYMBOLIC_ATTRS:
                        attr2elem[attr] = minLevelElem
                    else:
                        msg = "%s '%s' not found in %s" % (a, attr, options.files[0])
                        if a == 'idattr':
                            if attr != NONE_ATTR:
                                print(msg, file=sys.stderr)
                                options.idattr = NONE_ATTR
                            attr2elem[attr] = minLevelElem
                            allAttrs.remove(attr)
                            allAttrs.add(NONE_ATTR)
                            attr2parts[NONE_ATTR] = [NONE_ATTR]
                        else:
                            sys.exit("Mandatory " + msg)

    allElems = sorted(list(set(attr2elem.values())))
    attrs = [getattr(options, a) for a in attrOptions]

    # we don't know the order of the elements and we cannot get it from our xml parser
    skippedLines = defaultdict(int)
    if len(allElems) == 2:
        def datastream(xmlfile):
            missingParents = 0
            elems = sorted(allElems, key=lambda e: elem2level[e])
            mE0 = "<%s " % elems[0]
            mE1 = "<%s " % elems[1]
            attrs0 = [a for a in allAttrs if attr2elem[a] == elems[0]]
            attrs1 = [a for a in allAttrs if attr2elem[a] == elems[1]]
            mAs0 = [(a, re.compile('%s="([^"]*)"' % a)) for a in attrs0]
            mAs1 = [(a, re.compile('%s="([^"]*)"' % a)) for a in attrs1]

            values = {}  # attr -> value
            index = 0
            foundParent = False
            with openz(xmlfile) as xmlf:
                if options.robustParser:
                    for event, elem in ET.iterparse(xmlf, ("start",)):
                        if elem.tag == elems[0]:
                            foundParent = not retrieveValues(index, elem, attrs0, values, skippedLines)
                        elif elem.tag == elems[1]:
                            if not foundParent:
                                print("Warning: Skipped element '%s' without parent element '%s'" % (
                                      elems[1], elems[0]), file=sys.stderr)
                                missingParents += 1
                                continue
                            skip = retrieveValues(index, elem, attrs1, values, skippedLines)
                            if not skip:
                                for toYield in combineValues(attrs, attr2parts, values, splitX, splitY):
                                    yield toYield
                                    index += 1

                else:
                    for line in xmlf:
                        if mE0 in line:
                            foundParent = not parseValues(index, line, mAs0, values, skippedLines)
                        if mE1 in line:
                            if not foundParent:
                                print("Warning: Skipped element '%s' without parent element '%s'" % (
                                      elems[1], elems[0]), file=sys.stderr)
                                missingParents += 1
                                continue
                            skip = parseValues(index, line, mAs1, values, skippedLines)
                            if not skip:
                                for toYield in combineValues(attrs, attr2parts, values, splitX, splitY):
                                    yield toYield
                                    index += 1

            for attr, count in skippedLines.items():
                print("Warning: Skipped %s lines because of missing attributes '%s'." % (
                    count, attr), file=sys.stderr)
            if missingParents:
                print("Use options --xelem, --yelem, --idelem to resolve ambiguous elements")

        if options.splitx:
            datastream = makeSplitter(True, options.yattr == INDEX_ATTR, datastream)
        if options.splity:
            datastream = makeSplitter(False, options.xattr == INDEX_ATTR, datastream)

        return datastream

    elif len(allElems) == 1:
        def datastream(xmlfile):
            mE = "<%s " % allElems[0]
            mAs = [re.compile('%s="([^"]*)"' % a) for a in allAttrs]
            index = 0
            with openz(xmlfile) as xmlf:
                if options.robustParser:
                    for event, elem in ET.iterparse(xmlf, ("start",)):
                        if elem.tag == allElems[0]:
                            values = {}  # attr -> value
                            skip = retrieveValues(index, elem, allAttrs, values, skippedLines)
                            if not skip:
                                for toYield in combineValues(attrs, attr2parts, values, splitX, splitY):
                                    yield toYield
                                    index += 1

                else:
                    for line in xmlf:
                        if mE in line:
                            values = {}  # attr -> value
                            skip = parseValues(index, line, zip(allAttrs, mAs), values, skippedLines)
                            if not skip:
                                for toYield in combineValues(attrs, attr2parts, values, splitX, splitY):
                                    yield toYield
                                    index += 1

            for attr, count in skippedLines.items():
                print("Warning: Skipped %s lines because of missing attributes '%s'." % (
                    count, attr), file=sys.stderr)

        return datastream

    else:
        sys.exit("Found attributes at elements %s but at most 2 elements are supported" % allElems)


def parseValues(index, line, attributePatterns, values, skippedLines):
    skip = False
    for a, r in attributePatterns:
        m = r.search(line)
        if m:
            values[a] = m.groups()[0]
        elif a == INDEX_ATTR:
            values[a] = index
        elif a in POST_PROCESSING_ATTRS:
            # set in post-processing
            values[a] = 0
        elif a == NONE_ATTR:
            values[a] = NONE_ATTR_DEFAULT
        else:
            skip = True
            skippedLines[a] += 1
    return skip


def retrieveValues(index, elem, attrs, values, skippedLines):
    skip = False
    for a in attrs:
        v = elem.get(a)
        if v is not None:
            values[a] = v
        elif a == INDEX_ATTR:
            values[a] = index
        elif a in POST_PROCESSING_ATTRS:
            # set in post-processing
            values[a] = 0
        elif a == NONE_ATTR:
            values[a] = NONE_ATTR_DEFAULT
        else:
            skip = True
            skippedLines[a] += 1
    return skip


def combineValues(attrs, attr2parts, values, splitX, splitY):
    needSplit = splitX or splitY
    toYield = []
    for a, split in zip(attrs, [False, splitX, splitY]):
        if len(attr2parts[a]) == 1:
            if needSplit:
                toYield.append([values[a]])
            else:
                toYield.append(values[a])
        else:
            v = [values[ap] for ap in attr2parts[a]]
            if needSplit and split:
                toYield.append(v)
            elif needSplit:
                toYield.append(['|'.join(v)])
            else:
                toYield.append('|'.join(v))

    if needSplit:
        assert len(toYield) == 3
        splitIndex = 0
        for i in toYield[0]:
            for ix, x in enumerate(toYield[1]):
                for iy, y in enumerate(toYield[2]):
                    if attrs[0] == NONE_ATTR:
                        # build label from x or y parts
                        i = ""
                        if len(attr2parts[attrs[1]]) > 1:
                            i += attr2parts[attrs[1]][ix]
                        if len(attr2parts[attrs[2]]) > 1:
                            if i != "":
                                i += "|"
                            i += attr2parts[attrs[2]][iy]
                    yield [i, x, y]
                    splitIndex += 1
    else:
        yield toYield


def interpretValue(value):
    try:
        return parseTime(value)
    except ValueError:
        # use as category
        return value


def isnumeric(value):
    return isinstance(value, int) or isinstance(value, float)


def keepNumeric(d, xyIndex):
    res_x = []
    res_y = []
    for i in range(len(d[xyIndex])):
        if isnumeric(d[xyIndex][i]):
            res_x.append(d[0][i])
            res_y.append(d[1][i])
    d[0][:] = res_x
    d[1][:] = res_y


def useWildcards(labels):
    for label in labels:
        if "*" in label or "?" in label or ("[" in label and "]" in label):
            return True
    return False


def binned(value, binsize):
    if binsize is not None:
        return int(value / binsize) * binsize
    else:
        return value


def clamped(value, clamp):
    if clamp is not None:
        return max(clamp[0], min(clamp[1], value))
    else:
        return value


def countPoints(xvalues, normalize=False):
    counts = defaultdict(lambda: 0)
    for x in xvalues:
        counts[x] += 1
    xres = sorted(counts.keys())
    yres = [counts[x] for x in xres]
    if normalize:
        total = float(sum(yres))
        if total > 0:
            yres = [c / total for c in yres]
    return xres, yres


def makeNumeric(val):
    if isnumeric(val):
        return val
    try:
        return int(val)
    except ValueError:
        try:
            return float(val)
        except ValueError:
            return val


def applyTicks(d, xyIndex, ticksFile):
    mapping = dict()
    offsets, labels = sumolib.visualization.helpers.parseTicks(ticksFile, mapping)
    l2o = dict(zip(labels, offsets))
    if mapping:
        l2oMapped = {}
        for k, v in mapping.items():
            l2oMapped[k] = l2o[v]
        labels = mapping.keys()
        l2o = l2oMapped
    if useWildcards(labels):
        def getOffset(val):
            for label in labels:
                if fnmatch.fnmatch(val, label):
                    return l2o[label]
            return None

    else:
        def getOffset(val):
            return l2o.get(val)

    res_x = []
    res_y = []
    for i in range(len(d[xyIndex])):
        val = d[xyIndex][i]
        o = getOffset(val)
        if o is not None:
            point = [d[0][i], d[1][i]]
            point[xyIndex] = o
            res_x.append(point[0])
            res_y.append(point[1])

    d[0][:] = res_x
    d[1][:] = res_y


def main(options):

    dataStream = getDataStream(options)

    fig = plt.figure(figsize=(14, 9), dpi=100)
    fig.canvas.mpl_connect('pick_event', onpick)

    shortFileNames = short_names(options.files, False)
    titleFileNames = short_names(options.files, True)
    plt.xlabel(options.xlabel)
    plt.ylabel(options.ylabel)
    plt.title(','.join(titleFileNames) if options.label is None else options.label)
    xdata = 0
    ydata = 1

    data = defaultdict(lambda: list(([] for i in range(2))))

    numericXCount = 0
    stringXCount = 0
    numericYCount = 0
    stringYCount = 0

    usableIDs = 0
    idFromSplitAttrs = ',' in options.xattr or ',' in options.yattr

    interpretx = (lambda x: x) if options.xstr else interpretValue
    interprety = (lambda x: x) if options.ystr else interpretValue

    for fileIndex, datafile in enumerate(options.files):
        totalIDs = 0
        filteredIDs = 0
        for dataID, x, y in dataStream(datafile):
            totalIDs += 1
            if options.filterIDs:
                # Try for regular strings.
                flag1 = dataID not in options.filterIDs
                # Try for wildcards.
                flag2 = False
                for filterID in options.filterIDs:
                    if '*' in filterID:
                        if not fnmatch.fnmatch(dataID, filterID):
                            continue
                        flag2 = True
                if flag1 and not flag2:
                    continue
            if options.idattr == NONE_ATTR and not idFromSplitAttrs:
                dataID = titleFileNames[0 if options.joinFiles else fileIndex]
            elif len(options.files) > 1 and not options.joinFiles:
                suffix = shortFileNames[fileIndex]
                if len(suffix) > 0:
                    dataID = str(dataID) + "#" + suffix
            x = interpretx(x)
            y = interprety(y)
            if options.xattr == FILE_ATTR:
                x = titleFileNames[fileIndex]
            if options.yattr == FILE_ATTR:
                y = titleFileNames[fileIndex]
            if isnumeric(x):
                numericXCount += 1
                x *= options.xfactor
                x = clamped(x, options.xclampRange)
                x = binned(x, options.xbin)
            else:
                stringXCount += 1
            if isnumeric(y):
                numericYCount += 1
                y *= options.yfactor
                y = clamped(y, options.yclampRange)
                y = binned(y, options.ybin)
            else:
                stringYCount += 1

            data[dataID][xdata].append(x)
            data[dataID][ydata].append(y)
            filteredIDs += 1
        if totalIDs == 0 or filteredIDs == 0 or options.verbose:
            print("Found %s datapoints in %s and kept %s" % (totalIDs, datafile, filteredIDs))
        usableIDs += filteredIDs

    if usableIDs == 0:
        if len(options.files) > 1:
            print("Found no usable datapoints%s in %s files" % len(options.files))
        sys.exit()

    minY = uMax
    maxY = uMin
    minX = uMax
    maxX = uMin

    barOffset = 0
    barWidth = options.barbin / (len(data.items()) + 1)
    hadData = False

    for dataID, d in data.items():

        if numericXCount > 0 and stringXCount > 0:
            keepNumeric(d, xdata)
        if numericYCount > 0 and stringYCount > 0:
            keepNumeric(d, ydata)

        if options.xattr == RANK_ATTR:
            d[ydata].sort(reverse=True)
            d[xdata] = list(range(len(d[xdata])))

        if options.yattr == RANK_ATTR:
            d[xdata].sort(reverse=True)
            d[ydata] = list(range(len(d[ydata])))

        if options.xattr == COUNT_ATTR:
            d[ydata], d[xdata] = countPoints(d[ydata])

        if options.yattr == COUNT_ATTR:
            d[xdata], d[ydata] = countPoints(d[xdata])

        if options.xattr == DENS_ATTR:
            d[ydata], d[xdata] = countPoints(d[ydata], True)

        if options.yattr == DENS_ATTR:
            d[xdata], d[ydata] = countPoints(d[xdata], True)

        if options.xticksFile:
            applyTicks(d, xdata, options.xticksFile)
        if options.yticksFile:
            applyTicks(d, ydata, options.yticksFile)

        xvalues = d[xdata]
        yvalues = d[ydata]

        if len(xvalues) == 0:
            assert len(yvalues) == 0
            continue
        else:
            hadData = True

        minY = min(minY, min(yvalues))
        maxY = max(maxY, max(yvalues))
        minX = min(minX, min(xvalues))
        maxX = max(maxX, max(xvalues))

        if not options.boxplot:

            if options.barplot or options.hbarplot:
                if options.barplot:
                    if numericXCount > 0:
                        center = [x + barOffset * barWidth for x in xvalues]
                    else:
                        center = [x + barOffset * barWidth for x in range(len(xvalues))]
                        plt.xticks(range(len(xvalues)), xvalues)
                    plt.bar(center, yvalues, width=barWidth, label=dataID)
                else:
                    if numericYCount > 0:
                        center = [y + barOffset * barWidth for y in yvalues]
                    else:
                        center = [y + barOffset * barWidth for y in range(len(yvalues))]
                        plt.yticks(range(len(yvalues)), yvalues)
                    plt.barh(center, xvalues, height=barWidth, label=dataID)
                barOffset += 1

            else:
                linestyle = options.linestyle
                marker = options.marker
                if options.scatterplot or (min(yvalues) == max(yvalues) and min(xvalues) == max(xvalues)):
                    linestyle = ''
                    if marker is None:
                        marker = 'o'
                plt.plot(xvalues, yvalues, linestyle=linestyle, marker=marker, picker=True, label=dataID)

    if options.boxplot:
        labels = sorted(data.keys(), key=makeNumeric)
        vertical = options.xattr == BOX_ATTR
        xyIndex = ydata if vertical else xdata
        boxdata = [data[dataID][xyIndex] for dataID in labels]
        if vertical:
            plt.xticks(range(len(labels)), labels)
        else:
            plt.yticks(range(len(labels)), labels)
        plt.boxplot(boxdata, vert=options.xattr == BOX_ATTR)

    if options.invertYAxis and hadData:
        plt.axis([minX, maxX, maxY, minY])

    if options.csv_output is not None:
        write_csv(data, options.csv_output)

    ax = fig.axes[0]
    sumolib.visualization.helpers.closeFigure(fig, ax, options)


if __name__ == "__main__":
    main(getOptions())
