Commits

Lars Yencken  committed d7ca3a7

Add a snapshot of the color stream visualisation.

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Files changed (32)

+.DS_Store
+outputs/*
+inputs/*
+*.pyc
+*.pyo
+*.ipynb
+#
+# Makefile
+#
+
+COLORSET = inputs/colorset
+
+default: \
+	outputs/pairs.normed \
+	outputs/color_weekly_hue.js \
+	outputs/color_weekly_popularity.js \
+	outputs/color_monthly_hue.js \
+	outputs/color_monthly_popularity.js \
+
+outputs/dates.sorted: inputs/dates
+	sort -n --parallel=8 -S 500M $< >$@.tmp
+	mv -f $@.tmp $@
+
+outputs/colors.sorted: inputs/colors
+	sort -n --parallel=8 -S 500M $< >$@.tmp
+	mv -f $@.tmp $@
+
+outputs/colors.dated: outputs/colors.sorted outputs/dates.sorted src/join_dates_colors.py
+	python src/join_dates_colors.py outputs/colors.sorted outputs/dates.sorted outputs/
+
+outputs/colors.dated.sorted: outputs/colors.dated
+	sort -n --parallel=8 -S 500M $< >$@.tmp
+	mv -f $@.tmp $@
+
+outputs/colors.dated.normed: outputs/colors.dated.sorted src/normalize_colors.py $(COLORSET)
+	pv -a --progress --eta $< | python src/normalize_colors.py $(COLORSET) >$@.tmp
+	mv -f $@.tmp $@
+
+outputs/pairs.normed: outputs/colors.dated.normed src/pairwise_numbers.py
+	pv -a --progress --eta $< | python src/pairwise_numbers.py >$@.tmp
+	mv -f $@.tmp $@
+
+outputs/colors.monthly: outputs/colors.dated.normed src/groupbymonth_mapper.py src/groupbymonth_reducer.py
+	pv -a --progress --eta $< | python src/groupbymonth_mapper.py | sort --parallel=8 -S 2G | python src/groupbymonth_reducer.py >$@.tmp
+	mv -f $@.tmp $@
+
+outputs/colors.weekly: outputs/colors.dated.normed src/groupbyweek_mapper.py src/groupbymonth_reducer.py
+	pv -a --progress --eta $< | python src/groupbyweek_mapper.py | sort --parallel=8 -S 2G | python src/groupbymonth_reducer.py >$@.tmp
+	mv -f $@.tmp $@
+
+outputs/color_weekly_hue.js: outputs/colors.weekly src/stream_viz.py
+	pv outputs/colors.weekly | python src/stream_viz.py -o hue >$@.tmp
+	mv -f $@.tmp $@
+
+outputs/color_weekly_popularity.js: outputs/colors.weekly src/stream_viz.py
+	pv outputs/colors.weekly | python src/stream_viz.py -o popularity >$@.tmp
+	mv -f $@.tmp $@
+
+outputs/color_monthly_hue.js: outputs/colors.monthly src/stream_viz.py
+	pv outputs/colors.monthly | python src/stream_viz.py -o hue >$@.tmp
+	mv -f $@.tmp $@
+
+outputs/color_monthly_popularity.js: outputs/colors.monthly src/stream_viz.py
+	pv outputs/colors.monthly | python src/stream_viz.py -o popularity >$@.tmp
+	mv -f $@.tmp $@
+

File inputs/.dummy

Empty file added.

File outputs/.dummy

Empty file added.

File src/.gitignore

+*.pyc
+*.pyo
+.DS_Store
+stream/color_*.js

File src/colors.py

+# -*- coding: utf-8 -*-
+#
+#  colors.py
+#  analysis
+#
+#  Created by Lars Yencken on 2012-03-28.
+#  Copyright 2012 Lars Yencken. All rights reserved.
+#
+
+"""
+Objects for working interactively with colors.
+"""
+
+import os
+import colorsys
+import cStringIO as StringIO
+
+import Image as Im
+import requests
+import colorific
+from colormath.color_objects import RGBColor
+import numpy as np
+from scipy.spatial import KDTree
+
+class Color(object):
+    "A simple hexadeicmal color."
+    def __init__(self, hexcolor):
+        self.hexcolor = hexcolor
+
+    def __repr__(self):
+        return '<Color: %s>' % self.hexcolor
+
+    def to_rgb(self):
+        h = self.hexcolor
+        return (int(h[1:3], 16), int(h[3:5], 16), int(h[5:7], 16))
+
+    def is_dark(self):
+        r, g, b = [x / 255.0 for x in self.to_rgb()]
+        v = colorsys.rgb_to_hsv(r, g, b)[2]
+        return v < 0.5
+
+    def _repr_html_(self, background=False):
+        margin = '2px 2px 2px 16px' if background else '2px'
+        if self.is_dark():
+            colorpatch = ' color: white;'
+        else:
+            colorpatch = ''
+
+        return '<div style="width: 80px; height: 80px; border: 1px dashed black; margin: %s; display: inline-block; text-align: center; background: %s;"><div style="position: relative; top: 40%%;%s">%s</div></div>' % (
+                margin,
+                self.hexcolor,
+                colorpatch,
+                self.hexcolor,
+            )
+
+    def __cmp__(self, rhs):
+        return cmp(self.hexcolor, rhs.hexcolor)
+
+    def __eq__(self, rhs):
+        return self.hexcolor == rhs.hexcolor
+
+    def __hash__(self):
+        return hash(self.hexcolor)
+
+class ImageFile(object):
+    def __init__(self, filename):
+        self.filename = filename
+
+    def _repr_html_(self):
+        path = os.path.abspath(self.filename)
+        return '<div><img src="%s"></div>' % path
+
+class Swatch(object):
+    "A series of colors."
+    def __init__(self, colors, bgcolor=None):
+        self.colors = colors
+        self.bgcolor = bgcolor
+
+    def __len__(self):
+        return len(self.colors)
+
+    def __iter__(self):
+        return iter(self.colors)
+
+    def __repr__(self):
+        if self.bgcolor:
+            bgpatch = ' (%s)' % self.bgcolor.hexcolor
+        else:
+            bgpatch = ''
+        return '<Swatch: %s%s>' % (
+                ', '.join(c.hexcolor for c in self.colors),
+                bgpatch,
+            )
+
+    def _repr_html_(self):
+        html = ''.join(c._repr_html_() for c in self.colors)
+        if self.bgcolor:
+            html += self.bgcolor._repr_html_(background=True)
+        return html
+
+    @classmethod
+    def from_file(cls, filename):
+        im = Im.open(filename)
+        palette = colorific.extract_colors(im)
+        return cls.from_raw_palette(palette)
+
+    @classmethod
+    def from_raw_palette(cls, raw_palette):
+        bgcolor = None
+        rth = colorific.rgb_to_hex
+        if raw_palette.bgcolor:
+            bgcolor = Color(rth(raw_palette.bgcolor.value))
+        colors = [Color(rth(c.value)) for c in raw_palette.colors]
+        return cls(colors, bgcolor=bgcolor)
+
+class Design(object):
+    def __init__(self, designid):
+        self.designid = designid
+
+    def _repr_html_(self):
+        return '<div><img src="http://99designs.com/designs/%d-smallcrop"></div>' % self.designid
+
+class DesignPalette(object):
+    def __init__(self, design, swatch):
+        self.design = design
+        self.swatch = swatch
+
+    def _repr_html_(self):
+        return self.design._repr_html_() + self.swatch._repr_html_()
+
+    def refresh(self):
+        largecrop = requests.get('http://99designs.com/designs/%d-largecrop' \
+                % self.design.designid).content
+        im = Im.open(StringIO.StringIO(largecrop))
+        palette = colorific.extract_colors(im)
+        self.swatch = Swatch.from_raw_palette(palette)
+        return self
+
+#class CachingConverter(object):
+    #"Convert hex colors to RGB."
+    #def __init__(self):
+        #self._cache = {}
+
+    #def __getitem__(self, hexcolor):
+        #rgb = self._cache.get(hexcolor)
+        #if rgb is None:
+            #rgb = RGBColor(*colorific.hex_to_rgb(hexcolor))
+            #self._cache[hexcolor] = rgb
+
+        #return rgb
+
+def hex_to_rgb(hexcolor):
+    rgb = RGBColor()
+    rgb.set_from_rgb_hex(hexcolor)
+    return rgb
+
+class ReferencePalette(object):
+    "A nearest neighbour interface to a reference set of colors."
+    def __init__(self, color_to_name):
+        self._names = color_to_name
+        self._nearest = {} # cache of hex -> reference hex
+        self._rgb = {} # cache of hex -> rgb
+        for hexcolor in color_to_name.iterkeys():
+            hexcolor = hexcolor.lower()
+            self._nearest[hexcolor] = hexcolor
+            self._rgb[hexcolor] = hex_to_rgb(hexcolor)
+
+    def __getitem__(self, c):
+        c = c.lower()
+
+        if c in self._nearest:
+            # exact or cached match, woohoo!
+            return self._nearest[c]
+
+        # slow pairwise comparison with color set
+        rgb = hex_to_rgb(c)
+        nearest = min(
+                (rgb.delta_e(rgb2, method='cmc'), c2)
+                for (c2, rgb2) in self._rgb.iteritems()
+            )[1]
+        self._nearest[c] = nearest
+
+        return nearest
+
+    @classmethod
+    def from_file(cls, filename):
+        color_to_name = {}
+        with open(filename) as istream:
+            for line in istream:
+                c, name = line.rstrip('\n').split(' ', 1)
+                color_to_name[c] = name
+        return cls(color_to_name)
+
+def hex_to_lab(hexcolor):
+    rgb = hex_to_rgb(hexcolor)
+    lab = rgb.convert_to('lab')
+    return lab.lab_l, lab.lab_a, lab.lab_b
+
+class KDReferencePalette(object):
+    def __init__(self, ref_hexcolors):
+        # ref_hexcolors = ["#ffab03", ...]
+        self.lab_to_hex = {}
+        ref_labcolors = np.zeros((len(ref_hexcolors), 3), dtype=np.float64)
+        for i, hexcolor in enumerate(ref_hexcolors):
+            lab = hex_to_lab(hexcolor)
+            ref_labcolors[i, :] = lab
+            self.lab_to_hex[lab] = hexcolor
+
+        self.ref_labcolors = ref_labcolors
+        self.kdtree = KDTree(ref_labcolors)
+
+    def __getitem__(self, hexcolor):
+        "Return the single nearest reference color."
+        lab = hex_to_lab(hexcolor)
+        _distances, indexes = self.kdtree.query([lab])
+        i, = indexes
+        ref_lab = self.ref_labcolors[i, :]
+        return self.lab_to_hex[tuple(ref_lab)]
+
+    @staticmethod
+    def from_file(filename):
+        # ignoring the names
+        hexcolors = set()
+        with open(filename) as istream:
+            for line in istream:
+                hexcolor, name = line.rstrip('\n').split(' ', 1)
+                hexcolors.add(hexcolor)
+
+        return KDReferencePalette(sorted(hexcolors))
+

File src/groupbymonth_mapper.py

+import sys
+import csv
+import datetime
+
+rows = csv.reader(sys.stdin, delimiter="\t")
+
+# line => tab sep: ts, designid, [comma sep: colors] 
+for ts, _designid, colors, bgcolor in rows:
+    colors = colors.split(",")
+
+    month = datetime.datetime.utcfromtimestamp(int(ts)).strftime('%Y-%m')
+    for c in colors:
+        print month, c, 1

File src/groupbymonth_reducer.py

+import sys
+from itertools import groupby
+import csv
+
+def extract_key(row):
+    date, color, _count = row
+    return (date, color)
+
+rows = csv.reader(sys.stdin, delimiter=' ')
+
+for (date, color), group in groupby(rows, extract_key):
+    counts = (int(row[2]) for row in group)
+    count = sum(counts)
+    print date, color, count

File src/groupbyweek_mapper.py

+import sys
+import csv
+
+rows = csv.reader(sys.stdin, delimiter="\t")
+
+# line => tab sep: ts, designid, [comma sep: colors]
+for ts, _designid, colors, bgcolor in rows:
+    colors = colors.split(",")
+
+    month = int(ts) / (3600*24*7)
+    for c in colors:
+        print month, c, 1

File src/join_dates_colors.py

+# -*- coding: utf-8 -*-
+#
+#  join_dates_colors.py
+#  pre2012-logo-full
+#
+
+import os
+import sys
+
+def join_dates_colors(colors_file, date_file, dest_dir):
+    ok_out = os.path.join(dest_dir, 'colors.dated')
+    err_out = os.path.join(dest_dir, 'colors.missing_dates')
+
+    timestamps = {}
+    print 'Loading timestamps...'
+    with open(date_file) as istream:
+        pairs = (l.split() for l in istream)
+        for designid, timestamp in pairs:
+            designid = int(designid)
+            timestamp = int(timestamp)
+            timestamps[designid] = timestamp
+
+    print 'Timestamping design swatches...'
+    missing = open(err_out, 'w')
+    with open(colors_file) as istream:
+        tuples = (l.rstrip('\n').split('\t') for l in istream)
+        with open(ok_out, 'w') as ostream:
+            for designid, colors, bgcolor in tuples:
+                try:
+                    print >> ostream, '\t'.join((
+                        str(timestamps[int(designid)]),
+                        designid,
+                        colors,
+                        bgcolor
+                    ))
+                except KeyError:
+                    print >> missing, '\t'.join((
+                            designid,
+                            colors,
+                            bgcolor,
+                        ))
+
+    print 'Done'
+
+if __name__ == '__main__':
+    join_dates_colors(*sys.argv[1:])

File src/normalize_colors.py

+# -*- coding: utf-8 -*-
+#
+#  normalize_colors.py
+#  src
+#
+
+"""
+Convert colors into a reference set (e.g. X11 or Pantone).
+"""
+
+import colors
+import sys
+import multiprocessing
+
+SENTINEL = 'XXX'
+
+class Referencer(multiprocessing.Process):
+    def __init__(self, colorset, q, l, ostream):
+        self.ref = colors.KDReferencePalette.from_file(colorset)
+        self.q = q
+        self.l = l
+        self.ostream = ostream
+        super(Referencer, self).__init__()
+
+    def run(self):
+        ref = self.ref
+        while True:
+            n = self.q.get()
+            if n == SENTINEL:
+                break
+
+            t, designid, cols, bgcolor = n
+            ref_colors = []
+            for c in cols.split(','):
+                r = ref[c]
+                if r not in ref_colors:
+                    ref_colors.append(r)
+
+            ref_bg = ref[bgcolor] if bgcolor else ''
+
+            self.l.acquire()
+            print >> self.ostream, '\t'.join([
+                    t,
+                    designid,
+                    ','.join(ref_colors),
+                    ref_bg,
+                ])
+            self.ostream.flush()
+            #sys.stderr.write('.'); sys.stderr.flush()
+            self.l.release()
+
+def main_mt(colorset):
+    queue = multiprocessing.Queue(100)
+    lock = multiprocessing.Lock()
+    ostream = sys.stdout
+    n = 8
+
+    pool = [Referencer(colorset, queue, lock, ostream) for i in xrange(n)]
+    for p in pool:
+        p.start()
+
+    for line in sys.stdin:
+        t, designid, cols, bgcolor = line.rstrip('\n').split('\t')
+        queue.put((t, designid, cols, bgcolor))
+
+    for i in xrange(n):
+        queue.put(SENTINEL)
+
+    for p in pool:
+        p.join()
+
+def main(colorset):
+    ref = colors.KDReferencePalette.from_file(colorset)
+    for line in sys.stdin:
+        t, designid, cols, bgcolor = line.rstrip('\n').split('\t')
+        ref_colors = []
+        for c in cols.split(','):
+            r = ref[c]
+            if r not in ref_colors:
+                ref_colors.append(r)
+
+        ref_bg = ref[bgcolor] if bgcolor else ''
+
+        print '\t'.join([
+                t,
+                designid,
+                ','.join(ref_colors),
+                ref_bg,
+            ])
+        sys.stderr.write('.'); sys.stderr.flush()
+
+if __name__ == '__main__':
+    main_mt(*sys.argv[1:])
+

File src/pairwise_numbers.py

+import sys
+import csv
+from collections import Counter
+import itertools
+
+dist = Counter()
+
+for t, designid, colors, bgcolor in csv.reader(sys.stdin, delimiter='\t'):
+    colors = colors.split(',')
+    if len(colors) > 1:
+        for a, b in itertools.combinations(colors, 2):
+            if a < b:
+                p = (a, b)
+            else:
+                p = (b, a)
+
+            dist[p] += 1
+
+for (c1, c2), v in dist.most_common(50):
+    print c1, c2, v
+

File src/stream_viz.py

+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+#  stream_viz.py
+#
+
+"""
+Generate JS data files for D3js stream vizualisations.
+"""
+
+import os
+import optparse
+from collections import defaultdict, Counter
+import json
+import colorsys
+import sys
+import csv
+
+from colormath.color_objects import RGBColor
+import colors
+
+X11_COLORSET = os.path.join(os.path.dirname(__file__), '..', 'pantone.colorset')
+
+def color_ok(color):
+    c = RGBColor()
+    c.set_from_rgb_hex(color)
+    h, s, v = colorsys.rgb_to_hsv(c.rgb_r / 255.0, c.rgb_g / 255.0, c.rgb_b
+            / 255.0)
+    return 0.25 < v < 0.90 and 0.1 < s
+
+def hue(hex_color):
+    c = RGBColor()
+    c.set_from_rgb_hex(hex_color)
+    h, s, v = colorsys.rgb_to_hsv(c.rgb_r / 255.0, c.rgb_g / 255.0, c.rgb_b
+            / 255.0)
+    return (h + 0.20) % 1
+
+def hue_then_luminance(hex_color):
+    c = RGBColor()
+    c.set_from_rgb_hex(hex_color)
+    h, s, v = colorsys.rgb_to_hsv(c.rgb_r / 255.0, c.rgb_g / 255.0, c.rgb_b
+            / 255.0)
+    return h*v
+
+def luminance(hex_color):
+    c = RGBColor()
+    c.set_from_rgb_hex(hex_color)
+    return colorsys.rgb_to_hsv(c.rgb_r / 255.0, c.rgb_g / 255.0,
+            c.rgb_b / 255.0)[2]
+
+class GlobalPopularity(Counter):
+    "A callable distribution of colors over the entire period."
+    def __init__(self, color_by_month):
+        for colordist in color_by_month.itervalues():
+            for color, count in colordist.items():
+                self[color] += count
+
+    def __call__(self, c):
+        return self[c]
+
+def generate_datafile(ordering='hue', normalize=False):
+    lines = sys.stdin
+    rows = csv.reader(lines, delimiter=' ')
+
+    # map from month -> (color -> count)
+    color_by_month = defaultdict(lambda: defaultdict(int))
+
+    for month, color, count in rows:
+        count = int(count)
+        if color_ok(color):
+            color_by_month[month][color] = count
+
+    if normalize:
+        for colordist in color_by_month.itervalues():
+            total = float(sum(colordist.itervalues()))
+            for c in colordist.keys():
+                colordist[c] = 100.0 * (colordist[c] / total)
+
+    # build the values for the stream diagram (color_points)
+    color_to_name = colors.ReferencePalette.from_file(X11_COLORSET)._names
+    included_colors = sorted(filter(color_ok, color_to_name))
+    color_points = {}
+    months = sorted(color_by_month)
+    for col in included_colors:
+        points = [{'x': i, 'y': color_by_month[month][col]} for i, month in
+                enumerate(months)]
+        color_points[col] = points
+
+    #def frequency(hex_color):
+        #return sum(color_by_day[hex_color].values())
+
+    if ordering == 'hue':
+        key_method = hue
+        ordered_colors = sorted(included_colors, key=key_method)
+    elif ordering == 'popularity':
+        key_method = GlobalPopularity(color_by_month)
+        ordered_colors = sorted(included_colors, key=key_method, reverse=True)
+        new_ordering = []
+        for i in xrange(len(ordered_colors)):
+            if i % 2 == 0:
+                new_ordering.append(ordered_colors[i])
+            else:
+                new_ordering[0:0] = [ordered_colors[i]]
+        ordered_colors = new_ordering
+    else:
+        raise ValueError('unknown ordering: %s' % ordering)
+
+    # work out the order to stack them
+
+    print 'var n = %d;' % len(ordered_colors)
+    print 'var m = %d;' % len(months)
+    print 'var color_points =', json.dumps(color_points) + ';'
+    print 'var ordered_colors =', json.dumps(ordered_colors) + ';'
+
+#----------------------------------------------------------------------------#
+
+def _create_option_parser():
+    usage = \
+"""%prog [options]
+
+Generates a JS file of data for D3js stream visualisations to stdout,
+given a set of timestamped color counts on stdin."""
+
+    parser = optparse.OptionParser(usage)
+    parser.add_option('-o', '--ordering', action='store', dest='ordering',
+            help='The ordering to use ([hue]/popularity)',
+            default='hue')
+    parser.add_option('-n', '--normalize', action='store_true',
+            dest='normalize', default=False,
+            help='Normalize counts within each time period')
+
+    return parser
+
+def main(argv):
+    parser = _create_option_parser()
+    (options, args) = parser.parse_args(argv)
+
+    if args:
+        parser.print_help()
+        sys.exit(1)
+
+    generate_datafile(ordering=options.ordering, normalize=options.normalize)
+
+#----------------------------------------------------------------------------#
+
+if __name__ == '__main__':
+    main(sys.argv[1:])
+

File template/button.css

+button {
+  font: 14px Helvetica Neue;
+  background-color: #222;
+  background-image: -moz-linear-gradient(top, rgba(255,255,255,.25), rgba(255,255,255,.11));
+  background-image: -webkit-gradient(linear,left top,left bottom,color-stop(0, rgba(255,255,255,.25)),color-stop(1, rgba(255,255,255,.11)));
+  background-image: -webkit-linear-gradient(rgba(255,255,255,.25), rgba(255,255,255,.11));
+  color: #fff;
+  text-rendering: optimizeLegibility;
+  text-shadow: 0 -1px 1px #222;
+  padding: 6px 10px 6px 10px;
+  border: 0;
+  border-radius: 0;
+  border-bottom: 1px solid #222;
+  margin: 0;
+  -moz-box-shadow: 0 1px 3px #999;
+  -webkit-box-shadow: 0 1px 3px #999;
+}
+
+button.first {
+  border-top-left-radius: 5px;
+  border-bottom-left-radius: 5px;
+}
+
+button.last {
+  border-top-right-radius: 5px;
+  border-bottom-right-radius: 5px;
+}
+
+button.active {
+  background-color: rgb(65,102,133);
+}
+
+button:hover {
+  background-color: steelblue;
+}

File template/color_monthly_hue.js

+../outputs/color_monthly_hue.js

File template/color_monthly_popularity.js

+../outputs/color_monthly_popularity.js

File template/color_weekly_hue.js

+../outputs/color_weekly_hue.js

File template/color_weekly_popularity.js

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fn(a.getFullYear(),0,1)},function(a,b){a.setFullYear(a.getFullYear()+b)},function(a){return a.getFullYear()}),d3.time.years=d3.time.year.range,d3.time.years.utc=d3.time.year.utc.range;var gf=[1e3,5e3,15e3,3e4,6e4,3e5,9e5,18e5,36e5,108e5,216e5,432e5,864e5,1728e5,6048e5,2592e6,7776e6,31536e6],gg=[[d3.time.second,1],[d3.time.second,5],[d3.time.second,15],[d3.time.second,30],[d3.time.minute,1],[d3.time.minute,5],[d3.time.minute,15],[d3.time.minute,30],[d3.time.hour,1],[d3.time.hour,3],[d3.time.hour,6],[d3.time.hour,12],[d3.time.day,1],[d3.time.day,2],[d3.time.week,1],[d3.time.month,1],[d3.time.month,3],[d3.time.year,1]],gh=[[d3.time.format("%Y"),function(a){return!0}],[d3.time.format("%B"),function(a){return a.getMonth()}],[d3.time.format("%b %d"),function(a){return a.getDate()!=1}],[d3.time.format("%a %d"),function(a){return a.getDay()&&a.getDate()!=1}],[d3.time.format("%I %p"),function(a){return a.getHours()}],[d3.time.format("%I:%M"),function(a){return a.getMinutes()}],[d3.time.format(":%S"),function(a){return a.getSeconds()}],[d3.time.format(".%L"),function(a){return a.getMilliseconds()}]],gi=d3.scale.linear(),gj=gc(gh);gg.year=function(a,b){return gi.domain(a.map(ge)).ticks(b).map(gd)},d3.time.scale=function(){return f_(d3.scale.linear(),gg,gj)};var gk=gg.map(function(a){return[a[0].utc,a[1]]}),gl=[[d3.time.format.utc("%Y"),function(a){return!0}],[d3.time.format.utc("%B"),function(a){return a.getUTCMonth()}],[d3.time.format.utc("%b %d"),function(a){return a.getUTCDate()!=1}],[d3.time.format.utc("%a %d"),function(a){return a.getUTCDay()&&a.getUTCDate()!=1}],[d3.time.format.utc("%I %p"),function(a){return a.getUTCHours()}],[d3.time.format.utc("%I:%M"),function(a){return a.getUTCMinutes()}],[d3.time.format.utc(":%S"),function(a){return a.getUTCSeconds()}],[d3.time.format.utc(".%L"),function(a){return a.getUTCMilliseconds()}]],gm=gc(gl);gk.year=function(a,b){return gi.domain(a.map(go)).ticks(b).map(gn)},d3.time.scale.utc=function(){return f_(d3.scale.linear(),gk,gm)}})();

File template/index.html

+<html>
+  <body>
+      <a href="stream_weekly_hue.html">Weekly, by hue</a>
+      <a href="stream_weekly_popularity.html">Weekly, by popularity</a>
+      <a href="stream_monthly_hue.html">Monthly, by hue</a>
+      <a href="stream_monthly_popularity.html">Monthly, by popularity</a>
+  </body>
+</html>

File template/stack.css

+#chart {
+  font: 10px sans-serif;
+}
+
+line {
+  stroke: black;
+}

File template/stack.html

+<!DOCTYPE html>
+<html>
+  <head>
+    <title>Stacked Bar Chart</title>
+    <script type="text/javascript" src="../../d3.v2.js"></script>
+    <script type="text/javascript" src="stream_layers.js"></script>
+    <link type="text/css" rel="stylesheet" href="../button.css"/>
+    <link type="text/css" rel="stylesheet" href="stack.css"/>
+  </head>
+  <body>
+    <div id="chart">
+      <button id="group" class="first" onclick="transitionGroup()">
+        Group
+      </button
+      ><button id="stack" class="active last" onclick="transitionStack()">
+        Stack
+      </button><p>
+    </div>
+    <script type="text/javascript" src="stack.js"></script>
+  </body>
+</html>

File template/stack.js

+var n = 4, // number of layers
+    m = 64, // number of samples per layer
+    data = d3.layout.stack()(stream_layers(n, m, .1)),
+    color = d3.interpolateRgb("#aad", "#556");
+
+var p = 20,
+    w = 960,
+    h = 500 - .5 - p,
+    mx = m,
+    my = d3.max(data, function(d) {
+      return d3.max(d, function(d) {
+        return d.y0 + d.y;
+      });
+    }),
+    mz = d3.max(data, function(d) {
+      return d3.max(d, function(d) {
+        return d.y;
+      });
+    }),
+    x = function(d) { return d.x * w / mx; },
+    y0 = function(d) { return h - d.y0 * h / my; },
+    y1 = function(d) { return h - (d.y + d.y0) * h / my; },
+    y2 = function(d) { return d.y * h / mz; }; // or `my` to not rescale
+
+var vis = d3.select("#chart")
+  .append("svg")
+    .attr("width", w)
+    .attr("height", h + p);
+
+var layers = vis.selectAll("g.layer")
+    .data(data)
+  .enter().append("g")
+    .style("fill", function(d, i) { return color(i / (n - 1)); })
+    .attr("class", "layer");
+
+var bars = layers.selectAll("g.bar")
+    .data(function(d) { return d; })
+  .enter().append("g")
+    .attr("class", "bar")
+    .attr("transform", function(d) { return "translate(" + x(d) + ",0)"; });
+
+bars.append("rect")
+    .attr("width", x({x: .9}))
+    .attr("x", 0)
+    .attr("y", h)
+    .attr("height", 0)
+  .transition()
+    .delay(function(d, i) { return i * 10; })
+    .attr("y", y1)
+    .attr("height", function(d) { return y0(d) - y1(d); });
+
+var labels = vis.selectAll("text.label")
+    .data(data[0])
+  .enter().append("text")
+    .attr("class", "label")
+    .attr("x", x)
+    .attr("y", h + 6)
+    .attr("dx", x({x: .45}))
+    .attr("dy", ".71em")
+    .attr("text-anchor", "middle")
+    .text(function(d, i) { return i; });
+
+vis.append("line")
+    .attr("x1", 0)
+    .attr("x2", w - x({x: .1}))
+    .attr("y1", h)
+    .attr("y2", h);
+
+function transitionGroup() {
+  var group = d3.selectAll("#chart");
+
+  group.select("#group")
+      .attr("class", "first active");
+
+  group.select("#stack")
+      .attr("class", "last");
+
+  group.selectAll("g.layer rect")
+    .transition()
+      .duration(500)
+      .delay(function(d, i) { return (i % m) * 10; })
+      .attr("x", function(d, i) { return x({x: .9 * ~~(i / m) / n}); })
+      .attr("width", x({x: .9 / n}))
+      .each("end", transitionEnd);
+
+  function transitionEnd() {
+    d3.select(this)
+      .transition()
+        .duration(500)
+        .attr("y", function(d) { return h - y2(d); })
+        .attr("height", y2);
+  }
+}
+
+function transitionStack() {
+  var stack = d3.select("#chart");
+
+  stack.select("#group")
+      .attr("class", "first");
+
+  stack.select("#stack")
+      .attr("class", "last active");
+
+  stack.selectAll("g.layer rect")
+    .transition()
+      .duration(500)
+      .delay(function(d, i) { return (i % m) * 10; })
+      .attr("y", y1)
+      .attr("height", function(d) { return y0(d) - y1(d); })
+      .each("end", transitionEnd);
+
+  function transitionEnd() {
+    d3.select(this)
+      .transition()
+        .duration(500)
+        .attr("x", 0)
+        .attr("width", x({x: .9}));
+  }
+}

File template/stream.css

+#chart {
+  font: 10px sans-serif;
+}

File template/stream.html

+<!DOCTYPE html>
+<html>
+  <head>
+    <title>Streamgraph</title>
+    <script type="text/javascript" src="color_data.js"></script>
+    <script type="text/javascript" src="underscore-min.js"></script>
+    <script type="text/javascript" src="d3.v2.min.js"></script>
+    <script type="text/javascript" src="stream_layers.js"></script>
+    <link type="text/css" rel="stylesheet" href="button.css"/>
+    <link type="text/css" rel="stylesheet" href="stream.css"/>
+  </head>
+  <body>
+    <div id="chart">
+      <button class="first last" onclick="transition()">
+        Update
+      </button><p>
+    </div>
+    <script type="text/javascript" src="stream.js"></script>
+  </body>
+</html>

File template/stream.js

+// needs n and m
+//var n = 126, // number of layers
+    //m = 7, // number of samples per layer
+
+var data0 = d3.layout.stack().offset("wiggle")(
+          _(ordered_colors).map(function(c){ return color_points[c]; })
+        );
+
+var w = 1400,
+    h = 900,
+    mx = m - 1,
+    my = d3.max(data0.concat(data0), function(d) {
+      return d3.max(d, function(d) {
+        return d.y0 + d.y;
+      });
+    });
+
+var area = d3.svg.area()
+    .x(function(d) { return d.x * w / mx; })
+    .y0(function(d) { return h - d.y0 * h / my; })
+    .y1(function(d) { return h - (d.y + d.y0) * h / my; });
+
+var vis = d3.select("#chart")
+  .append("svg")
+    .attr("width", w)
+    .attr("height", h);
+
+vis.selectAll("path")
+    .data(data0)
+  .enter().append("path")
+    .style("fill", function(d, i) { return ordered_colors[i]; })
+    .attr("d", area);

File template/stream_layers.js

+/* Inspired by Lee Byron's test data generator. */
+function stream_layers(n, m, o) {
+  if (arguments.length < 3) o = 0;
+  function bump(a) {
+    var x = 1 / (.1 + Math.random()),
+        y = 2 * Math.random() - .5,
+        z = 10 / (.1 + Math.random());
+    for (var i = 0; i < m; i++) {
+      var w = (i / m - y) * z;
+      a[i] += x * Math.exp(-w * w);
+    }
+  }
+  return d3.range(n).map(function() {
+      var a = [], i;
+      for (i = 0; i < m; i++) a[i] = o + o * Math.random();
+      for (i = 0; i < 5; i++) bump(a);
+      return a.map(stream_index);
+    });
+}
+
+/* Another layer generator using gamma distributions. */
+function stream_waves(n, m) {
+  return d3.range(n).map(function(i) {
+    return d3.range(m).map(function(j) {
+        var x = 20 * j / m - i / 3;
+        return 2 * x * Math.exp(-.5 * x);
+      }).map(stream_index);
+    });
+}
+
+function stream_index(d, i) {
+  return {x: i, y: Math.max(0, d)};
+}

File template/stream_monthly_hue.html

+<!DOCTYPE html>
+<html>
+  <head>
+    <title>Streamgraph</title>
+    <script type="text/javascript" src="color_monthly_hue.js"></script>
+    <script type="text/javascript" src="underscore-min.js"></script>
+    <script type="text/javascript" src="d3.v2.min.js"></script>
+    <script type="text/javascript" src="stream_layers.js"></script>
+    <link type="text/css" rel="stylesheet" href="button.css"/>
+    <link type="text/css" rel="stylesheet" href="stream.css"/>
+  </head>
+  <body>
+    <div id="chart">
+    </div>
+    <script type="text/javascript" src="stream.js"></script>
+  </body>
+</html>

File template/stream_monthly_popularity.html

+<!DOCTYPE html>
+<html>
+  <head>
+    <title>Streamgraph</title>
+    <script type="text/javascript" src="color_monthly_popularity.js"></script>
+    <script type="text/javascript" src="underscore-min.js"></script>
+    <script type="text/javascript" src="d3.v2.min.js"></script>
+    <script type="text/javascript" src="stream_layers.js"></script>
+    <link type="text/css" rel="stylesheet" href="button.css"/>
+    <link type="text/css" rel="stylesheet" href="stream.css"/>
+  </head>
+  <body>
+    <div id="chart"></div>
+    <script type="text/javascript" src="stream.js"></script>
+  </body>
+</html>

File template/stream_weekly_hue.html

+<!DOCTYPE html>
+<html>
+  <head>
+    <title>Streamgraph</title>
+    <script type="text/javascript" src="color_weekly_hue.js"></script>
+    <script type="text/javascript" src="underscore-min.js"></script>
+    <script type="text/javascript" src="d3.v2.min.js"></script>
+    <script type="text/javascript" src="stream_layers.js"></script>
+    <link type="text/css" rel="stylesheet" href="button.css"/>
+    <link type="text/css" rel="stylesheet" href="stream.css"/>
+  </head>
+  <body>
+    <div id="chart">
+    </div>
+    <script type="text/javascript" src="stream.js"></script>
+  </body>
+</html>

File template/stream_weekly_popularity.html

+<!DOCTYPE html>
+<html>
+  <head>
+    <title>Streamgraph</title>
+    <script type="text/javascript" src="color_weekly_popularity.js"></script>
+    <script type="text/javascript" src="underscore-min.js"></script>
+    <script type="text/javascript" src="d3.v2.min.js"></script>
+    <script type="text/javascript" src="stream_layers.js"></script>
+    <link type="text/css" rel="stylesheet" href="button.css"/>
+    <link type="text/css" rel="stylesheet" href="stream.css"/>
+  </head>
+  <body>
+    <div id="chart">
+    </div>
+    <script type="text/javascript" src="stream.js"></script>
+  </body>
+</html>

File template/underscore-min.js

+// Underscore.js 1.3.1
+// (c) 2009-2012 Jeremy Ashkenas, DocumentCloud Inc.
+// Underscore is freely distributable under the MIT license.
+// Portions of Underscore are inspired or borrowed from Prototype,
+// Oliver Steele's Functional, and John Resig's Micro-Templating.
+// For all details and documentation:
+// http://documentcloud.github.com/underscore
+(function(){function q(a,c,d){if(a===c)return a!==0||1/a==1/c;if(a==null||c==null)return a===c;if(a._chain)a=a._wrapped;if(c._chain)c=c._wrapped;if(a.isEqual&&b.isFunction(a.isEqual))return a.isEqual(c);if(c.isEqual&&b.isFunction(c.isEqual))return c.isEqual(a);var e=l.call(a);if(e!=l.call(c))return false;switch(e){case "[object String]":return a==String(c);case "[object Number]":return a!=+a?c!=+c:a==0?1/a==1/c:a==+c;case "[object Date]":case "[object Boolean]":return+a==+c;case "[object RegExp]":return a.source==
+c.source&&a.global==c.global&&a.multiline==c.multiline&&a.ignoreCase==c.ignoreCase}if(typeof a!="object"||typeof c!="object")return false;for(var f=d.length;f--;)if(d[f]==a)return true;d.push(a);var f=0,g=true;if(e=="[object Array]"){if(f=a.length,g=f==c.length)for(;f--;)if(!(g=f in a==f in c&&q(a[f],c[f],d)))break}else{if("constructor"in a!="constructor"in c||a.constructor!=c.constructor)return false;for(var h in a)if(b.has(a,h)&&(f++,!(g=b.has(c,h)&&q(a[h],c[h],d))))break;if(g){for(h in c)if(b.has(c,
+h)&&!f--)break;g=!f}}d.pop();return g}var r=this,G=r._,n={},k=Array.prototype,o=Object.prototype,i=k.slice,H=k.unshift,l=o.toString,I=o.hasOwnProperty,w=k.forEach,x=k.map,y=k.reduce,z=k.reduceRight,A=k.filter,B=k.every,C=k.some,p=k.indexOf,D=k.lastIndexOf,o=Array.isArray,J=Object.keys,s=Function.prototype.bind,b=function(a){return new m(a)};if(typeof exports!=="undefined"){if(typeof module!=="undefined"&&module.exports)exports=module.exports=b;exports._=b}else r._=b;b.VERSION="1.3.1";var j=b.each=
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