def testNestedTreeMap(self):
data = [
('a', [('p', 10), ('q', 40)]),
('b', [('r', 150), ('s', 50)])
]
area = Rect(250,200)
# will generate a treemap like this:
#
# (0,0)+--------------+------------+
# | | |
# | b.r | a.q |
# | (200x150) | (50x160) |
# | | |
# +--------------+ |
# | +------------+
# | b.s | a.p |
# | (200x50) | (50x40) |
# +--------------+------------+
ds = Dataset(data)
tm = ds.treemap(area)
expected = [
# [x, y, w, h, val, lbl]
[0, 0, 200, 150, 150, 'b.r'],
[0, 150, 200, 50, 50, 'b.s'],
[200, 0, 50, 160, 40, 'a.q'],
[200, 160, 50, 40, 10, 'a.p'],
]
for i in range(0, len(expected)):
self.assertEqual(tm[i].origin.x, expected[i][0])
self.assertEqual(tm[i].origin.y, expected[i][1])
self.assertEqual(tm[i].area.width, expected[i][2])
self.assertEqual(tm[i].area.height, expected[i][3])
self.assertEqual(tm[i].value, expected[i][4])
self.assertEqual(tm[i].label, expected[i][5])
# test properties
self.assertEqual(tm[i].x, expected[i][0])
self.assertEqual(tm[i].y, expected[i][1])
self.assertEqual(tm[i].width, expected[i][2])
self.assertEqual(tm[i].height, expected[i][3])
def testTreeMap(self):
data = [('a', 100), ('b', 150), ('c', 250)]
area = Rect(300,200)
# will generate a treemap like this:
#
# (0,0)+------------+------------+
# | c | b |
# | (150x200) | (150x120) |
# | | |
# | +------------+
# | | a |
# | | (150x80) |
# +------------+------------+
ds = Dataset(data)
tm = ds.treemap(area)
expected = [
# [x, y, w, h, val, lbl]
[0, 0, 150, 200, 250, 'c'],
[150, 0, 150, 120, 150, 'b'],
[150, 120, 150, 80, 100, 'a']
]
for i in range(0, len(expected)):
self.assertEqual(tm[i].origin.x, expected[i][0])
self.assertEqual(tm[i].origin.y, expected[i][1])
self.assertEqual(tm[i].area.width, expected[i][2])
self.assertEqual(tm[i].area.height, expected[i][3])
self.assertEqual(tm[i].value, expected[i][4])
self.assertEqual(tm[i].label, expected[i][5])
# test properties
self.assertEqual(tm[i].x, expected[i][0])
self.assertEqual(tm[i].y, expected[i][1])
self.assertEqual(tm[i].width, expected[i][2])
self.assertEqual(tm[i].height, expected[i][3])
]),
('North America', [
('Canada', 9577648),
('United States', 80071074),
]),
('Asia', [
('Japan', 30107327),
('Korea', 15474931),
('Turkey', 5736619),
]),
('South America', [
('Mexico', 7604629),
]),
]
ig = Dataset(data)
frames = ig.treemap(Rect(600,420), origin=Point(0,0), padding=1, threshold=40000000)
with open("oecd-broadband.html", "w") as f:
f.write("""<html>
<head>
<title>fancypants example: OECD broadband subscriptions</title>
<style>
@import url('oecd-broadband.css');
</style>
</head>
<body>
<p>Broadband subscribers (millions) per OECD country. Data source: <a href="http://www.guardian.co.uk/news/datablog/2009/may/20/broadband-internetphonesbroadband">Guardian Datablog</a>. Created using <a href="http://github.com/simonwhitaker/fancypants">fancypants</a></p>
<div style="position:relative">
