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pygal/docs/chart_types.rst

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Working on porting doc
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===============
Documentation
===============
Chart types
===========
pygal provides 10 kinds of charts:
.. contents::
Line charts
-----------
Basic
~~~~~
Basic simple line graph:
.. pygal-code::
line_chart = pygal.Line()
line_chart.title = 'Browser usage evolution (in %)'
line_chart.x_labels = map(str, range(2002, 2013))
line_chart.add('Firefox', [None, None, 0, 16.6, 25, 31, 36.4, 45.5, 46.3, 42.8, 37.1])
line_chart.add('Chrome', [None, None, None, None, None, None, 0, 3.9, 10.8, 23.8, 35.3])
line_chart.add('IE', [85.8, 84.6, 84.7, 74.5, 66, 58.6, 54.7, 44.8, 36.2, 26.6, 20.1])
line_chart.add('Others', [14.2, 15.4, 15.3, 8.9, 9, 10.4, 8.9, 5.8, 6.7, 6.8, 7.5])
Stacked
~~~~~~~
Same graph but with stacked values and filled rendering:
.. pygal-code::
line_chart = pygal.StackedLine(fill=True)
line_chart.title = 'Browser usage evolution (in %)'
line_chart.x_labels = map(str, range(2002, 2013))
line_chart.add('Firefox', [None, None, 0, 16.6, 25, 31, 36.4, 45.5, 46.3, 42.8, 37.1])
line_chart.add('Chrome', [None, None, None, None, None, None, 0, 3.9, 10.8, 23.8, 35.3])
line_chart.add('IE', [85.8, 84.6, 84.7, 74.5, 66, 58.6, 54.7, 44.8, 36.2, 26.6, 20.1])
line_chart.add('Others', [14.2, 15.4, 15.3, 8.9, 9, 10.4, 8.9, 5.8, 6.7, 6.8, 7.5])
Bar charts / Histograms
-----------------------
Basic
~~~~~
Basic simple bar graph:
.. pygal-code::
line_chart = pygal.Bar()
line_chart.title = 'Browser usage evolution (in %)'
line_chart.x_labels = map(str, range(2002, 2013))
line_chart.add('Firefox', [None, None, 0, 16.6, 25, 31, 36.4, 45.5, 46.3, 42.8, 37.1])
line_chart.add('Chrome', [None, None, None, None, None, None, 0, 3.9, 10.8, 23.8, 35.3])
line_chart.add('IE', [85.8, 84.6, 84.7, 74.5, 66, 58.6, 54.7, 44.8, 36.2, 26.6, 20.1])
line_chart.add('Others', [14.2, 15.4, 15.3, 8.9, 9, 10.4, 8.9, 5.8, 6.7, 6.8, 7.5])
Stacked
~~~~~~~
Same graph but with stacked values:
.. pygal-code::
line_chart = pygal.StackedBar()
line_chart.title = 'Browser usage evolution (in %)'
line_chart.x_labels = map(str, range(2002, 2013))
line_chart.add('Firefox', [None, None, 0, 16.6, 25, 31, 36.4, 45.5, 46.3, 42.8, 37.1])
line_chart.add('Chrome', [None, None, None, None, None, None, 0, 3.9, 10.8, 23.8, 35.3])
line_chart.add('IE', [85.8, 84.6, 84.7, 74.5, 66, 58.6, 54.7, 44.8, 36.2, 26.6, 20.1])
line_chart.add('Others', [14.2, 15.4, 15.3, 8.9, 9, 10.4, 8.9, 5.8, 6.7, 6.8, 7.5])
Horizontal
~~~~~~~~~~
Horizontal bar diagram:
.. pygal-code::
line_chart = pygal.HorizontalBar()
line_chart.title = 'Browser usage in February 2012 (in %)'
line_chart.add('IE', 19.5)
line_chart.add('Firefox', 36.6)
line_chart.add('Chrome', 36.3)
line_chart.add('Safari', 4.5)
line_chart.add('Opera', 2.3)
XY charts
---------
Basic
~~~~~
Basic XY lines, drawing cosinus:
.. pygal-code::
from math import cos
xy_chart = pygal.XY()
xy_chart.title = 'XY Cosinus'
xy_chart.add('x = cos(y)', [(cos(x / 10.), x / 10.) for x in range(-50, 50, 5)])
xy_chart.add('y = cos(x)', [(x / 10., cos(x / 10.)) for x in range(-50, 50, 5)])
xy_chart.add('x = 1', [(1, -5), (1, 5)])
xy_chart.add('x = -1', [(-1, -5), (-1, 5)])
xy_chart.add('y = 1', [(-5, 1), (5, 1)])
xy_chart.add('y = -1', [(-5, -1), (5, -1)])
Scatter Plot
~~~~~~~~~~~~
Disabling stroke make a good scatter plot
.. pygal-code::
xy_chart = pygal.XY(stroke=False)
xy_chart.title = 'Correlation'
xy_chart.add('A', [(0, 0), (.1, .2), (.3, .1), (.5, 1), (.8, .6), (1, 1.08), (1.3, 1.1), (2, 3.23), (2.43, 2)])
xy_chart.add('B', [(.1, .15), (.12, .23), (.4, .3), (.6, .4), (.21, .21), (.5, .3), (.6, .8), (.7, .8)])
xy_chart.add('C', [(.05, .01), (.13, .02), (1.5, 1.7), (1.52, 1.6), (1.8, 1.63), (1.5, 1.82), (1.7, 1.23), (2.1, 2.23), (2.3, 1.98)])
DateY
~~~~~
You can index values by dates (Thanks to `Snarkturne <https://github.com/snarkturne>`_)
.. pygal-code::
from datetime import datetime, timedelta
datey = pygal.DateY(x_label_rotation=20)
datey.add("Visits", [
(datetime(2013, 1, 2), 300),
(datetime(2013, 1, 12), 412),
(datetime(2013, 2, 2), 823),
(datetime(2013, 2, 22), 672)
])
The x axis and tool tip x labels can be specified using `x_label_format`. This uses the formatting string for strftime from `here <http://docs.python.org/2/library/time.html#time.strftime>`_
The x labels can also be specified, using an array of datetime objects.
.. pygal-code::
from datetime import datetime, timedelta
datey = pygal.DateY(x_label_rotation=20)
datey.add("Visits", [
(datetime(2013, 1, 2), 300),
(datetime(2013, 1, 12), 412),
(datetime(2013, 2, 2), 823),
(datetime(2013, 2, 22), 672)
])
datey.x_label_format = "%Y-%m-%d"
datey.x_labels = [
datetime(2013, 1, 1),
datetime(2013, 2, 1),
datetime(2013, 3, 1)
]
Pies
----
Basic
~~~~~
Simple pie:
.. pygal-code::
pie_chart = pygal.Pie()
pie_chart.title = 'Browser usage in February 2012 (in %)'
pie_chart.add('IE', 19.5)
pie_chart.add('Firefox', 36.6)
pie_chart.add('Chrome', 36.3)
pie_chart.add('Safari', 4.5)
pie_chart.add('Opera', 2.3)
Multi-series pie
~~~~~~~~~~~~~~~~
Same pie but divided in sub category:
.. pygal-code::
pie_chart = pygal.Pie()
pie_chart.title = 'Browser usage by version in February 2012 (in %)'
pie_chart.add('IE', [5.7, 10.2, 2.6, 1])
pie_chart.add('Firefox', [.6, 16.8, 7.4, 2.2, 1.2, 1, 1, 1.1, 4.3, 1])
pie_chart.add('Chrome', [.3, .9, 17.1, 15.3, .6, .5, 1.6])
pie_chart.add('Safari', [4.4, .1])
pie_chart.add('Opera', [.1, 1.6, .1, .5])
Radar charts
------------
Basic
~~~~~
Simple Kiviat diagram:
.. pygal-code::
radar_chart = pygal.Radar()
radar_chart.title = 'V8 benchmark results'
radar_chart.x_labels = ['Richards', 'DeltaBlue', 'Crypto', 'RayTrace', 'EarleyBoyer', 'RegExp', 'Splay', 'NavierStokes']
radar_chart.add('Chrome', [6395, 8212, 7520, 7218, 12464, 1660, 2123, 8607])
radar_chart.add('Firefox', [7473, 8099, 11700, 2651, 6361, 1044, 3797, 9450])
radar_chart.add('Opera', [3472, 2933, 4203, 5229, 5810, 1828, 9013, 4669])
radar_chart.add('IE', [43, 41, 59, 79, 144, 136, 34, 102])
Box plot
--------
Basic
~~~~~
Here's some whiskers:
.. pygal-code::
box_plot = pygal.Box()
box_plot.title = 'V8 benchmark results'
box_plot.add('Chrome', [6395, 8212, 7520, 7218, 12464, 1660, 2123, 8607])
box_plot.add('Firefox', [7473, 8099, 11700, 2651, 6361, 1044, 3797, 9450])
box_plot.add('Opera', [3472, 2933, 4203, 5229, 5810, 1828, 9013, 4669])
box_plot.add('IE', [43, 41, 59, 79, 144, 136, 34, 102])
Dot charts
----------
Basic
~~~~~
Punch card like chart:
.. pygal-code::
dot_chart = pygal.Dot(x_label_rotation=30)
dot_chart.title = 'V8 benchmark results'
dot_chart.x_labels = ['Richards', 'DeltaBlue', 'Crypto', 'RayTrace', 'EarleyBoyer', 'RegExp', 'Splay', 'NavierStokes']
dot_chart.add('Chrome', [6395, 8212, 7520, 7218, 12464, 1660, 2123, 8607])
dot_chart.add('Firefox', [7473, 8099, 11700, 2651, 6361, 1044, 3797, 9450])
dot_chart.add('Opera', [3472, 2933, 4203, 5229, 5810, 1828, 9013, 4669])
dot_chart.add('IE', [43, 41, 59, 79, 144, 136, 34, 102])
Funnel charts
-------------
Basic
~~~~~
Funnel chart:
.. pygal-code::
funnel_chart = pygal.Funnel()
funnel_chart.title = 'V8 benchmark results'
funnel_chart.x_labels = ['Richards', 'DeltaBlue', 'Crypto', 'RayTrace', 'EarleyBoyer', 'RegExp', 'Splay', 'NavierStokes']
funnel_chart.add('Opera', [3472, 2933, 4203, 5229, 5810, 1828, 9013, 4669])
funnel_chart.add('Firefox', [7473, 8099, 11700, 2651, 6361, 1044, 3797, 9450])
funnel_chart.add('Chrome', [6395, 8212, 7520, 7218, 12464, 1660, 2123, 8607])
Gauge charts
------------
Basic
~~~~~
Simple gauge chart:
.. pygal-code::
gauge_chart = pygal.Gauge(human_readable=True)
gauge_chart.title = 'DeltaBlue V8 benchmark results'
gauge_chart.x_labels = ['Richards', 'DeltaBlue', 'Crypto', 'RayTrace', 'EarleyBoyer', 'RegExp', 'Splay', 'NavierStokes']
gauge_chart.range = [0, 10000]
gauge_chart.add('Chrome', 8212)
gauge_chart.add('Firefox', 8099)
gauge_chart.add('Opera', 2933)
gauge_chart.add('IE', 41)
Pyramid charts
--------------
Basic
~~~~~
Population pyramid:
.. pygal-code:: 600 600
ages = [(364381, 358443, 360172, 345848, 334895, 326914, 323053, 312576, 302015, 301277, 309874, 318295, 323396, 332736, 330759, 335267, 345096, 352685, 368067, 381521, 380145, 378724, 388045, 382303, 373469, 365184, 342869, 316928, 285137, 273553, 250861, 221358, 195884, 179321, 171010, 162594, 152221, 148843, 143013, 135887, 125824, 121493, 115913, 113738, 105612, 99596, 91609, 83917, 75688, 69538, 62999, 58864, 54593, 48818, 44739, 41096, 39169, 36321, 34284, 32330, 31437, 30661, 31332, 30334, 23600, 21999, 20187, 19075, 16574, 15091, 14977, 14171, 13687, 13155, 12558, 11600, 10827, 10436, 9851, 9794, 8787, 7993, 6901, 6422, 5506, 4839, 4144, 3433, 2936, 2615),
(346205, 340570, 342668, 328475, 319010, 312898, 308153, 296752, 289639, 290466, 296190, 303871, 309886, 317436, 315487, 316696, 325772, 331694, 345815, 354696, 354899, 351727, 354579, 341702, 336421, 321116, 292261, 261874, 242407, 229488, 208939, 184147, 162662, 147361, 140424, 134336, 126929, 125404, 122764, 116004, 105590, 100813, 95021, 90950, 85036, 79391, 72952, 66022, 59326, 52716, 46582, 42772, 38509, 34048, 30887, 28053, 26152, 23931, 22039, 20677, 19869, 19026, 18757, 18308, 14458, 13685, 12942, 12323, 11033, 10183, 10628, 10803, 10655, 10482, 10202, 10166, 9939, 10138, 10007, 10174, 9997, 9465, 9028, 8806, 8450, 7941, 7253, 6698, 6267, 5773),
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23, 91, 412, 1319, 2984, 5816, 10053, 16045, 24240, 35066, 47828, 62384, 78916, 97822, 112738, 124414, 130658, 140789, 153951, 168560, 179996, 194471, 212006, 225209, 228886, 239690, 245974, 253459, 255455, 260715, 259980, 256481, 252222, 249467, 240268, 238465, 238167, 231361, 223832, 220459, 222512, 220099, 219301, 221322, 229783, 239336, 258360, 271151, 218063, 213461, 207617, 196227, 174615, 160855, 165410, 163070, 157379, 149698, 140570, 131785, 119936, 113751, 106989, 99294, 89097, 78413, 68174, 60592, 52189, 43375, 35469, 29648, 24575, 20863),
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 74, 392, 1351, 3906, 7847, 12857, 19913, 29108, 42475, 58287, 74163, 90724, 108375, 125886, 141559, 148061, 152871, 159725, 171298, 183536, 196136, 210831, 228757, 238731, 239616, 250036, 251759, 259593, 261832, 264864, 264702, 264070, 258117, 253678, 245440, 241342, 239843, 232493, 226118, 221644, 223440, 219833, 219659, 221271, 227123, 232865, 250646, 261796, 210136, 201824, 193109, 181831, 159280, 145235, 145929, 140266, 133082, 124350, 114441, 104655, 93223, 85899, 78800, 72081, 62645, 53214, 44086, 38481, 32219, 26867, 21443, 16899, 13680, 11508),
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 5, 17, 15, 31, 34, 38, 35, 45, 299, 295, 218, 247, 252, 254, 222, 307, 316, 385, 416, 463, 557, 670, 830, 889, 1025, 1149, 1356, 1488, 1835, 1929, 2130, 2362, 2494, 2884, 3160, 3487, 3916, 4196, 4619, 5032, 5709, 6347, 7288, 8139, 9344, 11002, 12809, 11504, 11918, 12927, 13642, 13298, 14015, 15751, 17445, 18591, 19682, 20969, 21629, 22549, 23619, 25288, 26293, 27038, 27039, 27070, 27750, 27244, 25905, 24357, 22561, 21794, 20595),
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 8, 0, 8, 21, 34, 49, 84, 97, 368, 401, 414, 557, 654, 631, 689, 698, 858, 1031, 1120, 1263, 1614, 1882, 2137, 2516, 2923, 3132, 3741, 4259, 4930, 5320, 5948, 6548, 7463, 8309, 9142, 10321, 11167, 12062, 13317, 15238, 16706, 18236, 20336, 23407, 27024, 32502, 37334, 34454, 38080, 41811, 44490, 45247, 46830, 53616, 58798, 63224, 66841, 71086, 73654, 77334, 82062, 87314, 92207, 94603, 94113, 92753, 93174, 91812, 87757, 84255, 79723, 77536, 74173),
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 5, 0, 11, 35, 137, 331, 803, 1580, 2361, 3632, 4866, 6849, 8754, 10422, 12316, 14152, 16911, 19788, 22822, 27329, 31547, 35711, 38932, 42956, 46466, 49983, 52885, 55178, 56549, 57632, 57770, 57427, 56348, 55593, 55554, 53266, 51084, 49342, 48555, 47067, 45789, 44988, 44624, 44238, 46267, 46203, 36964, 33866, 31701, 28770, 25174, 22702, 21934, 20638, 19051, 17073, 15381, 13736, 11690, 10368, 9350, 8375, 7063, 6006, 5044, 4030, 3420, 2612, 2006, 1709, 1264, 1018),
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 6, 11, 20, 68, 179, 480, 1077, 2094, 3581, 5151, 7047, 9590, 12434, 15039, 17257, 19098, 21324, 24453, 27813, 32316, 37281, 43597, 49647, 53559, 58888, 62375, 67219, 70956, 73547, 74904, 75994, 76224, 74979, 72064, 70330, 68944, 66527, 63073, 60899, 60968, 58756, 57647, 56301, 57246, 57068, 59027, 59187, 47549, 44425, 40976, 38077, 32904, 29431, 29491, 28020, 26086, 24069, 21742, 19498, 17400, 15738, 14451, 13107, 11568, 10171, 8530, 7273, 6488, 5372, 4499, 3691, 3259, 2657)]
types = ['Males single', 'Females single',
'Males married', 'Females married',
'Males widowed', 'Females widowed',
'Males divorced', 'Females divorced']
pyramid_chart = pygal.Pyramid(human_readable=True, legend_at_bottom=True)
pyramid_chart.title = 'England population by age in 2010 (source: ons.gov.uk)'
pyramid_chart.x_labels = map(lambda x: str(x) if not x % 5 else '', range(90))
for type, age in zip(types, ages):
pyramid_chart.add(type, age)
Worldmap charts
---------------
Basic
~~~~~
Highlight some countries:
.. pygal-code::
worldmap_chart = pygal.Worldmap()
worldmap_chart.title = 'Some countries'
worldmap_chart.add('F countries', ['fr', 'fi'])
worldmap_chart.add('M countries', ['ma', 'mc', 'md', 'me', 'mg',
'mk', 'ml', 'mm', 'mn', 'mo',
'mr', 'mt', 'mu', 'mv', 'mw',
'mx', 'my', 'mz'])
worldmap_chart.add('U countries', ['ua', 'ug', 'us', 'uy', 'uz'])
You can also specify an number for a country:
.. pygal-code::
worldmap_chart = pygal.Worldmap()
worldmap_chart.title = 'Minimum deaths by capital punishement (source: Amnesty International)'
worldmap_chart.add('In 2012', {
'af': 14,
'bd': 1,
'by': 3,
'cn': 1000,
'gm': 9,
'in': 1,
'ir': 314,
'iq': 129,
'jp': 7,
'kp': 6,
'pk': 1,
'ps': 6,
'sa': 79,
'so': 6,
'sd': 5,
'tw': 6,
'ae': 1,
'us': 43,
'ye': 28
})
The following countries are supported:
- `ad`: Andorra
- `ae`: United Arab Emirates
- `af`: Afghanistan
- `al`: Albania
- `am`: Armenia
- `ao`: Angola
- `aq`: Antarctica
- `ar`: Argentina
- `at`: Austria
- `au`: Australia
- `az`: Azerbaijan
- `ba`: Bosnia and Herzegovina
- `bd`: Bangladesh
- `be`: Belgium
- `bf`: Burkina Faso
- `bg`: Bulgaria
- `bh`: Bahrain
- `bi`: Burundi
- `bj`: Benin
- `bn`: Brunei Darussalam
- `bo`: Bolivia, Plurinational State of
- `br`: Brazil
- `bt`: Bhutan
- `bw`: Botswana
- `by`: Belarus
- `bz`: Belize
- `ca`: Canada
- `cd`: Congo, the Democratic Republic of the
- `cf`: Central African Republic
- `cg`: Congo
- `ch`: Switzerland
- `ci`: Cote d'Ivoire
- `cl`: Chile
- `cm`: Cameroon
- `cn`: China
- `co`: Colombia
- `cr`: Costa Rica
- `cu`: Cuba
- `cv`: Cape Verde
- `cy`: Cyprus
- `cz`: Czech Republic
- `de`: Germany
- `dj`: Djibouti
- `dk`: Denmark
- `do`: Dominican Republic
- `dz`: Algeria
- `ec`: Ecuador
- `ee`: Estonia
- `eg`: Egypt
- `eh`: Western Sahara
- `er`: Eritrea
- `es`: Spain
- `et`: Ethiopia
- `fi`: Finland
- `fr`: France
- `ga`: Gabon
- `gb`: United Kingdom
- `ge`: Georgia
- `gf`: French Guiana
- `gh`: Ghana
- `gl`: Greenland
- `gm`: Gambia
- `gn`: Guinea
- `gq`: Equatorial Guinea
- `gr`: Greece
- `gt`: Guatemala
- `gu`: Guam
- `gw`: Guinea-Bissau
- `gy`: Guyana
- `hk`: Hong Kong
- `hn`: Honduras
- `hr`: Croatia
- `ht`: Haiti
- `hu`: Hungary
- `id`: Indonesia
- `ie`: Ireland
- `il`: Israel
- `in`: India
- `iq`: Iraq
- `ir`: Iran, Islamic Republic of
- `is`: Iceland
- `it`: Italy
- `jm`: Jamaica
- `jo`: Jordan
- `jp`: Japan
- `ke`: Kenya
- `kg`: Kyrgyzstan
- `kh`: Cambodia
- `kp`: Korea, Democratic People's Republic of
- `kr`: Korea, Republic of
- `kw`: Kuwait
- `kz`: Kazakhstan
- `la`: Lao People's Democratic Republic
- `lb`: Lebanon
- `li`: Liechtenstein
- `lk`: Sri Lanka
- `lr`: Liberia
- `ls`: Lesotho
- `lt`: Lithuania
- `lu`: Luxembourg
- `lv`: Latvia
- `ly`: Libyan Arab Jamahiriya
- `ma`: Morocco
- `mc`: Monaco
- `md`: Moldova, Republic of
- `me`: Montenegro
- `mg`: Madagascar
- `mk`: Macedonia, the former Yugoslav Republic of
- `ml`: Mali
- `mm`: Myanmar
- `mn`: Mongolia
- `mo`: Macao
- `mr`: Mauritania
- `mt`: Malta
- `mu`: Mauritius
- `mv`: Maldives
- `mw`: Malawi
- `mx`: Mexico
- `my`: Malaysia
- `mz`: Mozambique
- `na`: Namibia
- `ne`: Niger
- `ng`: Nigeria
- `ni`: Nicaragua
- `nl`: Netherlands
- `no`: Norway
- `np`: Nepal
- `nz`: New Zealand
- `om`: Oman
- `pa`: Panama
- `pe`: Peru
- `pg`: Papua New Guinea
- `ph`: Philippines
- `pk`: Pakistan
- `pl`: Poland
- `pr`: Puerto Rico
- `ps`: Palestine, State of
- `pt`: Portugal
- `py`: Paraguay
- `re`: Reunion
- `ro`: Romania
- `rs`: Serbia
- `ru`: Russian Federation
- `rw`: Rwanda
- `sa`: Saudi Arabia
- `sc`: Seychelles
- `sd`: Sudan
- `se`: Sweden
- `sg`: Singapore
- `sh`: Saint Helena, Ascension and Tristan da Cunha
- `si`: Slovenia
- `sk`: Slovakia
- `sl`: Sierra Leone
- `sm`: San Marino
- `sn`: Senegal
- `so`: Somalia
- `sr`: Suriname
- `st`: Sao Tome and Principe
- `sv`: El Salvador
- `sy`: Syrian Arab Republic
- `sz`: Swaziland
- `td`: Chad
- `tg`: Togo
- `th`: Thailand
- `tj`: Tajikistan
- `tl`: Timor-Leste
- `tm`: Turkmenistan
- `tn`: Tunisia
- `tr`: Turkey
- `tw`: Taiwan, Province of China
- `tz`: Tanzania, United Republic of
- `ua`: Ukraine
- `ug`: Uganda
- `us`: United States
- `uy`: Uruguay
- `uz`: Uzbekistan
- `va`: Holy See (Vatican City State)
- `ve`: Venezuela, Bolivarian Republic of
- `vn`: Viet Nam
- `ye`: Yemen
- `yt`: Mayotte
- `za`: South Africa
- `zm`: Zambia
- `zw`: Zimbabwe
Country charts
--------------
As of now, only France is available. As other country are implemented, this will be externalized in other packages.
(Please submit pull requests :))
French map
~~~~~~~~~~
Highlight some departments:
.. pygal-code::
fr_chart = pygal.FrenchMap_Departments()
fr_chart.title = 'Some departments'
fr_chart.add('Métropole', ['69', '92', '13'])
fr_chart.add('Corse', ['2A', '2B'])
fr_chart.add('DOM COM', ['971', '972', '973', '974'])
You can also specify an number for a department:
.. pygal-code::
fr_chart = pygal.FrenchMap_Departments(human_readable=True)
fr_chart.title = 'Population by department'
fr_chart.add('In 2011', {
'01': 603827,
'02': 541302,
'03': 342729,
'04': 160959,
'05': 138605,
'06': 1081244,
'07': 317277,
'08': 283110,
'09': 152286,
'10': 303997,
'11': 359967,
'12': 275813,
'13': 1975896,
'14': 685262,
'15': 147577,
'16': 352705,
'17': 625682,
'18': 311694,
'19': 242454,
'2A': 145846,
'2B': 168640,
'21': 525931,
'22': 594375,
'23': 122560,
'24': 415168,
'25': 529103,
'26': 487993,
'27': 588111,
'28': 430416,
'29': 899870,
'30': 718357,
'31': 1260226,
'32': 188893,
'33': 1463662,
'34': 1062036,
'35': 996439,
'36': 230175,
'37': 593683,
'38': 1215212,
'39': 261294,
'40': 387929,
'41': 331280,
'42': 749053,
'43': 224907,
'44': 1296364,
'45': 659587,
'46': 174754,
'47': 330866,
'48': 77156,
'49': 790343,
'50': 499531,
'51': 566571,
'52': 182375,
'53': 307031,
'54': 733124,
'55': 193557,
'56': 727083,
'57': 1045146,
'58': 218341,
'59': 2579208,
'60': 805642,
'61': 290891,
'62': 1462807,
'63': 635469,
'64': 656608,
'65': 229228,
'66': 452530,
'67': 1099269,
'68': 753056,
'69': 1744236,
'70': 239695,
'71': 555999,
'72': 565718,
'73': 418949,
'74': 746994,
'75': 2249975,
'76': 1251282,
'77': 1338427,
'78': 1413635,
'79': 370939,
'80': 571211,
'81': 377675,
'82': 244545,
'83': 1012735,
'84': 546630,
'85': 641657,
'86': 428447,
'87': 376058,
'88': 378830,
'89': 342463,
'90': 143348,
'91': 1225191,
'92': 1581628,
'93': 1529928,
'94': 1333702,
'95': 1180365,
'971': 404635,
'972': 392291,
'973': 237549,
'974': 828581,
'976': 212645
})
You can do the same with regions:
.. pygal-code::
fr_chart = pygal.FrenchMap_Regions()
fr_chart.title = 'Some regions'
fr_chart.add('Métropole', ['82', '11', '93'])
fr_chart.add('Corse', ['94'])
fr_chart.add('DOM COM', ['01', '02', '03', '04'])
You can also specify a number for a region and use a department to region aggregation:
.. pygal-code::
from pygal.graph.frenchmap import aggregate_regions
fr_chart = pygal.FrenchMap_Regions(human_readable=True)
fr_chart.title = 'Population by region'
fr_chart.add('In 2011', aggregate_regions({
'01': 603827,
'02': 541302,
'03': 342729,
'04': 160959,
'05': 138605,
'06': 1081244,
'07': 317277,
'08': 283110,
'09': 152286,
'10': 303997,
'11': 359967,
'12': 275813,
'13': 1975896,
'14': 685262,
'15': 147577,
'16': 352705,
'17': 625682,
'18': 311694,
'19': 242454,
'2A': 145846,
'2B': 168640,
'21': 525931,
'22': 594375,
'23': 122560,
'24': 415168,
'25': 529103,
'26': 487993,
'27': 588111,
'28': 430416,
'29': 899870,
'30': 718357,
'31': 1260226,
'32': 188893,
'33': 1463662,
'34': 1062036,
'35': 996439,
'36': 230175,
'37': 593683,
'38': 1215212,
'39': 261294,
'40': 387929,
'41': 331280,
'42': 749053,
'43': 224907,
'44': 1296364,
'45': 659587,
'46': 174754,
'47': 330866,
'48': 77156,
'49': 790343,
'50': 499531,
'51': 566571,
'52': 182375,
'53': 307031,
'54': 733124,
'55': 193557,
'56': 727083,
'57': 1045146,
'58': 218341,
'59': 2579208,
'60': 805642,
'61': 290891,
'62': 1462807,
'63': 635469,
'64': 656608,
'65': 229228,
'66': 452530,
'67': 1099269,
'68': 753056,
'69': 1744236,
'70': 239695,
'71': 555999,
'72': 565718,
'73': 418949,
'74': 746994,
'75': 2249975,
'76': 1251282,
'77': 1338427,
'78': 1413635,
'79': 370939,
'80': 571211,
'81': 377675,
'82': 244545,
'83': 1012735,
'84': 546630,
'85': 641657,
'86': 428447,
'87': 376058,
'88': 378830,
'89': 342463,
'90': 143348,
'91': 1225191,
'92': 1581628,
'93': 1529928,
'94': 1333702,
'95': 1180365,
'971': 404635,
'972': 392291,
'973': 237549,
'974': 828581,
'976': 212645
}))
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