=============== 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 `_) .. 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 `_ 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 })) Next: `Styles `_