本文共 23684 字,大约阅读时间需要 78 分钟。
pip install pygal -i https://pypi.tuna.tsinghua.edu.cn/simple
使用的编辑器是 Pycharm 工具软件,各位可以参考一下,下载完并且安装完Pycharn后新建项目新建 文件
简单的 python 图表
import pygalpygal.Bar()(1, 3, 3, 7)(1, 6, 6, 4).render()
生成 svg 图表(svg 文件查看的时候请用浏览器打开查看哟!!!)。
pygal.Bar()(1, 3, 3, 7)(1, 6, 6, 4).render_to_file("simple.svg")
由于markdown不支持 svg 格式,只好用截图代替
制作多系列图标
import pygalbar_chart = pygal.Bar()bar_chart.add('Fibonacci', [0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55])bar_chart.add('Padovan', [1, 1, 1, 2, 2, 3, 4, 5, 7, 9, 12])bar_chart.render_to_file("mul-graph.svg")
堆叠图表 StackedBar
import pygalbar_chart = pygal.StackedBar()bar_chart.add('Fibonacci', [0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55])bar_chart.add('Padovan', [1, 1, 1, 2, 2, 3, 4, 5, 7, 9, 12])bar_chart.render_to_file("StackedBar.svg")
将上面的图表水平 HorizontalStackedBar
import pygalbar_chart = pygal.HorizontalStackedBar()bar_chart.add('Fibonacci', [0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55])bar_chart.add('Padovan', [1, 1, 1, 2, 2, 3, 4, 5, 7, 9, 12])bar_chart.render_to_file("HorizontalStackedBar.svg")
添加标签
import pygalbar_chart = pygal.HorizontalStackedBar()bar_chart.title = "Remarquable sequences"bar_chart.x_labels = map(str, range(11))bar_chart.add('Fibonacci', [0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55])bar_chart.add('Padovan', [1, 1, 1, 2, 2, 3, 4, 5, 7, 9, 12])bar_chart.render_to_file("HorizontalStackedBar-add-labels.svg")
上面只介绍了 Bar,下面就介绍 Pygal 各种图表类型
基本的简单线形图
import pygalline_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])line_chart.render_to_file("line-basic.svg")
相同的图形但水平,范围为 0-100。
import pygalline_chart = pygal.HorizontalLine()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])line_chart.range = [0, 100]line_chart.render_to_file("line-horizontal-line.svg")
相同的图形但具有堆叠值和填充渲染
import pygal# fill参数是指是否填充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])line_chart.render_to_file("line-stacked.svg")
对于与时间相关的图,只需格式化标签或使用xy图表的一种变体
import pygalfrom datetime import datetime# x_label_rotation=20是指x轴标签右旋转20度,可负数,负数向左旋转date_chart = pygal.Line(x_label_rotation=-20)date_chart.x_labels = map(lambda d: d.strftime('%Y-%m-%d'), [ datetime(2013, 1, 2), datetime(2013, 1, 12), datetime(2013, 2, 2), datetime(2013, 2, 22)])date_chart.add("Visits", [300, 412, 823, 672])date_chart.render_to_file("line-time.svg")
基本的简单条形图
import pygalline_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])line_chart.render_to_file("bar-basic.svg")
相同的图形但具有堆叠值
import pygalline_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])line_chart.render_to_file("bar-stacked.svg")
水平条形图
import pygalline_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)line_chart.render_to_file("bar-horizontal.svg")
直方图是特殊条形,它为条形图取3个值:纵坐标高度,横坐标开始和横坐标结束。
import pygalhist = pygal.Histogram()hist.add('Wide bars', [(5, 0, 10), (4, 5, 13), (2, 0, 15)])hist.add('Narrow bars', [(10, 1, 2), (12, 4, 4.5), (8, 11, 13)])hist.render_to_file("histogram-basic.svg")
基本XY线,绘制余弦函数
import pygalfrom math import cosxy_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)])xy_chart.render_to_file("xy-basic.svg")
禁用点和点之间的连线而获得散点图
import pygal# stroke参数是指是否禁用连线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)])xy_chart.render_to_file("xy-scatter-plot.svg")
import pygalfrom datetime import datetime# truncate_label=-1是指显示到最后一个元素# x_value_formatter指X轴的值的格式化datetimeline = pygal.DateTimeLine( x_label_rotation=35, truncate_label=-1, x_value_formatter=lambda dt: dt.strftime('%d, %b %Y at %I:%M:%S %p'))datetimeline.add("Serie", [ (datetime(2013, 1, 2, 12, 0), 300), (datetime(2013, 1, 12, 14, 30, 45), 412), (datetime(2013, 2, 2, 6), 823), (datetime(2013, 2, 22, 9, 45), 672)])datetimeline.render_to_file("dates-datetime.svg")
import pygalfrom datetime import datedateline = pygal.DateLine(x_label_rotation=25)dateline.x_labels = [ date(2013, 1, 1), date(2013, 7, 1), date(2014, 1, 1), date(2014, 7, 1), date(2015, 1, 1), date(2015, 7, 1)]dateline.add("Serie", [ (date(2013, 1, 2), 213), (date(2013, 8, 2), 281), (date(2014, 12, 7), 198), (date(2015, 3, 21), 120)])dateline.render_to_file("dates-date.svg")
import pygalfrom datetime import timedateline = pygal.TimeLine(x_label_rotation=25)dateline.add("Serie", [ (time(), 0), (time(6), 5), (time(8, 30), 12), (time(11, 59, 59), 4), (time(18), 10), (time(23, 30), -1),])dateline.render_to_file("dates-time.svg")
import pygalfrom datetime import timedeltadateline = pygal.TimeDeltaLine(x_label_rotation=25)dateline.add("Serie", [ (timedelta(), 0), (timedelta(seconds=6), 5), (timedelta(minutes=11, seconds=59), 4), (timedelta(days=3, microseconds=30), 12), (timedelta(weeks=1), 10),])dateline.render_to_file("dates-timedelta.svg")
简单的饼图
import pygalpie_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)pie_chart.render_to_file("pie-basic.svg")
相同的饼图,但分为子类别
import pygalpie_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])pie_chart.render_to_file("pie-multi-series.svg")
可以指定内半径来获得甜甜圈
import pygal# inner_radius内圆半径0和1之间pie_chart = pygal.Pie(inner_radius=.5)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)pie_chart.render_to_file("pie-donut.svg")
import pygal# half_pie参数是指是否为半圆pie_chart = pygal.Pie(half_pie=True)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)pie_chart.render_to_file("pie-half.svg")
简单的 Kiviat 图
import pygalradar_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])radar_chart.render_to_file("radar-basic.svg")# 或者下面这种也可以import pygalradar_chart = pygal.Radar(title='V8 benchmark results', width=600, height=500)radar_chart.title = 'V8 benchmark results'radar_chart.width = 600radar_chart.height = 500radar_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])radar_chart.render_to_file("radar-basic.svg")
import pygalbox_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])box_plot.render_to_file("box-extremes.svg")
1.5 interquartile range
import pygalbox_plot = pygal.Box(box_mode="1.5IQR")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])box_plot.render_to_file("box-interquartile.svg")
import pygaldot_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])dot_chart.render_to_file('dot-basic.svg')
支持负数
import pygaldot_chart = pygal.Dot(x_label_rotation=30)dot_chart.add('Normal', [10, 50, 76, 80, 25])dot_chart.add('With negatives', [0, -34, -29, 39, -75])dot_chart.render_to_file('dot-negative.svg')
漏斗图
import pygalfunnel_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])funnel_chart.render_to_file('funnel-basic.svg')
import pygalgauge = pygal.SolidGauge(inner_radius=0.70)# 百分格式percent_formatter = lambda x: '{:.10g}%'.format(x)# 美元格式dollar_formatter = lambda x: '{:.10g}$'.format(x)gauge.value_formatter = percent_formattergauge.add('Series 1', [{'value': 225000, 'max_value': 1275000}], formatter=dollar_formatter)gauge.add('Series 2', [{'value': 110, 'max_value': 100}])gauge.add('Series 3', [{'value': 3}])gauge.add( 'Series 4', [ {'value': 51, 'max_value': 100}, {'value': 12, 'max_value': 100}])gauge.add('Series 5', [{'value': 79, 'max_value': 100}])gauge.add('Series 6', 99)gauge.add('Series 7', [{'value': 100, 'max_value': 100}])gauge.render_to_file('solidgauge-normal.svg')
import pygalgauge = pygal.SolidGauge( half_pie=True, inner_radius=0.70, style=pygal.style.styles['default'](value_font_size=10))percent_formatter = lambda x: '{:.10g}%'.format(x)dollar_formatter = lambda x: '{:.10g}$'.format(x)gauge.value_formatter = percent_formattergauge.add('Series 1', [{'value': 225000, 'max_value': 1275000}], formatter=dollar_formatter)gauge.add('Series 2', [{'value': 110, 'max_value': 100}])gauge.add('Series 3', [{'value': 3}])gauge.add( 'Series 4', [ {'value': 51, 'max_value': 100}, {'value': 12, 'max_value': 100}])gauge.add('Series 5', [{'value': 79, 'max_value': 100}])gauge.add('Series 6', 99)gauge.add('Series 7', [{'value': 100, 'max_value': 100}])gauge.render_to_file('solidgauge-half.svg')
仪表图
import pygalgauge_chart = pygal.Gauge(human_readable=True)gauge_chart.title = 'DeltaBlue V8 benchmark results'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)gauge_chart.render_to_file('gauge-basic.svg')
人口金字塔
import pygalages = [(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)pyramid_chart.render_to_file('pyramid-basic.svg')
树形图
import pygaltreemap = pygal.Treemap()treemap.title = 'Binary TreeMap'treemap.add('A', [2, 1, 12, 4, 2, 1, 1, 3, 12, 3, 4, None, 9])treemap.add('B', [4, 2, 5, 10, 3, 4, 2, 7, 4, -10, None, 8, 3, 1])treemap.add('C', [3, 8, 3, 3, 5, 3, 3, 5, 4, 12])treemap.add('D', [23, 18])treemap.add('E', [1, 2, 1, 2, 3, 3, 1, 2, 3, 4, 3, 1, 2, 1, 1, 1, 1, 1])treemap.add('F', [31])treemap.add('G', [5, 9.3, 8.1, 12, 4, 3, 2])treemap.add('H', [12, 3, 3])treemap.render_to_file('treemap-basic.svg')
安装
pip install pygal_maps_world
Countries
import pygalworldmap_chart = pygal.maps.world.World()worldmap_chart.title = 'Some countries'worldmap_chart.add('C countries', ['cn', 'ca', 'ch', 'cg'])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'])worldmap_chart.render_to_file('world-map-countries.svg')
Continents
访问各大洲
import pygalsupra = pygal.maps.world.SupranationalWorld()supra.add('Asia', [('asia', 1)])supra.add('Europe', [('europe', 1)])supra.add('Africa', [('africa', 1)])supra.add('North america', [('north_america', 1)])supra.add('South america', [('south_america', 1)])supra.add('Oceania', [('oceania', 1)])supra.add('Antartica', [('antartica', 1)])supra.render_to_file('world-map-continents.svg')
国家代码列表
code | Country | code | Country |
ad | Andorra | la | Lao People’s Democratic Republic |
ae | United Arab Emirates | lb | Lebanon |
af | Afghanistan | li | Liechtenstein |
al | Albania | lk | Sri Lanka |
am | Armenia | lr | Liberia |
ao | Angola | ls | Lesotho |
aq | Antarctica | lt | Lithuania |
ar | Argentina | lu | Luxembourg |
at | Austria | lv | Latvia |
au | Australia | ly | Libyan Arab Jamahiriya |
az | Azerbaijan | ma | Morocco |
ba | Bosnia and Herzegovina | mc | Monaco |
bd | Bangladesh | md | Moldova, Republic of |
be | Belgium | me | Montenegro |
bf | Burkina Faso | mg | Madagascar |
bg | Bulgaria | mk | Macedonia, the former Yugoslav Republic of |
bh | Bahrain | ml | Mali |
bi | Burundi | mm | Myanmar |
bj | Benin | mn | Mongolia |
bn | Brunei Darussalam | mo | Macao |
bo | Bolivia, Plurinational State of | mr | Mauritania |
br | Brazil | mt | Malta |
bt | Bhutan | mu | Mauritius |
bw | Botswana | mv | Maldives |
by | Belarus | mw | Malawi |
bz | Belize | mx | Mexico |
ca | Canada | my | Malaysia |
cd | Congo, the Democratic Republic of the | mz | Mozambique |
cf | Central African Republic | na | Namibia |
cg | Congo | ne | Niger |
ch | Switzerland | ng | Nigeria |
ci | Cote d’Ivoire | ni | Nicaragua |
cl | Chile | nl | Netherlands |
cm | Cameroon | no | Norway |
cn | China | np | Nepal |
co | Colombia | nz | New Zealand |
cr | Costa Rica | om | Oman |
cu | Cuba | pa | Panama |
cv | Cape Verde | pe | Peru |
cy | Cyprus | pg | Papua New Guinea |
cz | Czech Republic | ph | Philippines |
de | Germany | pk | Pakistan |
dj | Djibouti | pl | Poland |
dk | Denmark | pr | Puerto Rico |
do | Dominican Republic | ps | Palestine, State of |
dz | Algeria | pt | Portugal |
ec | Ecuador | py | Paraguay |
ee | Estonia | re | Reunion |
eg | Egypt | ro | Romania |
eh | Western Sahara | rs | Serbia |
er | Eritrea | ru | Russian Federation |
es | Spain | rw | Rwanda |
et | Ethiopia | sa | Saudi Arabia |
fi | Finland | sc | Seychelles |
fr | France | sd | Sudan |
ga | Gabon | se | Sweden |
gb | United Kingdom | sg | Singapore |
ge | Georgia | sh | Saint Helena, Ascension and Tristan da Cunha |
gf | French Guiana | si | Slovenia |
gh | Ghana | sk | Slovakia |
gl | Greenland | sl | Sierra Leone |
gm | Gambia | sm | San Marino |
gn | Guinea | sn | Senegal |
gq | Equatorial Guinea | so | Somalia |
gr | Greece | sr | Suriname |
gt | Guatemala | st | Sao Tome and Principe |
gu | Guam | sv | El Salvador |
gw | Guinea-Bissau | sy | Syrian Arab Republic |
gy | Guyana | sz | Swaziland |
hk | Hong Kong | td | Chad |
hn | Honduras | tg | Togo |
hr | Croatia | th | Thailand |
ht | Haiti | tj | Tajikistan |
hu | Hungary | tl | Timor-Leste |
id | Indonesia | tm | Turkmenistan |
ie | Ireland | tn | Tunisia |
il | Israel | tr | Turkey |
in | India | tw | Taiwan (Republic of China) |
iq | Iraq | tz | Tanzania, United Republic of |
ir | Iran, Islamic Republic of | ua | Ukraine |
is | Iceland | ug | Uganda |
it | Italy | us | United States |
jm | Jamaica | uy | Uruguay |
jo | Jordan | uz | Uzbekistan |
jp | Japan | va | Holy See (Vatican City State) |
ke | Kenya | ve | Venezuela, Bolivarian Republic of |
kg | Kyrgyzstan | vn | Viet Nam |
kh | Cambodia | ye | Yemen |
kp | Korea, Democratic People’s Republic of | yt | Mayotte |
kr | Korea, Republic of | za | South Africa |
kw | Kuwait | zm | Zambia |
kz | Kazakhstan | zw | Zimbabwe |
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