from pyecharts import Pie, Bar, Gauge, EffectScatter, WordCloud, Map, Grid, Line, Timeline

 import random

 value = [120, 110]

 attr = [u'河南', u'浙江']

 map = Map(u'Map 结合 VisualMap 示例', width=1200, height=600)

 map.use_theme('dark')

 map.add('', attr, value, maptype=u'china', is_visualmap=True, visual_text_color='#000')

 map.render('map.html')

 attr = ['衬衫', '羊毛衫', '雪纺衫', '裤子', '高跟鞋', '袜子']

 v1 = [5, 20, 36, 10, 75, 90]

 v2 = [10, 25, 8, 60, 20, 80]

 bar = Bar('柱状图数据堆叠示例')

 bar.add('商家A', attr, v1, mark_point=['average'], is_stack=True)

 bar.add('商家B', attr, v2, mark_point=['min', 'max'], is_stack=True)

 bar.render('bar.html')

 attr = ['{}天'.format(i) for i in range(30)]

 v1 = [random.randint(1, 30) for _ in range(30)]

 bar = Bar('Bar - datazoom - slider示例')

 bar.use_theme('dark')

 bar.add('', attr, v1, is_label_show=True, is_datazoom_show=True, is_more_utils=True)

 bar.render('bar_slider.html')

 # 上面可以通过下面一句链式调用

 # (Bar().add().add().render())

 gauge = Gauge('仪表盘示例')

 gauge.add('业务指标', '完成率', 66.66)

 gauge.render('gauge.html')

 v1 = [10, 20, 30, 40, 50, 60]

 v2 = [25, 20, 15, 10, 60, 33]

 es = EffectScatter('动态散点图示例')

 es.add('effectScatter', v1, v2)

 es.render('effectScatter.html')

 name = [u'网络', u'数据分析.txt', u'hadoop', u'flask']

 value = [10000, 6000, 4000, 3000]

 wd = WordCloud(width=1300, height=620)

 wd.add('', name, value, word_size_range=(20, 100))

 wd.render('wordcloud.html')

 attr = ['衬衫', '羊毛衫', '雪纺衫', '裤子', '高 跟鞋', '袜子']

 v1 = [11, 12, 13, 10, 10, 10]

 pie = Pie('饼图示例')

 # pie.use_theme('dark')

 pie.add('服装', attr, v1, is_label_show=True)

 pie.render('pie.html')

 attr = ['衬衫', '羊毛衫', '雪纺衫', '裤子', '高 跟鞋', '袜子']

 v1 = [5, 20, 36, 10, 75, 90]

 v2 = [10, 25, 8, 60, 20, 80]

 bar = Bar('柱状图示例', height=720)

 bar.add('商家A', attr, v1, is_stack=True)

 bar.add('商家B', attr, v2, is_stack=True)

 line = Line('折线图示例', title_top='50%')

 attr = ['周一', '周二', '周三', '周四', '周五', '周六', '周日']

 line.add('最高气温',

          attr,

          [11, 11, 15, 13, 12, 13, 10],

          mark_point=['max', 'min'],

          mark_line=['average'],

          )

 line.add('最低气温',

          attr,

          [1, -2, 2, 5, 3, 2, 0],

          mark_point=['max', 'min'],

          mark_line=['average'],

          legend_top='50%'

          )

 grid = Grid()

 grid.add(bar, grid_bottom='60%')

 grid.add(line, grid_top='60%')

 grid.render('grid.html')

 attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]

 pie_1 = Pie("2012 年销量比例", "数据纯属虚构")

 pie_1.add("秋季", attr, [random.randint(10, 100) for _ in range(6)],

           is_label_show=True, radius=[30, 55], rosetype='radius')

 pie_2 = Pie("2013 年销量比例", "数据纯属虚构")

 pie_2.add("秋季", attr, [random.randint(10, 100) for _ in range(6)],

           is_label_show=True, radius=[30, 55], rosetype='radius')

 pie_3 = Pie("2014 年销量比例", "数据纯属虚构")

 pie_3.add("秋季", attr, [random.randint(10, 100) for _ in range(6)],

           is_label_show=True, radius=[30, 55], rosetype='radius')

 pie_4 = Pie("2015 年销量比例", "数据纯属虚构")

 pie_4.add("秋季", attr, [random.randint(10, 100) for _ in range(6)],

           is_label_show=True, radius=[30, 55], rosetype='radius')

 pie_5 = Pie("2016 年销量比例", "数据纯属虚构")

 pie_5.add("秋季", attr, [random.randint(10, 100) for _ in range(6)],

           is_label_show=True, radius=[30, 55], rosetype='radius')

 timeline = Timeline(is_auto_play=True, timeline_bottom=0)

 timeline.use_theme('dark')

 timeline.add(pie_1, '2012 年')

 timeline.add(pie_2, '2013 年')

 timeline.add(pie_3, '2014 年')

 timeline.add(pie_4, '2015 年')

 timeline.add(pie_5, '2016 年')

 timeline.render('timeline.html')