Kline图
from pyecharts import options as opts from pyecharts.charts import Kline data = [ [2320.26, 2320.26, 2287.3, 2362.94], [2300, 2291.3, 2288.26, 2308.38], [2295.35, 2346.5, 2295.35, 2345.92], [2347.22, 2358.98, 2337.35, 2363.8], [2360.75, 2382.48, 2347.89, 2383.76], [2383.43, 2385.42, 2371.23, 2391.82], [2377.41, 2419.02, 2369.57, 2421.15], [2425.92, 2428.15, 2417.58, 2440.38], [2411, 2433.13, 2403.3, 2437.42], [2432.68, 2334.48, 2427.7, 2441.73], [2430.69, 2418.53, 2394.22, 2433.89], [2416.62, 2432.4, 2414.4, 2443.03], [2441.91, 2421.56, 2418.43, 2444.8], [2420.26, 2382.91, 2373.53, 2427.07], [2383.49, 2397.18, 2370.61, 2397.94], [2378.82, 2325.95, 2309.17, 2378.82], [2322.94, 2314.16, 2308.76, 2330.88], [2320.62, 2325.82, 2315.01, 2338.78], [2313.74, 2293.34, 2289.89, 2340.71], [2297.77, 2313.22, 2292.03, 2324.63], [2322.32, 2365.59, 2308.92, 2366.16], [2364.54, 2359.51, 2330.86, 2369.65], [2332.08, 2273.4, 2259.25, 2333.54], [2274.81, 2326.31, 2270.1, 2328.14], [2333.61, 2347.18, 2321.6, 2351.44], [2340.44, 2324.29, 2304.27, 2352.02], [2326.42, 2318.61, 2314.59, 2333.67], [2314.68, 2310.59, 2296.58, 2320.96], [2309.16, 2286.6, 2264.83, 2333.29], [2282.17, 2263.97, 2253.25, 2286.33], [2255.77, 2270.28, 2253.31, 2276.22], ] kline = Kline() kline.add_xaxis([f'2030/10/{i+1}' for i in range(len(data))]) kline.add_yaxis('',data, itemstyle_opts=opts.ItemStyleOpts(color='red',color0='green') ) kline.set_global_opts(title_opts=opts.TitleOpts(title='Kline的基本图')) kline.render_notebook()
funne图
from pyecharts.charts import Funnel from pyecharts.faker import Faker from pyecharts import options as opts funnel = Funnel() funnel.add('',[list(z) for z in zip(Faker.choose(),Faker.values())]) funnel.set_global_opts(title_opts=opts.TitleOpts(title='漏斗图')) funnel.render_notebook()
WordCloud图
from pyecharts.charts import WordCloud from pyecharts import options as opts wc = WordCloud() data = [ ['ThinkPad','15.7'], ['联想','14.5'], ['惠普','14.4'], ['华为','11.7'], ['华硕','8.2'], ['戴尔','8.1'], ['Acer宏碁','4.5'], ['苹果','3.5'], ['神舟','3.2'], ['ROG','3.1'], ['机械革命','2.4'], ['msi微星','1.8'], ['外星人','1.5'], ['微软','1.4'], ['荣耀','1.2'], ['雷神','1'], ['三星','0.7'], ['红米','0.6'], ['机械师','0.5'], ['小米','0.5'], ['炫龙','0.4'], ['雷蛇','0.2'], ['壹号本','0.1'], ['a豆','0.1'], ['未来人类','0.1'], ['技嘉','0.1'], ['中柏','0.1'], ['VAIO','0.1'], ['火影','0.1'], ['LG','0.1'], ['松下','0'], ['麦本本','0'], ['吾空','0'], ['长城','0'], ['GPD','0'], ['清华同方','0'], ['神基','0'], ['爱尔轩','0'], ['酷比魔方','0'], ['海尔','0'], ['谷歌','0'], ['台电','0'], ['iru','0'], ['攀升IPASON','0'], ['NEC','0'], ['夏普','0'], ['京东京造','0'], ['锡恩帝','0'], ['皓勤','0'], ['Intel','0'], ] wc.add('',data) wc.set_global_opts(title_opts=opts.TitleOpts('词云图')) wc.render_notebook()
Radar图
from pyecharts.charts import Radar from pyecharts import options as opts radar = Radar() data1 = [[8,7,8,8,9,7]] data2 = [[9,5,7,8,6,7]] radar.add_schema( schema=[ opts.RadarIndicatorItem(name='拍照',max_=10), opts.RadarIndicatorItem(name='外观',max_=10), opts.RadarIndicatorItem(name='性能',max_=10), opts.RadarIndicatorItem(name='屏幕',max_=10), opts.RadarIndicatorItem(name='内存',max_=10), opts.RadarIndicatorItem(name='系统',max_=10)] ) radar.add('OPPO',data1) radar.add('华为',data2) radar.set_series_opts(label_opts=opts.LabelOpts(is_show=False)) radar.set_global_opts(title_opts=opts.TitleOpts('雷达图')) radar.render_notebook()
Map图
from pyecharts.charts import Map from pyecharts import options as opts map = Map() map.add('',[['河北',10],['四川',20]],is_map_symbol_show=False) map.set_global_opts( title_opts=opts.TitleOpts('地图'), visualmap_opts=opts.VisualMapOpts() ) map.render_notebook()
from pyecharts.charts import Map from pyecharts import options as opts map = Map() map.add('', [['西安市',10],['安康市',20]], maptype='陕西', is_map_symbol_show=False, label_opts=opts.LabelOpts(is_show=True)) map.set_global_opts( title_opts=opts.TitleOpts('陕西省'), visualmap_opts=opts.VisualMapOpts() ) map.render_notebook()
组合图
from pyecharts.charts import Bar,Line from pyecharts import options as opts x = ['1月', '2月', '3月', '4月', '5月', '6月', '7月', '8月', '9月', '10月', '11月', '12月'] bar =Bar() bar.add_xaxis(x) bar.add_yaxis('蒸发量', [2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3], label_opts=opts.LabelOpts(is_show=False)) bar.add_yaxis('降水量', [2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3], label_opts=opts.LabelOpts(is_show=False)) bar.set_global_opts( title_opts=opts.TitleOpts('混合图'), tooltip_opts=opts.TooltipOpts(is_show=True,trigger='axis',axis_pointer_type='cross'), xaxis_opts= opts.AxisOpts(type_='category',axispointer_opts=opts.AxisPointerOpts(is_show=True,type_='shadow')) ) bar.extend_axis(yaxis=opts.AxisOpts( name='温度',min_=0,max_= 25, interval = 5, axislabel_opts = opts.LabelOpts(formatter='{value} °C') )) line = Line() line.add_xaxis(x) line.add_yaxis('平均温度', [2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2], yaxis_index=1, label_opts=opts.LabelOpts(is_show=False) ) bar.overlap(line) # 合并图 bar.render_notebook()
Timeline图
from pyecharts.charts import Bar,Timeline from pyecharts import options as opts from pyecharts.faker import Faker x = Faker.choose() tl = Timeline() for i in range(2000,2006): bar = Bar() bar.add_xaxis(x) bar.add_yaxis('A',Faker.values()) bar.add_yaxis('B',Faker.values()) bar.set_global_opts(title_opts=opts.TitleOpts(f'{i}年的数据表')) tl.add(bar,f'{i}年') tl.render_notebook()
