柱狀圖

from pyecharts import Bar
bar = Bar("柱狀圖")
bar.add("服裝", ["襯衫", "羊毛衫", "雪紡衫", "褲子", "高跟鞋", "襪子"], [5, 20, 36, 10, 75, 90])
bar.add("鞋子", ["的薩芬", "士大夫", "暗示法", "農安", "額", "全球"], [5, 20, 36, 10, 75, 90])
# bar.print_echarts_options()

餅狀圖

from pyecharts import Pie
columns = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
data1 = [2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]
data2 = [2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]
pie = Pie('餅狀圖','一年的降水量與蒸發量')
pie.add('降水量', columns, data1, center=[25,50], is_legend_show=False)
pie.add('蒸發量', columns, data2, center=[75,50], is_legend_show=False, is_label_show=True)
 

折線圖

from pyecharts import Line
line = Line('折線圖')
line.add("降水量", columns, data1, is_label_show=True)
line.add("蒸發量", columns, data2, is_label_show=True)

儀表盤

from pyecharts import Funnel, Gauge, Graph
gauge = Gauge('儀表盤')
gauge.add('業務指標', '完成率', 60)
# gauge.show_config()

詞雲

from pyecharts import WordCloud
from scipy.misc import imread
name =['Sam S Club', 'Macys', 'Amy Schumer', 'Jurassic World', 'Charter Communications', 'Chick Fil A', 'Planet Fitness', 'Pitch Perfect', 'Express', 'Home', 'Johnny Depp', 'Lena Dunham', 'Lewis Hamilton', 'KXAN', 'Mary Ellen Mark', 'Farrah Abraham', 'Rita Ora', 'Serena Williams', 'NCAA baseball tournament', 'Point Break']
value =[10000, 6181, 4386, 4055, 2467, 2244, 1898, 1484, 1112, 965, 847, 582, 555, 550, 462, 366, 360, 282, 273, 265]
wordcloud = WordCloud(width=600, height=400)
wordcloud.add("", name, value, word_size_range=[20, 100])