Python 利用 pyecharts 做数据分析绘图

    from pyecharts import Bar
    bar = Bar("柱状图")
    bar.add("服装", ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"], [5, 20, 36, 10, 75, 90])
    bar.add("鞋子", ["的萨芬", "士大夫", "暗示法", "农安", "额", "全球"], [5, 20, 36, 10, 75, 90])
    # bar.print_echarts_options()

饼状图

    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('饼状图','一年的降水量与蒸发量')
    pie.add('降水量', columns, data1, center=[25,50], is_legend_show=False)
    pie.add('蒸发量', columns, data2, center=[75,50], is_legend_show=False, is_label_show=True)

折线图

    from pyecharts import Line
    line = Line('折线图')
    line.add("降水量", columns, data1, is_label_show=True)
    line.add("蒸发量", columns, data2, is_label_show=True)

仪表盘

    from pyecharts import Funnel, Gauge, Graph
    gauge = Gauge('仪表盘')
    gauge.add('业务指标', '完成率', 60)
    # gauge.show_config()

词云

    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])