20个精美图表，教你玩转 Pyecharts 可视化

(    Pie()    .add(        series_name="访问来源",        data_pair=[list(z) for z in zip(Faker.choose(), Faker.values())],        radius=[0, "30%"],        label_opts=opts.LabelOpts(position="inner"),    )    .add(        series_name="访问来源",        radius=["40%", "55%"],        data_pair=[list(z) for z in zip(Faker.choose(), Faker.values())],    )    .set_global_opts(legend_opts=opts.LegendOpts(pos_left="15%", orient="vertical", pos_top="10%"))    .set_series_opts(        tooltip_opts=opts.TooltipOpts(            trigger="item", formatter="{a} <br/>{b}: {c} ({d}%)")    )    .render("nested_pies.html"))

c = (    Pie()    .add(        "",        [list(z) for z in zip(Faker.choose(), Faker.values())],        radius=["50%", "75%"],    )    .set_global_opts(        title_opts=opts.TitleOpts(title="Pie-radius示例"),        legend_opts=opts.LegendOpts(orient="vertical", pos_top="15%", pos_left="2%"),    )    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))    .render("pie_radius_test.html"))

c = (    Pie()    .add(        "",        [list(z) for z in zip(Faker.choose(), Faker.values())],        radius=["40%", "75%"],        center=["35%", "50%"],        rosetype="radius",        label_opts=opts.LabelOpts(is_show=False),    )    .set_global_opts(title_opts=opts.TitleOpts(title="饼图-玫瑰图示例"))    .render("pie_rosetype_test.html"))

c = (    Pie()    .add(        "",        [list(z) for z in zip(["古装", "其他"], [35, 65])],        center=["20%", "30%"],        radius=[50, 80],        label_opts=new_label_opts(),    )    .add(        "",        [list(z) for z in zip(["动作", "其他"], [24, 76])],        center=["55%", "30%"],        radius=[50, 80],        label_opts=new_label_opts(),    )    .add(        "",        [list(z) for z in zip(["爱情", "其他"], [10, 90])],        center=["20%", "70%"],        radius=[50, 80],        label_opts=new_label_opts(),    )    .add(        "",        [list(z) for z in zip(["惊悚", "其他"], [20, 80])],        center=["55%", "70%"],        radius=[50, 80],        label_opts=new_label_opts(),    )    .set_global_opts(        title_opts=opts.TitleOpts(title="Pie-多饼图基本示例"),        legend_opts=opts.LegendOpts(            type_="scroll", pos_top="30%", pos_left="70%", orient="vertical"        ),    )    .render("mutiple_pie.html"))

c = (    Radar()    .add_schema(        schema=[            opts.RadarIndicatorItem(name="A", max_=8500),            opts.RadarIndicatorItem(name="B", max_=15000),            opts.RadarIndicatorItem(name="C", max_=35000),            opts.RadarIndicatorItem(name="D", max_=38000),            opts.RadarIndicatorItem(name="E", max_=55000),            opts.RadarIndicatorItem(name="F", max_=25000),        ]    )    .add("计划设想", v1)    .add("实际情况", v2)    .set_series_opts(label_opts=opts.LabelOpts(is_show=False))    .set_global_opts(        legend_opts=opts.LegendOpts(),        title_opts=opts.TitleOpts(title="雷达图示例"),    )    .render("radar_test.html"))

(    Scatter()    .add_xaxis(xaxis_data=Faker.choose())    .add_yaxis(        series_name="",        y_axis=Faker.values(),        symbol_size=30,        label_opts=opts.LabelOpts(is_show=True),    )    .set_series_opts()    .set_global_opts(        yaxis_opts=opts.AxisOpts(            axistick_opts=opts.AxisTickOpts(is_show=True),            splitline_opts=opts.SplitLineOpts(is_show=True),        ),        tooltip_opts=opts.TooltipOpts(is_show=True),    )    .render("basic_scatter_chart.html"))

c = (    Scatter()    .add_xaxis(Faker.choose())    .add_yaxis("商家1", Faker.values(), symbol_size=30,               label_opts=opts.LabelOpts(is_show=True),)    .set_global_opts(        title_opts=opts.TitleOpts(title="散点图-颜色分段"),        visualmap_opts=opts.VisualMapOpts(max_=150),    )    .render("scatter_visualmap_color_test.html"))

c = (    Scatter()    .add_xaxis(Faker.choose())    .add_yaxis("商家1", Faker.values())    .add_yaxis("商家2", Faker.values())    .set_global_opts(        title_opts=opts.TitleOpts(title="散点图-点状大小不同"),        visualmap_opts=opts.VisualMapOpts(type_="size", max_=150, min_=20),    )    .render("scatter_visualmap_size_test.html"))

c = (    PictorialBar()    .add_xaxis(Faker.choose())    .add_yaxis(        "",        Faker.values(),        label_opts=opts.LabelOpts(is_show=True),        symbol_size=20,        symbol_repeat="fixed",        symbol_offset=[0, 0],        is_symbol_clip=True,        symbol=SymbolType.ROUND_RECT,    )    .reversal_axis()    .set_global_opts(        title_opts=opts.TitleOpts(title="象形柱状图示例"),        xaxis_opts=opts.AxisOpts(is_show=True),        yaxis_opts=opts.AxisOpts(            axistick_opts=opts.AxisTickOpts(is_show=True),            axisline_opts=opts.AxisLineOpts(                linestyle_opts=opts.LineStyleOpts(opacity=0)            ),        ),    )    .render("pictorialbar_test.html"))

c = (    Kline()    .add_xaxis(["2021/5/{}".format(i + 1) for i in range(31)])    .add_yaxis("K线图", data)    .set_global_opts(        xaxis_opts=opts.AxisOpts(is_scale=True),        yaxis_opts=opts.AxisOpts(            is_scale=True,            splitarea_opts=opts.SplitAreaOpts(                is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)            ),        ),        datazoom_opts=[opts.DataZoomOpts()],        title_opts=opts.TitleOpts(title="k线图+时间轴示例"),    )    .render("k线图+时间轴_test.html"))

c = (    Kline()    .add_xaxis(["2021/5/{}".format(i + 1) for i in range(31)])    .add_yaxis("K线图", data)    .set_global_opts(        xaxis_opts=opts.AxisOpts(is_scale=True),        yaxis_opts=opts.AxisOpts(            is_scale=True,            splitarea_opts=opts.SplitAreaOpts(                is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)            ),        ),        datazoom_opts=[opts.DataZoomOpts(type_="inside")],        title_opts=opts.TitleOpts(title="K线图+时间轴示例"),    )    .render("K线图+时间轴示例_inside.html"))

c = (    Map()    .add("商家A", [list(z) for z in zip(["杭州市", "宁波市", "舟山市", "台州市", "温州市", "丽水市",                                       "金华市", "衢州市", "绍兴市", "湖州市", "嘉兴市"],                                      Faker.values())], "浙江")    .set_global_opts(        title_opts=opts.TitleOpts(title="Map浙江地图-Test"), visualmap_opts=opts.VisualMapOpts()    )    .render("map_zhejiang.html"))

c = (    Geo()    .add_schema(maptype="浙江")    .add(        "geo",        [list(z) for z in zip(["杭州市", "宁波市", "舟山市", "台州市", "温州市", "丽水市",                               "金华市", "衢州市", "绍兴市", "湖州市", "嘉兴市"], Faker.values())],        type_=ChartType.HEATMAP,    )    .set_series_opts(label_opts=opts.LabelOpts(is_show=True))    .set_global_opts(        visualmap_opts=opts.VisualMapOpts(), title_opts=opts.TitleOpts(title="Geo-浙江地图")    )    .render("geo_zhejiang.html"))

c = (    Map()    .add("商家1", [list(z) for z in zip(Faker.provinces, Faker.values())], "china")    .set_global_opts(        title_opts=opts.TitleOpts(title="地图 + 颜色分段（连续型）"),        visualmap_opts=opts.VisualMapOpts(max_=150),    )    .render("map_visual_test.html"))

c = (    Map()    .add("商家1", [list(z) for z in zip(Faker.country, Faker.values())], "world")    .set_series_opts(label_opts=opts.LabelOpts(is_show=False))    .set_global_opts(        title_opts=opts.TitleOpts(title="Pyecharts-世界地图"),        visualmap_opts=opts.VisualMapOpts(max_=200),    )    .render("map_world_test.html"))

c = (    Geo()    .add_schema(maptype="china")    .add(        "geo",        [list(z) for z in zip(Faker.provinces, Faker.values())],        type_=ChartType.EFFECT_SCATTER,    )    .set_series_opts(label_opts=opts.LabelOpts(is_show=False))    .set_global_opts(title_opts=opts.TitleOpts(title="地图+涟漪散点图示例"))    .render("geo_effectscatter_test.html"))

c = (    Geo()    .add_schema(        maptype="china",        itemstyle_opts=opts.ItemStyleOpts(color="#323c48", border_color="#111"),    )    .add(        "",        [list(z) for z in zip(Faker.provinces, Faker.values())],        type_=ChartType.EFFECT_SCATTER,        color="white",    )    .add(        "geo",        [("宁波", "南京"), ("宁波", "北京"), ("宁波", "兰州"), ("宁波", "拉萨"), ("宁波", "银川"), ("宁波", "武汉")],        type_=ChartType.LINES,        effect_opts=opts.EffectOpts(            symbol=SymbolType.ARROW, symbol_size=6, color="blue"        ),        linestyle_opts=opts.LineStyleOpts(curve=0.2),    )    .set_series_opts(label_opts=opts.LabelOpts(is_show=False))    .set_global_opts(title_opts=opts.TitleOpts(title="Geo-Lines-background"))    .render("geo_lines_background_test.html"))

nodes = [    opts.GraphNode(name="结点A", symbol_size=10),    opts.GraphNode(name="结点B", symbol_size=30),    opts.GraphNode(name="结点C", symbol_size=20),    opts.GraphNode(name="结点D", symbol_size=50),    opts.GraphNode(name="结点E", symbol_size=70),]links = [    opts.GraphLink(source="结点A", target="结点B"),    opts.GraphLink(source="结点B", target="结点C"),    opts.GraphLink(source="结点C", target="结点D"),    opts.GraphLink(source="结点D", target="结点E"),    opts.GraphLink(source="结点E", target="结点A"),]c = (    Graph()    .add("", nodes, links, repulsion=2000)    .set_global_opts(title_opts=opts.TitleOpts(title="关系图"))    .render("graph_test1.html"))

c = (    Bar(init_opts=opts.InitOpts(width='900px', height='600px'))    .add_xaxis(Faker.choose())    .add_yaxis("商家A", Faker.values())    .add_yaxis("商家B", Faker.values())    .set_global_opts(        title_opts=opts.TitleOpts(title=""),        graphic_opts=graphics_lst,    ))c.render("watermark.html")

attr = Faker.choose()tl = Timeline()for i in range(2015, 2022):    pie = (        Pie()        .add(            "商家A",            [list(z) for z in zip(attr, Faker.values())],            center=["50%", "50%"], radius=["40%", "60%"],        )        .set_global_opts(title_opts=opts.TitleOpts("某商店{}年营业额".format(i)))    )    tl.add(pie, "{}年".format(i))tl.render("timeline_pie_test.html")

tl = Timeline()for i in range(2015, 2022):    bar = (        Bar()        .add_xaxis(Faker.choose())        .add_yaxis("商家1", Faker.values(), label_opts=opts.LabelOpts(position="right"))        .add_yaxis("商家2", Faker.values(), label_opts=opts.LabelOpts(position="right"))        .reversal_axis()        .set_global_opts(            title_opts=opts.TitleOpts("时间轴 + 横向柱状图 (时间: {} 年)".format(i))        )    )    tl.add(bar, "{}年".format(i))tl.render("timeline_bar_reversal_test.html")

tl = Timeline()for i in range(2015, 2022):    map0 = (        Map()        .add("商家1", [list(z) for z in zip(Faker.provinces, Faker.values())], "china")        .set_global_opts(            title_opts=opts.TitleOpts(title="{}年数据".format(i)),            visualmap_opts=opts.VisualMapOpts(max_=200),        )    )    tl.add(map0, "{}年".format(i))tl.render("timeline_map.html")

c = (    Bar()    .add_xaxis(Faker.choose())    .add_yaxis("商家1", Faker.values())    .add_yaxis("商家2", Faker.values())    .set_global_opts(title_opts=opts.TitleOpts(title="直方图 + 标识特殊值（指定类型）"))    .set_series_opts(        label_opts=opts.LabelOpts(is_show=False),        markpoint_opts=opts.MarkPointOpts(            data=[                opts.MarkPointItem(type_="max", name="最大值"),                opts.MarkPointItem(type_="min", name="最小值"),                opts.MarkPointItem(type_="average", name="平均值"),            ]        ),    )    .render("bar_markpoint_test.html"))

c = (    Bar()    .add_xaxis(Faker.choose())    .add_yaxis("商家1", Faker.values(), category_gap="50%")    .set_series_opts(        itemstyle_opts={            "normal": {                "color": JsCode(                    """new echarts.graphic.LinearGradient(0, 0, 0, 1, [{                offset: 0,                color: 'rgba(0, 244, 255, 1)'            }, {                offset: 1,                color: 'rgba(0, 77, 167, 1)'            }], false)"""                ),                "barBorderRadius": [50, 50, 50, 50],                "shadowColor": "rgb(0, 160, 221)",            }        }    )    .set_global_opts(title_opts=opts.TitleOpts(title="圆角直方图-渐变圆柱示例"))    .render("bar_border_test.html"))