【Python基础】惊叹，Pyecharts绘制饼图原来可以如此漂亮！

# 内部饼图inner_x_data = ["直达", "营销广告", "搜索引擎","产品"]inner_y_data = [335, 679, 548, 283]inner_data_pair = [list(z) for z in zip(inner_x_data, inner_y_data)]# [['直达', 335], ['营销广告', 679], ['搜索引擎', 1548], [‘产品’, 283]]

# 外部环形（嵌套）outer_x_data = ["搜索引擎", "邮件营销", "直达", "营销广告", "联盟广告", "视频广告", "产品", "百度", "谷歌","邮件营销", "联盟广告"]outer_y_data = [335, 135, 147, 102, 220, 310, 234, 135, 648, 251]outer_data_pair = [list(z) for z in zip(outer_x_data, outer_y_data)]

c = ( # 初始化 Pie(init_opts=opts.InitOpts( width="900px", # 设置图形大小 height="800px", theme=ThemeType.SHINE)) # 选择主题

# 内部饼图 .add( series_name="版本3.2.1", # 图形名称 center=["50%", "35%"], # 饼图位置 data_pair=inner_data_pair, # 系列数据项，格式为 [(key1, value1), (key2, value2)] radius=["25%", "40%"], # 饼图半径 数组的第一项是内半径，第二项是外半径 label_opts=opts.LabelOpts(position='inner'), # 标签设置在内部 )

# 外部嵌套环形图 .add( series_name="版本3.2.9", # 系列名称 center=["50%", "35%"], # 饼图位置 radius=["40%", "60%"], # 饼图半径 数组的第一项是内半径，第二项是外半径 data_pair=outer_data_pair, # 系列数据项，格式为 [(key1, value1), (key2, value2)]

# 标签配置项 label_opts=opts.LabelOpts( position="outside", formatter="{a|{a}}{abg|}\n{hr|}\n {b|{b}: }{c} {per|{d}%} ", background_color="#eee", border_color="#aaa", border_width=1, border_radius=4, rich={ "a": {"color": "#999", "lineHeight": 22, "align": "center"},

"abg": { "backgroundColor": "#e3e3e3", "width": "100%", "align": "right", "height": 22, "borderRadius": [4, 4, 0, 0], },

"hr": { "borderColor": "#aaa", "width": "100%", "borderWidth": 0.5, "height": 0, },

"b": {"fontSize": 16, "lineHeight": 33},

"per": { "color": "#eee", "backgroundColor": "#334455", "padding": [2, 4], "borderRadius": 2, }, }, ), )

# 全局配置项 .set_global_opts( xaxis_opts = opts.AxisOpts(is_show = False), #隐藏X轴刻度 yaxis_opts = opts.AxisOpts(is_show = False), #隐藏Y轴刻度 legend_opts = opts.LegendOpts(is_show = True), #隐藏图例 title_opts = opts.TitleOpts(title = None), #隐藏标题 )

# 系统配置项 .set_series_opts( tooltip_opts=opts.TooltipOpts( trigger="item", formatter="{a} {b}: {c} ({d}%)" ), label_opts=opts.LabelOpts(is_show=True) # 隐藏每个触角标签 ))

c.render_notebook()