八、平行坐标系图
示例代码：
from pyecharts import Parallel c_schema = [ {"dim": 0, "name": "data"}, {"dim": 1, "name": "AQI"}, {"dim": 2, "name": "PM2.5"}, {"dim": 3, "name": "PM10"}, {"dim": 4, "name": "CO"}, {"dim": 5, "name": "NO2"}, {"dim": 6, "name": "CO2"}, {"dim": 7, "name": "等级", "type": "category", "data": ['优', '良', '轻度污染', '中度污染', '重度污染', '严重污染']} ] data = [ [1, 91, 45, 125, 0.82, 34, 23, "良"], [2, 65, 27, 78, 0.86, 45, 29, "良"], [3, 83, 60, 84, 1.09, 73, 27, "良"], [4, 109, 81, 121, 1.28, 68, 51, "轻度污染"], [5, 106, 77, 114, 1.07, 55, 51, "轻度污染"], [6, 109, 81, 121, 1.28, 68, 51, "轻度污染"], [7, 106, 77, 114, 1.07, 55, 51, "轻度污染"], [8, 89, 65, 78, 0.86, 51, 26, "良"], [9, 53, 33, 47, 0.64, 50, 17, "良"], [10, 80, 55, 80, 1.01, 75, 24, "良"], [11, 117, 81, 124, 1.03, 45, 24, "轻度污染"], [12, 99, 71, 142, 1.1, 62, 42, "良"], [13, 95, 69, 130, 1.28, 74, 50, "良"], [14, 116, 87, 131, 1.47, 84, 40, "轻度污染"] ] parallel = Parallel("平行坐标系-用户自定义指示器") parallel.config(c_schema=c_schema) parallel.add("parallel", data) parallel.show_config() parallel.render('parallel.html')
展示图像：
九、极坐标系图
示例代码：
from pyecharts import Polar radius = ['周一', '周二', '周三', '周四', '周五', '周六', '周日'] polar = Polar("极坐标系-堆叠柱状图示例", width=1200, height=600) polar.add("A", [1, 2, 3, 4, 3, 5, 1], radius_data=radius, type='barRadius', is_stack=True) polar.add("B", [2, 4, 6, 1, 2, 3, 1], radius_data=radius, type='barRadius', is_stack=True) polar.add("C", [1, 2, 3, 4, 1, 2, 5], radius_data=radius, type='barRadius', is_stack=True) polar.show_config() polar.render('polar.html')
展示图像：
十、水球图
示例代码：
from pyecharts import Liquid liquid = Liquid("水球图") liquid.add("Liquid", [0.84]) #shape='diamond'可以设置形状为菱形，默认为圆形 liquid.show_config() liquid.render('liquid.html')
展示图像：
十一、漏斗图
示例代码：
from pyecharts import Funnel attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"] value = [20, 40, 60, 80, 100, 120] funnel = Funnel("漏斗图示例") funnel.add("商品", attr, value, is_label_show=True, label_pos="inside", label_text_color="#fff") funnel.render('funnel.html')
展示图像：
十二、热力图
示例代码：
# Geo（地理坐标系） from pyecharts import Geo keys = ['上海', '北京', '合肥', '哈尔滨', '广州', '成都', '无锡', '杭州', '武汉', '深圳', '西安', '郑州', '重庆', '长沙', '贵阳', '乌鲁木齐'] values = [4.07, 1.85, 4.38, 2.21, 3.53, 4.37, 1.38, 4.29, 4.1, 1.31, 3.92, 4.47, 2.40, 3.60, 1.2, 3.7] geo = Geo("全国主要城市空气质量热力图", "data from pm2.5", title_color="#fff",title_pos="left",width=1200,height=600,background_color='#404a59') geo.add("空气质量热力图", keys, values, visual_range=[0, 5], type='effectScatter',visual_text_color="#fff", symbol_size=15,is_visualmap=True, is_roam=True) # type有scatter, effectScatter, heatmap三种模式可选，可根据自己的需求选择对应的图表模式 geo.render(path="全国主要城市空气质量热力图.html")
展示图像：
十三、词云图
示例代码：
from pyecharts import WordCloud 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=1300, height=620) wordcloud.add("", name, value, word_size_range=[20, 100],shape='diamond') wordcloud.show_config() wordcloud.render('worldcloud.html')
展示图像：
十四、雷达图
示例代码：
from pyecharts import WordCloud 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=1300, height=620) wordcloud.add("", name, value, word_size_range=[20, 100],shape='diamond') wordcloud.show_config() wordcloud.render('worldcloud.html')
展示图像：
示例代码2：
from pyecharts import Radar value_bj = [ [55, 9, 56, 0.46, 18, 6, 1], [25, 11, 21, 0.65, 34, 9, 2], [56, 7, 63, 0.3, 14, 5, 3], [33, 7, 29, 0.33, 16, 6, 4]] value_sh = [ [91, 45, 125, 0.82, 34, 23, 1], [65, 27, 78, 0.86, 45, 29, 2], [83, 60, 84, 1.09, 73, 27, 3], [109, 81, 121, 1.28, 68, 51, 4]] c_schema= [{"name": "AQI", "max": 300, "min": 5}, {"name": "PM2.5", "max": 250, "min": 20}, {"name": "PM10", "max": 300, "min": 5}, {"name": "CO", "max": 5}, {"name": "NO2", "max": 200}, {"name": "SO2", "max": 100}] radar = Radar() radar.config(c_schema=c_schema, shape='circle') radar.add("北京", value_bj, item_color="#f9713c", symbol=None) radar.add("上海", value_sh, item_color="#b3e4a1", symbol=None) radar.show_config() radar.render('radar2.html')
展示图像2：
十五、饼图
普通饼图
示例代码：
from pyecharts import Pie attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"] v1 = [11, 12, 13, 10, 10, 10] pie = Pie("饼图示例") pie.add("", attr, v1, is_label_show=True) pie.show_config() pie.render('pie.html')
展示图像：
玫瑰饼图
示例代码：
from pyecharts import Pie attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"] v1 = [11, 12, 13, 10, 10, 10] v2 = [19, 21, 32, 20, 20, 33] pie = Pie("饼图-玫瑰图示例", title_pos='center', width=900) pie.add("商品A", attr, v1, center=[25, 50], is_random=True, radius=[30, 75], rosetype='radius') pie.add("商品B", attr, v2, center=[75, 50], is_random=True, radius=[30, 75], rosetype='area', is_legend_show=False, is_label_show=True) pie.show_config() pie.render('pie2.html')
展示图像：
十六、其他图
展示一个圆环组合图
示例代码：
from pyecharts import Pie pie = Pie('各类电影中"好片"所占的比例', "数据来着豆瓣", title_pos='center') pie.add("", ["剧情", ""], [25, 75], center=[10, 30], radius=[18, 24], label_pos='center', is_label_show=True, label_text_color=None, ) pie.add("", ["奇幻", ""], [24, 76], center=[30, 30], radius=[18, 24], label_pos='center', is_label_show=True, label_text_color=None, legend_pos='left') pie.add("", ["爱情", ""], [14, 86], center=[50, 30], radius=[18, 24], label_pos='center', is_label_show=True, label_text_color=None) pie.add("", ["惊悚", ""], [11, 89], center=[70, 30], radius=[18, 24], label_pos='center', is_label_show=True, label_text_color=None) pie.add("", ["冒险", ""], [27, 73], center=[90, 30], radius=[18, 24], label_pos='center', is_label_show=True, label_text_color=None) pie.add("", ["动作", ""], [15, 85], center=[10, 70], radius=[18, 24], label_pos='center', is_label_show=True, label_text_color=None) pie.add("", ["喜剧", ""], [54, 46], center=[30, 70], radius=[18, 24], label_pos='center', is_label_show=True, label_text_color=None) pie.add("", ["科幻", ""], [26, 74], center=[50, 70], radius=[18, 24], label_pos='center', is_label_show=True, label_text_color=None) pie.add("", ["悬疑", ""], [25, 75], center=[70, 70], radius=[18, 24], label_pos='center', is_label_show=True, label_text_color=None) pie.add("", ["犯罪", ""], [28, 72], center=[90, 70], radius=[18, 24], label_pos='center', is_label_show=True, label_text_color=None, is_legend_show=True, legend_top="center") pie.show_config() pie.render('e.html')
展示图像：
