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xuming06
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add pyechart demo.
1 parent 27903f1 commit 90ff08d

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Lines changed: 161 additions & 1 deletion

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tool/pyechart_demo.py renamed to 32echart/bar_demo.py

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bar = Bar("我的第一个图表", "这里是副标题")
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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],is_more_utils=True)
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# bar.print_echarts_options() # 该行只为了打印配置项，方便调试时使用
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bar.render() # 生成本地 HTML 文件
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bar.render("bar.html") # 生成本地 HTML 文件
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‎32echart/city_map_demo.py‎

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# -*- coding: utf-8 -*-
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"""
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@author:XuMing（[email protected])
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@description:
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"""
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from pyecharts import Map
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value = [20, 190, 253, 77, 65]
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attr = ['汉阳区', '汉口区', '武昌区', '洪山区', '青山区']
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map = Map("武汉地图示例", width=1200,
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height=600)
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map.add("", attr, value, maptype='武汉',
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is_visualmap=True,
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visual_text_color='#000', is_label_show=True)
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map.render("city_map.html")

‎32echart/country_map_demo.py‎

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# -*- coding: utf-8 -*-
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"""
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@author:XuMing（[email protected])
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@description:
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"""
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from pyecharts import Map
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value = [155, 10, 66, 78]
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attr = ["福建", "山东", "北京", "上海"]
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map = Map("全国地图示例",height=720,width=800)
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map.add("", attr, value, maptype='china')
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map.render("country_map.html")
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‎32echart/geo_map_demo.py‎

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# -*- coding: utf-8 -*-
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"""
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@author:XuMing（[email protected])
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@description:
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"""
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from pyecharts import Geo
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data = [
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("海门", 9),("鄂尔多斯", 12),("招远", 12),("舟山", 12),("齐齐哈尔", 14),("盐城", 15),
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("赤峰", 16),("青岛", 18),("乳山", 18),("金昌", 19),("泉州", 21),("莱西", 21),
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("日照", 21),("胶南", 22),("南通", 23),("拉萨", 24),("云浮", 24),("梅州", 25),
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("文登", 25),("上海", 25),("攀枝花", 25),("威海", 25),("承德", 25),("厦门", 26),
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("汕尾", 26),("潮州", 26),("丹东", 27),("太仓", 27),("曲靖", 27),("烟台", 28),
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("福州", 29),("瓦房店", 30),("即墨", 30),("抚顺", 31),("玉溪", 31),("张家口", 31),
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("阳泉", 31),("莱州", 32),("湖州", 32),("汕头", 32),("昆山", 33),("宁波", 33),
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("湛江", 33),("揭阳", 34),("荣成", 34),("连云港", 35),("葫芦岛", 35),("常熟", 36),
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("东莞", 36),("河源", 36),("淮安", 36),("泰州", 36),("南宁", 37),("营口", 37),
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("惠州", 37),("江阴", 37),("蓬莱", 37),("韶关", 38),("嘉峪关", 38),("广州", 38),
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("延安", 38),("太原", 39),("清远", 39),("中山", 39),("昆明", 39),("寿光", 40),
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("盘锦", 40),("长治", 41),("深圳", 41),("珠海", 42),("宿迁", 43),("咸阳", 43),
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("铜川", 44),("平度", 44),("佛山", 44),("海口", 44),("江门", 45),("章丘", 45),
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("肇庆", 46),("大连", 47),("临汾", 47),("吴江", 47),("石嘴山", 49),("沈阳", 50),
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("苏州", 50),("茂名", 50),("嘉兴", 51),("长春", 51),("胶州", 52),("银川", 52),
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("张家港", 52),("三门峡", 53),("锦州", 54),("南昌", 54),("柳州", 54),("三亚", 54),
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("自贡", 56),("吉林", 56),("阳江", 57),("泸州", 57),("西宁", 57),("宜宾", 58),
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("呼和浩特", 58),("成都", 58),("大同", 58),("镇江", 59),("桂林", 59),("张家界", 59),
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("宜兴", 59),("北海", 60),("西安", 61),("金坛", 62),("东营", 62),("牡丹江", 63),
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("遵义", 63),("绍兴", 63),("扬州", 64),("常州", 64),("潍坊", 65),("重庆", 66),
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("台州", 67),("南京", 67),("滨州", 70),("贵阳", 71),("无锡", 71),("本溪", 71),
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("克拉玛依", 72),("渭南", 72),("马鞍山", 72),("宝鸡", 72),("焦作", 75),("句容", 75),
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("北京", 79),("徐州", 79),("衡水", 80),("包头", 80),("绵阳", 80),("乌鲁木齐", 84),
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("枣庄", 84),("杭州", 84),("淄博", 85),("鞍山", 86),("溧阳", 86),("库尔勒", 86),
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("安阳", 90),("开封", 90),("济南", 92),("德阳", 93),("温州", 95),("九江", 96),
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("邯郸", 98),("临安", 99),("兰州", 99),("沧州", 100),("临沂", 103),("南充", 104),
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("天津", 105),("富阳", 106),("泰安", 112),("诸暨", 112),("郑州", 113),("哈尔滨", 114),
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("聊城", 116),("芜湖", 117),("唐山", 119),("平顶山", 119),("邢台", 119),("德州", 120),
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("济宁", 120),("荆州", 127),("宜昌", 130),("义乌", 132),("丽水", 133),("洛阳", 134),
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("秦皇岛", 136),("株洲", 143),("石家庄", 147),("莱芜", 148),("常德", 152),("保定", 153),
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("湘潭", 154),("金华", 157),("岳阳", 169),("长沙", 175),("衢州", 177),("廊坊", 193),
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("菏泽", 194),("合肥", 229),("武汉", 273),("大庆", 279)]
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geo = Geo(
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"全国主要城市空气质量",
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"data from pm2.5",
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title_color="#fff",
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title_pos="center",
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width=1200,
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height=600,
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background_color="#404a59",
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)
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attr, value = geo.cast(data)
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geo.add(
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"",
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attr,
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value,
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visual_range=[0, 200],
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visual_text_color="#fff",
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symbol_size=15,
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is_visualmap=True,
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)
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geo.render("geo_map.html")
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geo = Geo(
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"全国主要城市空气质量",
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"data from pm2.5",
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title_color="#fff",
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title_pos="center",
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width=1200,
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height=600,
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background_color="#404a59",
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)
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attr, value = geo.cast(data)
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geo.add(
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"",
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attr,
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value,
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type="heatmap",
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is_visualmap=True,
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visual_range=[0, 300],
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visual_text_color="#fff",
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)
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geo.render("geo_map_heat.html")

‎32echart/geo_place_lat.py‎

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# -*- coding: utf-8 -*-
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"""
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@author:XuMing（[email protected])
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@description:
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"""
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from pyecharts.datasets.coordinates import get_coordinate,search_coordinates_by_keyword
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coordinate = get_coordinate('武汉', region="中国")
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print(coordinate)
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ret = search_coordinates_by_keyword("东湖区")
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print(ret)

‎32echart/province_map_demo.py‎

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# -*- coding: utf-8 -*-
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"""
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@author:XuMing（[email protected])
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@description:
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"""
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from pyecharts import Map
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value = [20, 190, 253, 77, 65]
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attr = ['汕头市', '汕尾市', '揭阳市', '阳江市', '肇庆市']
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map = Map("广东地图示例", width=1200,
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height=600)
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map.add("", attr, value, maptype='广东',
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is_visualmap=True,
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visual_text_color='#000',is_label_show=True)
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map.render("prov_map.html")

‎32echart/wordcloud_demo.py‎

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# -*- coding: utf-8 -*-
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"""
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@author:XuMing（[email protected])
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@description:
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"""
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from pyecharts import WordCloud
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name_list = ['Sam S Club', 'Macys', 'Amy Schumer', 'Jurassic World',
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'Charter Communications','Chick Fil A', 'Planet Fitness',
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'Pitch Perfect', 'Express','Home', 'Johnny Depp',
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'Lena Dunham', 'Lewis Hamilton', 'KXAN', 'Mary EllenMark',
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'Farrah Abraham','Rita Ora', 'Serena Williams',
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'NCAA baseball tournament','Point Break']
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value_list = [10000, 6181, 4386, 4055, 2467, 2244,
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1898, 1484, 1112,965, 847, 582, 555,
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550, 462, 366, 360, 282, 273, 265]
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wordcloud = WordCloud(width=800, height=500)
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wordcloud.add("", name_list, value_list, word_size_range=[20, 100])
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wordcloud.render("wordcloud.html")

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