Untitled.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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   "source": [
    "from pyecharts import Bar\n",
    "\n",
    "bar = Bar(\"我的第一个图表\", \"这里是副标题\")\n",
    "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])\n",
    "# bar.print_echarts_options() # 该行只为了打印配置项，方便调试时使用\n",
    "bar.render()    # 生成本地 HTML 文件\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min', 'china': '/nbextensions/echarts-countries-js/china'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"3631356ba35a43068cb3f9a068070049\" style=\"width:1000px;height:600px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts', 'china'], function(echarts) {\n",
       "        \n",
       "var myChart_3631356ba35a43068cb3f9a068070049 = echarts.init(document.getElementById('3631356ba35a43068cb3f9a068070049'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_3631356ba35a43068cb3f9a068070049 = {\n",
       "    \"toolbox\": {\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        },\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"show\": true,\n",
       "        \"top\": \"center\"\n",
       "    },\n",
       "    \"series_id\": 789094,\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\"\n",
       "            ],\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            },\n",
       "            \"show\": true,\n",
       "            \"top\": \"top\",\n",
       "            \"left\": \"center\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"selectedMode\": \"multiple\"\n",
       "        }\n",
       "    ],\n",
       "    \"geo\": {\n",
       "        \"itemStyle\": {\n",
       "            \"emphasis\": {\n",
       "                \"areaColor\": \"#2a333d\"\n",
       "            },\n",
       "            \"normal\": {\n",
       "                \"areaColor\": \"#323c48\",\n",
       "                \"borderColor\": \"#111\"\n",
       "            }\n",
       "        },\n",
       "        \"label\": {\n",
       "            \"emphasis\": {\n",
       "                \"textStyle\": {\n",
       "                    \"color\": \"#eee\"\n",
       "                },\n",
       "                \"show\": true\n",
       "            }\n",
       "        },\n",
       "        \"roam\": true,\n",
       "        \"map\": \"china\"\n",
       "    },\n",
       "    \"visualMap\": {\n",
       "        \"inRange\": {\n",
       "            \"color\": [\n",
       "                \"#50a3ba\",\n",
       "                \"#eac763\",\n",
       "                \"#d94e5d\"\n",
       "            ]\n",
       "        },\n",
       "        \"showLabel\": true,\n",
       "        \"type\": \"continuous\",\n",
       "        \"max\": 200,\n",
       "        \"calculable\": true,\n",
       "        \"left\": \"left\",\n",
       "        \"min\": 0,\n",
       "        \"splitNumber\": 5,\n",
       "        \"textStyle\": {\n",
       "            \"color\": \"#fff\"\n",
       "        },\n",
       "        \"top\": \"bottom\",\n",
       "        \"text\": [\n",
       "            \"high\",\n",
       "            \"low\"\n",
       "        ],\n",
       "        \"orient\": \"vertical\"\n",
       "    },\n",
       "    \"tooltip\": {\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"trigger\": \"item\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0,\n",
       "        \"formatter\": \"{b}: {c}\",\n",
       "        \"axisPointer\": {\n",
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       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
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       "        \"#bda29a\",\n",
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       "            \"subtext\": \"data from pm2.5\",\n",
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       "                        41\n",
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       "                        50\n",
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       "                        51\n",
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       "                        52\n",
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       "                        52\n",
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       "                {\n",
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       "                        52\n",
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       "                },\n",
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       "                        53\n",
       "                    ],\n",
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       "                        54\n",
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       "                        54\n",
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       "                },\n",
       "                {\n",
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       "                },\n",
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       "                        56\n",
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       "                        56\n",
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       "                        57\n",
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       "                        58\n",
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       "                        59\n",
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       "                },\n",
       "                {\n",
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       "                        59\n",
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       "                },\n",
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       "                        59\n",
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       "                },\n",
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       "                        60\n",
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       "                },\n",
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       "                        61\n",
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       "                        62\n",
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       "                },\n",
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       "                },\n",
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       "                        64\n",
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       "                        66\n",
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       "                        67\n",
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       "                        70\n",
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       "                        71\n",
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       "                        72\n",
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       "                        75\n",
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       "                        75\n",
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       "                        80\n",
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       "                        90\n",
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       "                        90\n",
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       "                        93\n",
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       "                        95\n",
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       "                        99\n",
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       "                        100\n",
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       "                        103\n",
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       "            \"type\": \"scatter\",\n",
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       "myChart_3631356ba35a43068cb3f9a068070049.setOption(option_3631356ba35a43068cb3f9a068070049);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.geo.Geo at 0x4c9e048>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts import Geo\n",
    "\n",
    "data = [\n",
    "    (\"海门\", 9),(\"鄂尔多斯\", 12),(\"招远\", 12),(\"舟山\", 12),(\"齐齐哈尔\", 14),(\"盐城\", 15),\n",
    "    (\"赤峰\", 16),(\"青岛\", 18),(\"乳山\", 18),(\"金昌\", 19),(\"泉州\", 21),(\"莱西\", 21),\n",
    "    (\"日照\", 21),(\"胶南\", 22),(\"南通\", 23),(\"拉萨\", 24),(\"云浮\", 24),(\"梅州\", 25),\n",
    "    (\"文登\", 25),(\"上海\", 25),(\"攀枝花\", 25),(\"威海\", 25),(\"承德\", 25),(\"厦门\", 26),\n",
    "    (\"汕尾\", 26),(\"潮州\", 26),(\"丹东\", 27),(\"太仓\", 27),(\"曲靖\", 27),(\"烟台\", 28),\n",
    "    (\"福州\", 29),(\"瓦房店\", 30),(\"即墨\", 30),(\"抚顺\", 31),(\"玉溪\", 31),(\"张家口\", 31),\n",
    "    (\"阳泉\", 31),(\"莱州\", 32),(\"湖州\", 32),(\"汕头\", 32),(\"昆山\", 33),(\"宁波\", 33),\n",
    "    (\"湛江\", 33),(\"揭阳\", 34),(\"荣成\", 34),(\"连云港\", 35),(\"葫芦岛\", 35),(\"常熟\", 36),\n",
    "    (\"东莞\", 36),(\"河源\", 36),(\"淮安\", 36),(\"泰州\", 36),(\"南宁\", 37),(\"营口\", 37),\n",
    "    (\"惠州\", 37),(\"江阴\", 37),(\"蓬莱\", 37),(\"韶关\", 38),(\"嘉峪关\", 38),(\"广州\", 38),\n",
    "    (\"延安\", 38),(\"太原\", 39),(\"清远\", 39),(\"中山\", 39),(\"昆明\", 39),(\"寿光\", 40),\n",
    "    (\"盘锦\", 40),(\"长治\", 41),(\"深圳\", 41),(\"珠海\", 42),(\"宿迁\", 43),(\"咸阳\", 43),\n",
    "    (\"铜川\", 44),(\"平度\", 44),(\"佛山\", 44),(\"海口\", 44),(\"江门\", 45),(\"章丘\", 45),\n",
    "    (\"肇庆\", 46),(\"大连\", 47),(\"临汾\", 47),(\"吴江\", 47),(\"石嘴山\", 49),(\"沈阳\", 50),\n",
    "    (\"苏州\", 50),(\"茂名\", 50),(\"嘉兴\", 51),(\"长春\", 51),(\"胶州\", 52),(\"银川\", 52),\n",
    "    (\"张家港\", 52),(\"三门峡\", 53),(\"锦州\", 54),(\"南昌\", 54),(\"柳州\", 54),(\"三亚\", 54),\n",
    "    (\"自贡\", 56),(\"吉林\", 56),(\"阳江\", 57),(\"泸州\", 57),(\"西宁\", 57),(\"宜宾\", 58),\n",
    "    (\"呼和浩特\", 58),(\"成都\", 58),(\"大同\", 58),(\"镇江\", 59),(\"桂林\", 59),(\"张家界\", 59),\n",
    "    (\"宜兴\", 59),(\"北海\", 60),(\"西安\", 61),(\"金坛\", 62),(\"东营\", 62),(\"牡丹江\", 63),\n",
    "    (\"遵义\", 63),(\"绍兴\", 63),(\"扬州\", 64),(\"常州\", 64),(\"潍坊\", 65),(\"重庆\", 66),\n",
    "    (\"台州\", 67),(\"南京\", 67),(\"滨州\", 70),(\"贵阳\", 71),(\"无锡\", 71),(\"本溪\", 71),\n",
    "    (\"克拉玛依\", 72),(\"渭南\", 72),(\"马鞍山\", 72),(\"宝鸡\", 72),(\"焦作\", 75),(\"句容\", 75),\n",
    "    (\"北京\", 79),(\"徐州\", 79),(\"衡水\", 80),(\"包头\", 80),(\"绵阳\", 80),(\"乌鲁木齐\", 84),\n",
    "    (\"枣庄\", 84),(\"杭州\", 84),(\"淄博\", 85),(\"鞍山\", 86),(\"溧阳\", 86),(\"库尔勒\", 86),\n",
    "    (\"安阳\", 90),(\"开封\", 90),(\"济南\", 92),(\"德阳\", 93),(\"温州\", 95),(\"九江\", 96),\n",
    "    (\"邯郸\", 98),(\"临安\", 99),(\"兰州\", 99),(\"沧州\", 100),(\"临沂\", 103),(\"南充\", 104),\n",
    "    (\"天津\", 105),(\"富阳\", 106),(\"泰安\", 112),(\"诸暨\", 112),(\"郑州\", 113),(\"哈尔滨\", 114),\n",
    "    (\"聊城\", 116),(\"芜湖\", 117),(\"唐山\", 119),(\"平顶山\", 119),(\"邢台\", 119),(\"德州\", 120),\n",
    "    (\"济宁\", 120),(\"荆州\", 127),(\"宜昌\", 130),(\"义乌\", 132),(\"丽水\", 133),(\"洛阳\", 134),\n",
    "    (\"秦皇岛\", 136),(\"株洲\", 143),(\"石家庄\", 147),(\"莱芜\", 148),(\"常德\", 152),(\"保定\", 153),\n",
    "    (\"湘潭\", 154),(\"金华\", 157),(\"岳阳\", 169),(\"长沙\", 175),(\"衢州\", 177),(\"廊坊\", 193),\n",
    "    (\"菏泽\", 194),(\"合肥\", 229),(\"武汉\", 273),(\"大庆\", 279)]\n",
    "geo = Geo(\"全国主要城市空气质量\", \"data from pm2.5\", title_color=\"#fff\",\n",
    "          title_pos=\"center\", width=1000,\n",
    "          height=600, background_color='#404a59')\n",
    "attr, value = geo.cast(data)\n",
    "geo.add(\"\", attr, value, visual_range=[0, 200], maptype='china',visual_text_color=\"#fff\",\n",
    "        symbol_size=10, is_visualmap=True)\n",
    "geo.render(\"全国主要城市空气质量.html\")#生成html文件\n",
    "geo#直接在notebook中显示"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min', 'cang1_zhou1': '/nbextensions/echarts-china-cities-js/he2_nan2_cang1_zhou1'\n",
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       "\n",
       "\n",
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       "    require(['echarts', 'cang1_zhou1'], function(echarts) {\n",
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       "                {\n",
       "                    \"value\": 915.1,\n",
       "                    \"name\": \"\\u6d77\\u5174\\u53bf\"\n",
       "                },\n",
       "                {\n",
       "                    \"value\": 796.0,\n",
       "                    \"name\": \"\\u76d0\\u5c71\\u53bf\"\n",
       "                },\n",
       "                {\n",
       "                    \"value\": 525.0,\n",
       "                    \"name\": \"\\u8083\\u5b81\\u53bf\"\n",
       "                },\n",
       "                {\n",
       "                    \"value\": 794.0,\n",
       "                    \"name\": \"\\u5357\\u76ae\\u53bf\"\n",
       "                },\n",
       "                {\n",
       "                    \"value\": 600.0,\n",
       "                    \"name\": \"\\u5434\\u6865\\u53bf\"\n",
       "                },\n",
       "                {\n",
       "                    \"value\": 1191.0,\n",
       "                    \"name\": \"\\u732e\\u53bf\"\n",
       "                },\n",
       "                {\n",
       "                    \"value\": 387.0,\n",
       "                    \"name\": \"\\u5b5f\\u6751\\u56de\\u65cf\\u81ea\\u6cbb\\u53bf\"\n",
       "                }\n",
       "            ],\n",
       "            \"symbol\": \"circle\",\n",
       "            \"roam\": true,\n",
       "            \"type\": \"map\",\n",
       "            \"label\": {\n",
       "                \"emphasis\": {\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"show\": true\n",
       "                },\n",
       "                \"normal\": {\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"show\": true,\n",
       "                    \"position\": \"top\"\n",
       "                }\n",
       "            },\n",
       "            \"showLegendSymbol\": false,\n",
       "            \"mapType\": \"\\u6ca7\\u5dde\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "myChart_c64b6d6cafde431f8cfd151ee18c2427.setOption(option_c64b6d6cafde431f8cfd151ee18c2427);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.map.Map at 0x4c94518>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "    from pyecharts import Map  \n",
    "    districts = ['运河区', '新华区', '泊头市', '任丘市', '黄骅市', '河间市', '沧县', '青县', '东光县', '海兴县', '盐山县', '肃宁县', '南皮县', '吴桥县', '献县', '孟村回族自治县']  \n",
    "    areas = [109.92, 109.47, 1006.5, 1023.0, 1544.7, 1333.0, 1104.0, 968.0, 730.0, 915.1, 796.0, 525.0, 794.0, 600.0, 1191.0, 387.0]  \n",
    "    map_1 = Map(\"沧州市图例－各区面积\", width=1200, height=600)  \n",
    "    map_1.add(\"\", districts, areas, maptype='沧州', is_visualmap=True, visual_range=[min(areas), max(areas)],  \n",
    "            visual_text_color='#000', is_map_symbol_show=False, is_label_show=True)  \n",
    "    map_1  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts': '/nbextensions/echarts/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "    <div id=\"46a608127f5f44979c7c35204a296541\" style=\"width:800px;height:400px;\"></div>\n",
       "\n",
       "\n",
       "<script>\n",
       "    require(['echarts'], function(echarts) {\n",
       "        \n",
       "var myChart_46a608127f5f44979c7c35204a296541 = echarts.init(document.getElementById('46a608127f5f44979c7c35204a296541'), 'light', {renderer: 'canvas'});\n",
       "\n",
       "var option_46a608127f5f44979c7c35204a296541 = {\n",
       "    \"series_id\": 7393548,\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"show\": true,\n",
       "            \"type\": \"value\",\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                },\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"splitLine\": {\n",
       "                \"show\": false\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"nameGap\": 25,\n",
       "            \"boundaryGap\": true\n",
       "        }\n",
       "    ],\n",
       "    \"toolbox\": {\n",
       "        \"feature\": {\n",
       "            \"saveAsImage\": {\n",
       "                \"show\": true,\n",
       "                \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
       "            },\n",
       "            \"restore\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"dataView\": {\n",
       "                \"show\": true\n",
       "            }\n",
       "        },\n",
       "        \"orient\": \"vertical\",\n",
       "        \"left\": \"95%\",\n",
       "        \"show\": true,\n",
       "        \"top\": \"center\"\n",
       "    },\n",
       "    \"tooltip\": {\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"trigger\": \"item\",\n",
       "        \"borderColor\": \"#333\",\n",
       "        \"borderWidth\": 0,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"backgroundColor\": \"rgba(50,50,50,0.7)\"\n",
       "    },\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\",\n",
       "        \"#f6f5ec\"\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"2017\\u5e74GDP\",\n",
       "                \"2016\\u5e74GDP\"\n",
       "            ],\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            },\n",
       "            \"show\": true,\n",
       "            \"top\": \"top\",\n",
       "            \"left\": \"center\",\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"selectedMode\": \"multiple\"\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"textStyle\": {\n",
       "                \"fontSize\": 18\n",
       "            },\n",
       "            \"subtext\": \"\\u526f\\u6807\\u9898\",\n",
       "            \"top\": \"auto\",\n",
       "            \"text\": \"\\u8d35\\u5ddeGDP\\u67f1\\u72b6\\u56fe\",\n",
       "            \"left\": \"auto\",\n",
       "            \"subtextStyle\": {\n",
       "                \"fontSize\": 12\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"axisTick\": {\n",
       "                \"alignWithLabel\": false\n",
       "            },\n",
       "            \"nameTextStyle\": {\n",
       "                \"fontSize\": 14\n",
       "            },\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"show\": true,\n",
       "            \"type\": \"value\",\n",
       "            \"axisLabel\": {\n",
       "                \"interval\": \"auto\",\n",
       "                \"formatter\": \"{value} \",\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 12\n",
       "                },\n",
       "                \"rotate\": 0,\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"splitLine\": {\n",
       "                \"show\": true\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"nameGap\": 25,\n",
       "            \"boundaryGap\": true\n",
       "        }\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                40,\n",
       "                30,\n",
       "                26,\n",
       "                22,\n",
       "                15\n",
       "            ],\n",
       "            \"seriesId\": 7393548,\n",
       "            \"type\": \"bar\",\n",
       "            \"label\": {\n",
       "                \"emphasis\": {\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"show\": true\n",
       "                },\n",
       "                \"normal\": {\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"show\": false,\n",
       "                    \"position\": \"top\"\n",
       "                }\n",
       "            },\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"name\": \"2017\\u5e74GDP\"\n",
       "        },\n",
       "        {\n",
       "            \"data\": [\n",
       "                13,\n",
       "                43,\n",
       "                32,\n",
       "                38,\n",
       "                20\n",
       "            ],\n",
       "            \"seriesId\": 7393548,\n",
       "            \"type\": \"bar\",\n",
       "            \"label\": {\n",
       "                \"emphasis\": {\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"show\": true\n",
       "                },\n",
       "                \"normal\": {\n",
       "                    \"textStyle\": {\n",
       "                        \"fontSize\": 12\n",
       "                    },\n",
       "                    \"show\": false,\n",
       "                    \"position\": \"top\"\n",
       "                }\n",
       "            },\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"name\": \"2016\\u5e74GDP\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "myChart_46a608127f5f44979c7c35204a296541.setOption(option_46a608127f5f44979c7c35204a296541);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.bar.Bar at 0x4c94198>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts import Bar  \n",
    "  \n",
    "bar = Bar(\"贵州GDP柱状图\", \"副标题\")  \n",
    "city = [\"贵阳市\", \"遵义市\", \"六盘水市\", \"安顺市\", \"黔东南州\"]  \n",
    "data1 = [40, 30, 26, 22, 15]  \n",
    "data2 = [13, 43, 32, 38, 20]  \n",
    "bar.add(\"2017年GDP\", city, data1)  \n",
    "bar.add(\"2016年GDP\", city, data2, is_convert=True)  \n",
    "# bar.show_config()  \n",
    "bar "
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "python 3.5",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
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