{"action":"created","issue":{"url":"https://api.github.com/repos/ecomfe/echarts/issues/4192","repository_url":"https://api.github.com/repos/ecomfe/echarts","labels_url":"https://api.github.com/repos/ecomfe/echarts/issues/4192/labels{/name}","comments_url":"https://api.github.com/repos/ecomfe/echarts/issues/4192/comments","events_url":"https://api.github.com/repos/ecomfe/echarts/issues/4192/events","html_url":"https://github.com/ecomfe/echarts/issues/4192","id":181816393,"number":4192,"title":"legend过多时会出现显示不完全的现象（option.legend.y = 'bottom'）","user":{"login":"wdnlwzd","id":17924984,"avatar_url":"https://avatars.githubusercontent.com/u/17924984?v=3","gravatar_id":"","url":"https://api.github.com/users/wdnlwzd","html_url":"https://github.com/wdnlwzd","followers_url":"https://api.github.com/users/wdnlwzd/followers","following_url":"https://api.github.com/users/wdnlwzd/following{/other_user}","gists_url":"https://api.github.com/users/wdnlwzd/gists{/gist_id}","starred_url":"https://api.github.com/users/wdnlwzd/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/wdnlwzd/subscriptions","organizations_url":"https://api.github.com/users/wdnlwzd/orgs","repos_url":"https://api.github.com/users/wdnlwzd/repos","events_url":"https://api.github.com/users/wdnlwzd/events{/privacy}","received_events_url":"https://api.github.com/users/wdnlwzd/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":3,"created_at":"2016-10-08T09:41:35Z","updated_at":"2016-10-11T05:26:29Z","closed_at":null,"body":"<!--\r\n为了方便我们能够复现和修复 bug，请遵从下面的规范描述您的问题。\r\n-->\r\n#### 问题简述 (One-line summary)\r\n使用的是标准散点图，当legend.data过多时会出现显示不完全的现象（option.legend.y = 'bottom'）,\r\n    legend: {\r\n      \tx: 'center',\r\n        y: 'bottom',\r\n        data:['女性','男性','34534524234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','23423423400000']\r\n    },\r\n如图：\r\n![image](https://cloud.githubusercontent.com/assets/17924984/19212097/dc65ab7a-8d7c-11e6-8cc7-daf28f70e8af.png)\r\n最后一个legend并不是'23423423400000'，而是到‘444444444444444444444’就不显示了，相反如果我把legend设置为option.legend.y = 'top'，则可以完全显示\r\n如图：\r\n![image](https://cloud.githubusercontent.com/assets/17924984/19212109/25085da0-8d7d-11e6-915f-b35c4fab088a.png)\r\n此时最后一个legend为‘23423423400000’；显示正确。。。可能legend看着有点乱，为了测试胡乱输入的，请见谅！！！\r\n\r\n\r\n\r\n#### 版本及环境 (Version & Environment)\r\n+ ECharts 版本 (ECharts version):2.2.7  (官网最新版)\r\n+ 浏览器类型和版本 (Browser version):chrome  版本 53.0.2785.143 m\r\n+ 操作系统类型和版本 (OS Version): win10\r\n\r\n\r\n#### 重现步骤 (Steps to reproduce)\r\n1.官网散点图http://echarts.baidu.com/echarts2/doc/example/scatter1.html#infographic\r\n更改legend为\r\n    legend: {\r\n      \tx: 'center',\r\n        y: 'bottom',\r\n        data:['女性','男性','34534524234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','23423423400000']\r\n    },\r\n2.更改legend.y = 'top' 则显示正常\r\n\r\n\r\n#### 期望结果 (Expected behaviour)\r\n当legend.y = 'bottom'时 图例能完全显示。。。\r\n当然我知道可以通过数值number设定legend.y 的 坐标来避免此问题，但是我想说的是legend.y = ‘bottom’ 时 默认的问题，而不是通过legend.y = ‘XX’（某个数值）。。。\r\n\r\n#### 可能哪里有问题 (What went wrong)\r\n应该是当legend.y = 'bottom'时，预留的高度不够！\r\n\r\n\r\n#### ECharts配置项 (ECharts option)\r\n<!-- 下方贴你的option，注意不要删掉下方 ```javascript 和 尾部的 ``` 字样。\r\n最好是我们能够直接运行的 option。如何得到能运行的 option 参见上方的 guidelines for contributing\r\n-->\r\n```javascript\r\noption = {\r\n    title : {\r\n        text: '男性女性身高体重分布',\r\n        subtext: '抽样调查来自: Heinz  2003'\r\n    },\r\n    tooltip : {\r\n        trigger: 'axis',\r\n        showDelay : 0,\r\n        formatter : function (params) {\r\n            if (params.value.length > 1) {\r\n                return params.seriesName + ' :<br/>'\r\n                   + params.value[0] + 'cm ' \r\n                   + params.value[1] + 'kg ';\r\n            }\r\n            else {\r\n                return params.seriesName + ' :<br/>'\r\n                   + params.name + ' : '\r\n                   + params.value + 'kg ';\r\n            }\r\n        },  \r\n        axisPointer:{\r\n            show: true,\r\n            type : 'cross',\r\n            lineStyle: {\r\n                type : 'dashed',\r\n                width : 1\r\n            }\r\n        }\r\n    },\r\n    legend: {\r\n      \tx: 'center',\r\n        y: 'top',\r\n        data:['女性','男性','34534524234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','234234234','234234234234234114','222222222222222222221','3333333333333333333333333333333','444444444444444444444','22222224666666666666666666','23423423400000']\r\n    },\r\n    toolbox: {\r\n        show : true,\r\n        feature : {\r\n            mark : {show: true},\r\n            dataZoom : {show: true},\r\n            dataView : {show: true, readOnly: false},\r\n            restore : {show: true},\r\n            saveAsImage : {show: true}\r\n        }\r\n    },\r\n    xAxis : [\r\n        {\r\n            type : 'value',\r\n            scale:true,\r\n            axisLabel : {\r\n                formatter: '{value} cm'\r\n            }\r\n        }\r\n    ],\r\n    yAxis : [\r\n        {\r\n            type : 'value',\r\n            scale:true,\r\n            axisLabel : {\r\n                formatter: '{value} kg'\r\n            }\r\n        }\r\n    ],\r\n    series : [\r\n        {\r\n            name:'女性',\r\n            type:'scatter',\r\n            data: [[161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0], [155.8, 53.6],\r\n                [170.0, 59.0], [159.1, 47.6], [166.0, 69.8], [176.2, 66.8], [160.2, 75.2],\r\n                [172.5, 55.2], [170.9, 54.2], [172.9, 62.5], [153.4, 42.0], [160.0, 50.0],\r\n                [147.2, 49.8], [168.2, 49.2], [175.0, 73.2], [157.0, 47.8], [167.6, 68.8],\r\n                [159.5, 50.6], [175.0, 82.5], [166.8, 57.2], [176.5, 87.8], [170.2, 72.8],\r\n                [174.0, 54.5], [173.0, 59.8], [179.9, 67.3], [170.5, 67.8], [160.0, 47.0],\r\n                [154.4, 46.2], [162.0, 55.0], [176.5, 83.0], [160.0, 54.4], [152.0, 45.8],\r\n                [162.1, 53.6], [170.0, 73.2], [160.2, 52.1], [161.3, 67.9], [166.4, 56.6],\r\n                [168.9, 62.3], [163.8, 58.5], [167.6, 54.5], [160.0, 50.2], [161.3, 60.3],\r\n                [167.6, 58.3], [165.1, 56.2], [160.0, 50.2], [170.0, 72.9], [157.5, 59.8],\r\n                [167.6, 61.0], [160.7, 69.1], [163.2, 55.9], [152.4, 46.5], [157.5, 54.3],\r\n                [168.3, 54.8], [180.3, 60.7], [165.5, 60.0], [165.0, 62.0], [164.5, 60.3],\r\n                [156.0, 52.7], [160.0, 74.3], [163.0, 62.0], [165.7, 73.1], [161.0, 80.0],\r\n                [162.0, 54.7], [166.0, 53.2], [174.0, 75.7], [172.7, 61.1], [167.6, 55.7],\r\n                [151.1, 48.7], [164.5, 52.3], [163.5, 50.0], [152.0, 59.3], [169.0, 62.5],\r\n                [164.0, 55.7], [161.2, 54.8], [155.0, 45.9], [170.0, 70.6], [176.2, 67.2],\r\n                [170.0, 69.4], [162.5, 58.2], [170.3, 64.8], [164.1, 71.6], [169.5, 52.8],\r\n                [163.2, 59.8], [154.5, 49.0], [159.8, 50.0], [173.2, 69.2], [170.0, 55.9],\r\n                [161.4, 63.4], [169.0, 58.2], [166.2, 58.6], [159.4, 45.7], [162.5, 52.2],\r\n                [159.0, 48.6], [162.8, 57.8], [159.0, 55.6], [179.8, 66.8], [162.9, 59.4],\r\n                [161.0, 53.6], [151.1, 73.2], [168.2, 53.4], [168.9, 69.0], [173.2, 58.4],\r\n                [171.8, 56.2], [178.0, 70.6], [164.3, 59.8], [163.0, 72.0], [168.5, 65.2],\r\n                [166.8, 56.6], [172.7, 105.2], [163.5, 51.8], [169.4, 63.4], [167.8, 59.0],\r\n                [159.5, 47.6], [167.6, 63.0], [161.2, 55.2], [160.0, 45.0], [163.2, 54.0],\r\n                [162.2, 50.2], [161.3, 60.2], [149.5, 44.8], [157.5, 58.8], [163.2, 56.4],\r\n                [172.7, 62.0], [155.0, 49.2], [156.5, 67.2], [164.0, 53.8], [160.9, 54.4],\r\n                [162.8, 58.0], [167.0, 59.8], [160.0, 54.8], [160.0, 43.2], [168.9, 60.5],\r\n                [158.2, 46.4], [156.0, 64.4], [160.0, 48.8], [167.1, 62.2], [158.0, 55.5],\r\n                [167.6, 57.8], [156.0, 54.6], [162.1, 59.2], [173.4, 52.7], [159.8, 53.2],\r\n                [170.5, 64.5], [159.2, 51.8], [157.5, 56.0], [161.3, 63.6], [162.6, 63.2],\r\n                [160.0, 59.5], [168.9, 56.8], [165.1, 64.1], [162.6, 50.0], [165.1, 72.3],\r\n                [166.4, 55.0], [160.0, 55.9], [152.4, 60.4], [170.2, 69.1], [162.6, 84.5],\r\n                [170.2, 55.9], [158.8, 55.5], [172.7, 69.5], [167.6, 76.4], [162.6, 61.4],\r\n                [167.6, 65.9], [156.2, 58.6], [175.2, 66.8], [172.1, 56.6], [162.6, 58.6],\r\n                [160.0, 55.9], [165.1, 59.1], [182.9, 81.8], [166.4, 70.7], [165.1, 56.8],\r\n                [177.8, 60.0], [165.1, 58.2], [175.3, 72.7], [154.9, 54.1], [158.8, 49.1],\r\n                [172.7, 75.9], [168.9, 55.0], [161.3, 57.3], [167.6, 55.0], [165.1, 65.5],\r\n                [175.3, 65.5], [157.5, 48.6], [163.8, 58.6], [167.6, 63.6], [165.1, 55.2],\r\n                [165.1, 62.7], [168.9, 56.6], [162.6, 53.9], [164.5, 63.2], [176.5, 73.6],\r\n                [168.9, 62.0], [175.3, 63.6], [159.4, 53.2], [160.0, 53.4], [170.2, 55.0],\r\n                [162.6, 70.5], [167.6, 54.5], [162.6, 54.5], [160.7, 55.9], [160.0, 59.0],\r\n                [157.5, 63.6], [162.6, 54.5], [152.4, 47.3], [170.2, 67.7], [165.1, 80.9],\r\n                [172.7, 70.5], [165.1, 60.9], [170.2, 63.6], [170.2, 54.5], [170.2, 59.1],\r\n                [161.3, 70.5], [167.6, 52.7], [167.6, 62.7], [165.1, 86.3], [162.6, 66.4],\r\n                [152.4, 67.3], [168.9, 63.0], [170.2, 73.6], [175.2, 62.3], [175.2, 57.7],\r\n                [160.0, 55.4], [165.1, 104.1], [174.0, 55.5], [170.2, 77.3], [160.0, 80.5],\r\n                [167.6, 64.5], [167.6, 72.3], [167.6, 61.4], [154.9, 58.2], [162.6, 81.8],\r\n                [175.3, 63.6], [171.4, 53.4], [157.5, 54.5], [165.1, 53.6], [160.0, 60.0],\r\n                [174.0, 73.6], [162.6, 61.4], [174.0, 55.5], [162.6, 63.6], [161.3, 60.9],\r\n                [156.2, 60.0], [149.9, 46.8], [169.5, 57.3], [160.0, 64.1], [175.3, 63.6],\r\n                [169.5, 67.3], [160.0, 75.5], [172.7, 68.2], [162.6, 61.4], [157.5, 76.8],\r\n                [176.5, 71.8], [164.4, 55.5], [160.7, 48.6], [174.0, 66.4], [163.8, 67.3]\r\n            ],\r\n            markPoint : {\r\n                data : [\r\n                    {type : 'max', name: '最大值'},\r\n                    {type : 'min', name: '最小值'}\r\n                ]\r\n            },\r\n            markLine : {\r\n                data : [\r\n                    {type : 'average', name: '平均值'}\r\n                ]\r\n            }\r\n        },\r\n        {\r\n            name:'男性',\r\n            type:'scatter',\r\n            data: [[174.0, 65.6], [175.3, 71.8], [193.5, 80.7], [186.5, 72.6], [187.2, 78.8],\r\n                [181.5, 74.8], [184.0, 86.4], [184.5, 78.4], [175.0, 62.0], [184.0, 81.6],\r\n                [180.0, 76.6], [177.8, 83.6], [192.0, 90.0], [176.0, 74.6], [174.0, 71.0],\r\n                [184.0, 79.6], [192.7, 93.8], [171.5, 70.0], [173.0, 72.4], [176.0, 85.9],\r\n                [176.0, 78.8], [180.5, 77.8], [172.7, 66.2], [176.0, 86.4], [173.5, 81.8],\r\n                [178.0, 89.6], [180.3, 82.8], [180.3, 76.4], [164.5, 63.2], [173.0, 60.9],\r\n                [183.5, 74.8], [175.5, 70.0], [188.0, 72.4], [189.2, 84.1], [172.8, 69.1],\r\n                [170.0, 59.5], [182.0, 67.2], [170.0, 61.3], [177.8, 68.6], [184.2, 80.1],\r\n                [186.7, 87.8], [171.4, 84.7], [172.7, 73.4], [175.3, 72.1], [180.3, 82.6],\r\n                [182.9, 88.7], [188.0, 84.1], [177.2, 94.1], [172.1, 74.9], [167.0, 59.1],\r\n                [169.5, 75.6], [174.0, 86.2], [172.7, 75.3], [182.2, 87.1], [164.1, 55.2],\r\n                [163.0, 57.0], [171.5, 61.4], [184.2, 76.8], [174.0, 86.8], [174.0, 72.2],\r\n                [177.0, 71.6], [186.0, 84.8], [167.0, 68.2], [171.8, 66.1], [182.0, 72.0],\r\n                [167.0, 64.6], [177.8, 74.8], [164.5, 70.0], [192.0, 101.6], [175.5, 63.2],\r\n                [171.2, 79.1], [181.6, 78.9], [167.4, 67.7], [181.1, 66.0], [177.0, 68.2],\r\n                [174.5, 63.9], [177.5, 72.0], [170.5, 56.8], [182.4, 74.5], [197.1, 90.9],\r\n                [180.1, 93.0], [175.5, 80.9], [180.6, 72.7], [184.4, 68.0], [175.5, 70.9],\r\n                [180.6, 72.5], [177.0, 72.5], [177.1, 83.4], [181.6, 75.5], [176.5, 73.0],\r\n                [175.0, 70.2], [174.0, 73.4], [165.1, 70.5], [177.0, 68.9], [192.0, 102.3],\r\n                [176.5, 68.4], [169.4, 65.9], [182.1, 75.7], [179.8, 84.5], [175.3, 87.7],\r\n                [184.9, 86.4], [177.3, 73.2], [167.4, 53.9], [178.1, 72.0], [168.9, 55.5],\r\n                [157.2, 58.4], [180.3, 83.2], [170.2, 72.7], [177.8, 64.1], [172.7, 72.3],\r\n                [165.1, 65.0], [186.7, 86.4], [165.1, 65.0], [174.0, 88.6], [175.3, 84.1],\r\n                [185.4, 66.8], [177.8, 75.5], [180.3, 93.2], [180.3, 82.7], [177.8, 58.0],\r\n                [177.8, 79.5], [177.8, 78.6], [177.8, 71.8], [177.8, 116.4], [163.8, 72.2],\r\n                [188.0, 83.6], [198.1, 85.5], [175.3, 90.9], [166.4, 85.9], [190.5, 89.1],\r\n                [166.4, 75.0], [177.8, 77.7], [179.7, 86.4], [172.7, 90.9], [190.5, 73.6],\r\n                [185.4, 76.4], [168.9, 69.1], [167.6, 84.5], [175.3, 64.5], [170.2, 69.1],\r\n                [190.5, 108.6], [177.8, 86.4], [190.5, 80.9], [177.8, 87.7], [184.2, 94.5],\r\n                [176.5, 80.2], [177.8, 72.0], [180.3, 71.4], [171.4, 72.7], [172.7, 84.1],\r\n                [172.7, 76.8], [177.8, 63.6], [177.8, 80.9], [182.9, 80.9], [170.2, 85.5],\r\n                [167.6, 68.6], [175.3, 67.7], [165.1, 66.4], [185.4, 102.3], [181.6, 70.5],\r\n                [172.7, 95.9], [190.5, 84.1], [179.1, 87.3], [175.3, 71.8], [170.2, 65.9],\r\n                [193.0, 95.9], [171.4, 91.4], [177.8, 81.8], [177.8, 96.8], [167.6, 69.1],\r\n                [167.6, 82.7], [180.3, 75.5], [182.9, 79.5], [176.5, 73.6], [186.7, 91.8],\r\n                [188.0, 84.1], [188.0, 85.9], [177.8, 81.8], [174.0, 82.5], [177.8, 80.5],\r\n                [171.4, 70.0], [185.4, 81.8], [185.4, 84.1], [188.0, 90.5], [188.0, 91.4],\r\n                [182.9, 89.1], [176.5, 85.0], [175.3, 69.1], [175.3, 73.6], [188.0, 80.5],\r\n                [188.0, 82.7], [175.3, 86.4], [170.5, 67.7], [179.1, 92.7], [177.8, 93.6],\r\n                [175.3, 70.9], [182.9, 75.0], [170.8, 93.2], [188.0, 93.2], [180.3, 77.7],\r\n                [177.8, 61.4], [185.4, 94.1], [168.9, 75.0], [185.4, 83.6], [180.3, 85.5],\r\n                [174.0, 73.9], [167.6, 66.8], [182.9, 87.3], [160.0, 72.3], [180.3, 88.6],\r\n                [167.6, 75.5], [186.7, 101.4], [175.3, 91.1], [175.3, 67.3], [175.9, 77.7],\r\n                [175.3, 81.8], [179.1, 75.5], [181.6, 84.5], [177.8, 76.6], [182.9, 85.0],\r\n                [177.8, 102.5], [184.2, 77.3], [179.1, 71.8], [176.5, 87.9], [188.0, 94.3],\r\n                [174.0, 70.9], [167.6, 64.5], [170.2, 77.3], [167.6, 72.3], [188.0, 87.3],\r\n                [174.0, 80.0], [176.5, 82.3], [180.3, 73.6], [167.6, 74.1], [188.0, 85.9],\r\n                [180.3, 73.2], [167.6, 76.3], [183.0, 65.9], [183.0, 90.9], [179.1, 89.1],\r\n                [170.2, 62.3], [177.8, 82.7], [179.1, 79.1], [190.5, 98.2], [177.8, 84.1],\r\n                [180.3, 83.2], [180.3, 83.2]\r\n            ],\r\n            markPoint : {\r\n                data : [\r\n                    {type : 'max', name: '最大值'},\r\n                    {type : 'min', name: '最小值'}\r\n                ]\r\n            },\r\n            markLine : {\r\n                data : [\r\n                    {type : 'average', name: '平均值'}\r\n                ]\r\n            }\r\n        }\r\n    ]\r\n};\r\n                    \r\n\r\n```\r\n\r\n\r\n#### 其他信息 (Other comments)\r\n<!-- 例如，截图或线上实例 (JSFiddle/JSBin/Codepen) (For example: Screenshot or Online demo) -->\r\n\r\n![image](https://cloud.githubusercontent.com/assets/17924984/19212181/ebd7a67e-8d7e-11e6-853c-7242113455bb.png)\r\n"},"comment":{"url":"https://api.github.com/repos/ecomfe/echarts/issues/comments/252817062","html_url":"https://github.com/ecomfe/echarts/issues/4192#issuecomment-252817062","issue_url":"https://api.github.com/repos/ecomfe/echarts/issues/4192","id":252817062,"user":{"login":"wdnlwzd","id":17924984,"avatar_url":"https://avatars.githubusercontent.com/u/17924984?v=3","gravatar_id":"","url":"https://api.github.com/users/wdnlwzd","html_url":"https://github.com/wdnlwzd","followers_url":"https://api.github.com/users/wdnlwzd/followers","following_url":"https://api.github.com/users/wdnlwzd/following{/other_user}","gists_url":"https://api.github.com/users/wdnlwzd/gists{/gist_id}","starred_url":"https://api.github.com/users/wdnlwzd/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/wdnlwzd/subscriptions","organizations_url":"https://api.github.com/users/wdnlwzd/orgs","repos_url":"https://api.github.com/users/wdnlwzd/repos","events_url":"https://api.github.com/users/wdnlwzd/events{/privacy}","received_events_url":"https://api.github.com/users/wdnlwzd/received_events","type":"User","site_admin":false},"created_at":"2016-10-11T05:26:29Z","updated_at":"2016-10-11T05:26:29Z","body":"@100pah  谢谢"}}
{"actor":{"display_login":"wdnlwzd"}}