查看2019 nCoV的源代码
←
2019 nCoV
跳转到:
导航
,
搜索
因为以下原因,你没有权限编辑本页:
您刚才请求的操作只有这个用户组中的用户才能使用:
用户
您可以查看并复制此页面的源代码:
== Data Overview == * Confirmed 确诊 * Suspected 疑似 * Recovered 恢复/痊愈 * Deaths 死亡 * Severe 重症 1.20 以前的数据以湖北省的数据代替: <source lang=python> ts = ['1.11','1.12','1.13','1.14','1.15','1.16','1.17','1.18','1.19', '1.20','1.21','1.22','1.23','1.24','1.25','1.26','1.27','1.28','1.29','1.30','1.31','2.1','2.2','2.3','2.4','2.5','2.6'] con = np.array([41,41,41,41,41,45,62,121,198, 291,440,571,835,1299,1985,2761,4535,5997,7736,9720,11821,14411,17238,20471,24363,28060,31211]) rec = np.array([2,6,7,7,12,15,19,24,25, 25,28,28,34,38,49,51,60,103,124,171,243,328,475,632,892,1153,1540]) dear = np.array([1,1,1,1,2,2,2,3,3, 6,9,17,25,41,56,80,106,132,170,213,259,304,361,425,490,563,636]) ser = np.array([7,7,6,6,5,5,8,44,44, 63,102,95,177,237,324,461,976,1239,1370,1527,1795,2110,2296,2788,3219,3859,4821]) con_hb = np.array([41,41,41,41,41,45,62,121,198, 270,375,444,549,729,1052,1423,2714,3554,4586,5806,7153,9074,11177,13522,16678]) rec_hb = np.array([2,6,7,7,12,15,19,24,25, 25,28,28,31,32,42,44,47,80,90,116,166,215,295,396,520]) dea_hb = np.array([1,1,1,1,2,2,2,3,3, 6,9,17,24,39,52,76,100,125,162,204,249,294,350,414,479]) ser_hb = np.array([7,7,6,6,5,5,8,44,44, 63,88,95,129,157,129,290,690,899,988,1094,1294,1562,1701,1567,2143,2520]) ts = ['1.19','1.20','1.21','1.22','1.23','1.24','1.25','1.26','1.27','1.28','1.29','1.30','1.31','2.1','2.2','2.3'] con_bj = np.array([2,5,10,14,26,36,51,68,80,91,111,132,156,183,212,228]) con_bj_cy = np.array([0,0,0,1,3,5,8,11,17,17,21,22,27,35,31,36]) </source> <br>
返回到
2019 nCoV
。
个人工具
登录
名字空间
页面
讨论
变换
查看
阅读
查看源代码
查看历史
操作
搜索
导航
首页
社区专页
新闻动态
最近更改
随机页面
帮助
工具箱
链入页面
相关更改
特殊页面