zoo

version: '3.1' services: zoo1: image: zookeeper:3.4.11 restart: always hostname: zoo1 container_name: zookeeper_1 #domainname: ports: - 2181:2181 environment: ZOO_MY_ID: 1 ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888 zoo2: image: zookeeper:3.4.11 restart: always hostname: zoo2 container_name: zookeeper_2 ports: - 2182:2181 environment: ZOO_MY_ID: 2 ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888 zoo3: image: zookeeper:3.4.11 restart: always hostname: zoo3 container_name: zookeeper_3 ports: - 2183:2181 environment: ZOO

python的数据结构有：列表、元组、字典 列表： 作用：处理 有序 项目的数据结构 list=["a",‘b‘,‘v‘,‘d‘] # 打印长度 print(len(list)) # 循环打印 for i in list: print i # 在序列最后插入数据 list.append("5") for i in list: print i print(list[0]) # 删除序列中的某个元素 del list[0] print(list[0]) # 对列表进行排序 list.sort() print(list) 元组 作用：同列表类似 区别：元组不可变，不可被修改 # 使用元组 zoo = (‘wolf‘, ‘elephant‘, ‘penguin‘) print ‘Number of animals in the zoo is‘, len(zoo) new_zoo = (‘monkey‘, ‘dolphin‘, zoo) print ‘Number of animals in the new zoo is‘, len(new_zoo) print ‘All animals in new zoo are‘, new_zoo print ‘Animals brought from old zoo are‘, new_zoo[2] print ‘Last animal

I am trying to calculate the rolling 20 period historical volatility. I take the daily returns: ret<-ROC(data1) And then I use rollapply to get the 20 day HV for each column: vol<-rollapply(ret,20,sd,by.column=T,fill=NA) The problem is that observations in vol starts appearing after ten days which is wrong as I specified 20. For demonstration here is sample of the data: 0.000000000, 0.005277045, 0.023622047, 0.002564103,-0.002557545, -0.020512821, 0.007853403,-0.012987013, 0.007894737, 0.015665796, 0.000000000, -0.002570694, 0.002577320, -0.015424165, 0.002610966, 0.010416667, 0.002577320, 0

目录 1.前提 2.配置主机名到IP地址的映射 3.修改zoo.cfg配置 4.新建myid文件并写入集群标识 5.在另外两台机器进行相同操作 6.查看集群状态配置结束 接着上一篇博客linux下zookeeper单机搭建，本篇进阶一下，利用三台机器进行集群操作。保证高可用。 1.前提 作者默认读者已经准备好了三台不同ip的机器或者虚拟机，并且都已经安装好jdk，linux 下zookeeper安装教程可以参考我的另一篇博客。 https://blog.csdn.net/u010199866/article/details/81742866 以下是zookeeper真集群配置教程 我们准备的三台机器ip分别为 xx.xx.xx.1 xx.xx.xx.2 xx.xx.xx.3 2.配置主机名到IP地址的映射 (此步骤不是必须的,我们可以直接在zk的配置文件中填写IP地址)，这样配置的好处是如果某个IP地址发生了变化，我们不需要重启zookeeper，直接修改主机对应的IP地址即可。 直接修改/etc/hosts文件，设置主机zoo-1映射到x.x.x.1，设置主机zoo-2映射到x.x.x.2，设置主机zoo-3映射到x.x.x.3 三台机器都需要相同的hosts配置 vim /etc/hosts x.x.x.1 zoo-1 x.x.x.2 zoo-2 x.x.x.3 zoo-3 3

I have a dataframe similar to the one generated by the following structure: library(dplyr) df1 <- expand.grid(region = c("USA", "EUR", "World"), time = c(2000, 2005, 2010, 2015, 2020), scenario = c("policy1", "policy2"), variable = c("foo", "bar")) df2 <- expand.grid(region = c("USA", "EUR", "World"), time = seq(2000, 2020, 1), scenario = c("policy1", "policy2"), variable = c("foo", "bar")) df2 <- filter(df2, !(time %in% c(2000, 2005, 2010, 2015, 2020))) df1$value <- rnorm(dim(df1)[1], 1.5, 1) df1[df1 < 0] <- NA df2$value <- NA df1[df1$region == "World" & df1$variable == "foo", "value"] <- NA

I am finding differences in behavior between two environments running R 2.12.1. In the first one zoo behaves as expected. > library(zoo) > x.date <- as.Date(paste(2003, 2, c(1, 3, 7, 9, 14), sep = "-")) > x <- zoo(rnorm(5), x.date) > index(x) [1] "2003-02-01" "2003-02-03" "2003-02-07" "2003-02-09" "2003-02-14" > as.Date(index(x)) [1] "2003-02-01" "2003-02-03" "2003-02-07" "2003-02-09" "2003-02-14" > sessionInfo() R version 2.12.1 (2010-12-16) Platform: x86_64-unknown-linux-gnu (64-bit) locale: [1] C attached base packages: [1] grid stats graphics grDevices utils datasets methods base other