Question

我正在制作一系列不同股票的时间序列，并且我在绘制它们时遇到了一些问题。

所以我的数据集看起来像这样：

import java.io.IOException;

import javax.servlet.FilterChain;
import javax.servlet.ServletException;
import javax.servlet.ServletRequest;
import javax.servlet.ServletResponse;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.security.authentication.UsernamePasswordAuthenticationToken;
import org.springframework.security.core.authority.AuthorityUtils;
import org.springframework.security.core.context.SecurityContextHolder;
import org.springframework.security.core.userdetails.UserDetails;
import org.springframework.security.core.userdetails.UserDetailsService;
import org.springframework.security.web.authentication.UsernamePasswordAuthenticationFilter;
import org.springframework.security.web.authentication.WebAuthenticationDetailsSource;
import org.springframework.web.context.support.WebApplicationContextUtils;

import com.practice.AppConstant;

public class AuthenticationTokenFilter extends UsernamePasswordAuthenticationFilter {

    private Tokenutils tokenUtils;

    //@Autowired
    //private UserDetailsService userDetailService;

    @Override
    public void doFilter(ServletRequest request , ServletResponse res , FilterChain chain) throws IOException , ServletException{

            tokenUtils=(Tokenutils) WebApplicationContextUtils.getRequiredWebApplicationContext(this.getServletContext()).getBean(Tokenutils.class);

            //userDetailService=WebApplicationContextUtils.getRequiredWebApplicationContext(this.getServletContext()).getBean(UserDetailsService.class);

            HttpServletResponse response = (HttpServletResponse) res;
            response.setHeader("Access-Control-Allow-Origin", "*");
            response.setHeader("Access-Control-Allow-Methods", "POST, GET, OPTIONS, DELETE");
            response.setHeader("Access-Control-Max-Age", "3600");
            //response.setHeader("Access-Control-Allow-Headers", "x-requested-with");
            response.setHeader("Access-Control-Allow-Headers", "Origin, X-Requested-With, Content-Type,"+AppConstant.tokenHeader);

            HttpServletRequest httpRequest = (HttpServletRequest)request;
            //String authToken=httpRequest.getHeader(AppConstant.tokenHeader);
            String authToken=httpRequest.getParameter("XAuthToken");
            String userName=this.tokenUtils.getUsernameFromToken(authToken);
            if(userName!=null && SecurityContextHolder.getContext().getAuthentication()==null){
                //UserDetails userDetails= this.userDetailService.loadUserByUsername(userName);
                UserDetails userDetails=new SpringSecurityUser(1L, userName, null, null, null, AuthorityUtils.commaSeparatedStringToAuthorityList(""));
                if(this.tokenUtils.validateToken(authToken,userDetails)){
                    UsernamePasswordAuthenticationToken authentication= new UsernamePasswordAuthenticationToken(userDetails, null,userDetails.getAuthorities());
                    authentication.setDetails(new WebAuthenticationDetailsSource().buildDetails(httpRequest));
                    SecurityContextHolder.getContext().setAuthentication(authentication);
                }
            }
            chain.doFilter(request, res);
    }
}

现在，我手动绘制了所有A B C D 1/2/2012 0.007 0.012 0.015 0.009 1/3/2012 0.009 0.012 0.015 0.008 1/4/2012 0.012 0.012 0.015 0.009 1/5/2012 0.013 0.012 0.015 0.012 1/6/2012 0.013 0.012 0.015 0.011 1/9/2012 0.013 0.012 0.015 0.011 1/10/2012 0.013 0.009 0.015 0.011 1/11/2012 0.013 0.009 0.015 0.014 1/12/2012 0.013 0.009 0.015 0.014 1/13/2012 0.013 0.009 0.015 0.013 1/16/2012 0.013 0.012 0.014 0.017 1/17/2012 0.013 0.013 0.015 0.017 1/18/2012 0.014 0.013 0.015 0.018 1/19/2012 0.014 0.013 0.015 0.018 1/20/2012 0.015 0.012 0.015 0.018 1/24/2012 0.016 0.011 0.016 0.018 1/25/2012 0.016 0.011 0.016 0.019 1/26/2012 0.016 0.010 0.015 0.021 1/27/2012 0.016 0.010 0.015 0.022 1/30/2012 0.016 0.010 0.015 0.022 1/31/2012 0.016 0.010 0.015 0.022 2/1/2012 0.016 0.010 0.015 0.022 2/2/2012 0.020 0.012 0.015 0.025并通过gX <- ggplot(dat, aes(Index, X)) + geom_line

将它们绘制在一起

有没有办法使用facet_grid绘制这些图，因为我这样做是低效和僵硬的？

以下是我手动完成的情节：

Answer 1

假设您的data.frame A，B，C和D是股票名称，您必须先创建以下格式的长表：

Date       Stock   value
1/2/2012   A       0.007
1/2/2012   B       0.012
1/2/2012   C       0.015
1/2/2012   D       0.009
1/3/2012   A       0.009
1/3/2012   A       0.012
1/3/2012   A       0.015
1/3/2012   A       0.008

我假设您的第一列是rownames，并且必须将其作为列导入数据框。然后使用gather中的tidyr以长格式创建数据框。

library(tidyr)
df$Date <- rownames(df)
long <- gather(df, Stock, value, -Date)
ggplot(aes(x=Date, y=Value)) + geom_line() + facet_wrap(~Stock, scales='free_y', ncol=5)

在gather中，第一个参数第二个参数是包含早期列名的列的名称，第三个参数是包含其值的列的名称。 gather的以下参数是选择要收集的列，在这种情况下，除了 Date之外它都是（因为你有很多并且不想打扰手动输入所有内容）。

使用构面网格绘制多个图表

1 个答案: