我正在尝试搜索字符串以对数据帧进行子集化.我的df看起来像这样：
dput(df)
structure(list(Cause = structure(c(2L,1L),.Label = c("jasper not able to read the property table after the release","More than 7000 messages loaded which stuck up"),class = "factor"),Resolution = structure(1:2,.Label = c("jobs and reports are processed","Updated the property table which resolved the issue."),class = "factor")),.Names = c("Cause","Resolution"),class = "data.frame",row.names = c(NA,-2L))
我想这样做：
df1<-subset(df,grepl("*MQ*|*queue*|*Queue*",df$Cause))
在“原因”列中搜索MQ或队列或队列,使用匹配的记录对数据帧df进行子集化.它似乎没有工作,它捕获其他记录,MQ,队列或队列字符串不存在.
这是你怎么做的,我可以遵循的任何其他想法？
解决方法
下面的正则表达式似乎有效.我在data.frame中添加了一行,这是一个更有趣的例子.
我认为问题来自你的正则表达式中的* s,还添加了大括号来定义|的组但不要认为这是强制性的.
df <- data.frame(Cause=c("jasper not able to read the property table after the release","More than 7000 messages loaded which stuck up","blabla Queue blabla"),Resolution = c("jobs and reports are processed","Updated the property table which resolved the issue.","hop"))
> head(df)
Cause Resolution
1 jasper not able to read the property table after the release jobs and reports are processed
2 More than 7000 messages loaded which stuck up Updated the property table which resolved the issue.
3 blabla Queue blabla hop
> subset(df,grepl("(MQ)|(queue)|(Queue)",df$Cause))
Cause Resolution
3 blabla Queue blabla hop
这是你想要的吗？
