我有以下提到的数据框:
DF
Date Count
2019-01-01 150
Ma\_New 50
AR\_Old 50
ST\_New 50
无论何时何地,我都需要从第一列中删除“ \”号,并且需要像这样的数据框。
Required_DF
Date Count
2019-01-01 150
Ma_New 50
AR_Old 50
ST_New 50
我尝试过
Required_DF <- within(DF, sapply(var, function(x) x <- replace(x, x=="Ma\_New", "Ma_New")))
,但出现错误Error: '\_' is an unrecognized escape in character string starting ""Ma\_"
投放:
structure(list(Date = structure(c(1L, 18L, 19L, 20L, 21L, 22L,
23L), .Label = c("2019-04-01", "2019-04-02", "2019-04-03", "2019-04-04",
"2019-04-05", "2019-04-06", "2019-04-07", "2019-04-08", "2019-04-09",
"2019-04-10", "2019-04-11", "2019-04-12", "2019-04-13", "2019-04-14",
"2019-04-15", "2019-04-16", "2019-04-17", "Abc", "xyz", "Ma\\_New",
"AR\\_Old", "ST\\_New", "RR\\_New\\_List"), class = "factor"),
`# of Count` = structure(c(32L, 16L, 55L, 1L, 50L, 58L,
1L), .Label = c(" 0", " 1", " 10", "100", "102", "103",
"109", "115", " 12", " 15", "155", "161", "162", "167", " 17",
"172", "175", "188", "189", " 19", " 2", "201", "203", "207",
"222", "240", "241", "246", "251", "285", "288", "295", " 30",
"305", "307", "321", "334", "339", " 34", "346", "370", "372",
" 38", " 43", " 44", " 5", " 50", "507", " 53", " 54", " 55",
" 56", " 57", " 58", " 6", " 60", " 61", " 63", " 65", " 74",
" 78", " 79", " 9", " 96"), class = "factor")), .Names = c("Date",
"# of Count"), class = "data.frame", row.names = c(NA, 7L
))
答案 0 :(得分:1)
如果您有两个反斜杠,则需要将其转义两次。使用gsub
,我们可以做到
gsub("\\\\", "", df$Date)
#[1] "2019-04-01" "Abc" "xyz" "Ma_New" "AR_Old" "ST_New" "RR_New_List"