如何更改列表中数据帧的列名

Question

我有一个数据帧列表，并希望更改该列表所包含的每个子数据帧的列名的部件。

list(A = structure(list(`A-DIODE` = c(1.2, 0.4), `A-DIODE` = c(1.3, 
0.6)), row.names = c(NA, -2L), class = "data.frame"), B = structure(list(
    `B-DIODE` = c(1.4, 0.8), `B-ACC1` = c(1.5, 1), `B-ACC2` = c(1.6, 
    1.2), `B-ANA0` = c(1.7, 1.4), `B-ANA1` = c(1.8, 1.6), `B-BRICKID` = c(1.9, 
    1.8), `B-CC0` = c(2L, 2L), `B-CC1` = c(2.1, 2.2), `B-DIGDN` = c(2.2, 
    2.4), `B-DIGDP` = c(2.3, 2.6), `B-DN1` = c(2.4, 2.8), `B-DN2` = c(2.5, 
    3), `B-DP1` = c(2.6, 3.2), `B-DP2` = c(2.7, 3.4), `B-SCL` = c(2.8, 
    3.6), `B-SDA` = c(2.9, 3.8), `B-USB0DN` = 3:4, `B-USB0DP` = c(3.1, 
    4.2), `B-USB1DN` = c(3.2, 4.4), `B-USB1DP` = c(3.3, 4.6), 
    `B-ACC1` = c(3.4, 4.8), `B-ACC2` = c(3.5, 5), `B-ANA0` = c(3.6, 
    5.2), `B-ANA1` = c(3.7, 5.4), `B-BRICKID` = c(3.8, 5.6), 
    `B-CC0` = c(3.9, 5.8), `B-CC1` = c(4L, 6L), `B-DIGDN` = c(4.1, 
    6.2), `B-DIGDP` = c(4.2, 6.4), `B-DN1` = c(4.3, 6.6), `B-DN2` = c(4.4, 
    6.8), `B-DP1` = c(4.5, 7), `B-DP2` = c(4.6, 7.2), `B-SCL` = c(4.7, 
    7.4), `B-SDA` = c(4.8, 7.6), `B-USB0DN` = c(4.9, 7.8), `B-USB0DP` = c(5L, 
    8L), `B-USB1DN` = c(5.1, 8.2), `B-USB1DP` = c(5.2, 8.4), 
    `B-NA` = c(5.3, 8.6), `B-ACC2PWRLKG_0v4` = c(5.4, 8.8), `B-ACC2PWRLKG_0v4` = c(5.5, 
    9), `B-P_IN_Leak` = c(5.6, 9.2)), row.names = c(NA, -2L), class = "data.frame"))

我希望将上面数据帧中的A-更改为Z-，然后将列表中的另一个数据帧中的B-更改为P-。

我厌倦了下面的代码，但它似乎不起作用。对我怎么做有什么建议吗？

names(data$`A-DIODE`) <- "Z-DIODE"
names(data$`B-DIODE`) <- "P-DIODE"
....
....

Answer 1

您可以使用lapply()和stringi包中的一个向量化函数来进行替换。

library(stringi)

lapply(x0, function(x) {
    out <- stri_replace_all_regex(names(x), c("^A-", "^B-"), c("Z-", "P-"), vectorize_all = FALSE)
    names(x) <- out
    x
})

Answer 2

您可以使用lapply函数。lapply将允许您更改列表中每个dataframe的名称。

在上面的例子中，让我们将列表命名为数据。A和B是嵌套在列表中的数据格式。更改列表中dataframes中特定名称的列名

data=lapply(data,function(x){
names(x)[which(names(x)=="A-DIODE")]="Z-DIODE"
names(x)[which(names(x)=="B-DIODE")]="P-DIODE"
x
}
)