[英]Filter rows based on one column from a list of dataframes
我有多個數據框的列表,我想通過每個數據框的一列中的某些值過濾列表中的這些數據框。 列表中的每個數據框都有一個名為v1的列,其中包含特殊字符++、-> ,現在我只想過濾列表中每個數據框中具有此箭頭 (->)的行。 這是我的數據框示例,
dput(df)
df1 <- structure(list(v1 = c("->", "++", "->"),
t2 = c("James","Jane", "Egg")),
class = "data.frame", row.names = c(NA, -3L))
dput(df2)
df2 <- structure(list(v1 = c("++", "->", "->"),
t2 = c("James","Jane", "Egg")),
class = "data.frame", row.names = c(NA, -3L))
dput(df3)
df3 <- structure(list(v1 = c("++", "++", "->"),
t2 = c("James","Jane", "Egg"),
d3...c = c("James","Jane", "Egg")),
class = "data.frame", row.names = c(NA, -3L))
我已經嘗試過了,但我沒有得到過濾行的數據框
idx = "->"
dfs <- list(df1,df2,df3)
lapply(dfs, function(x) x$v1 %in% idx)
有人幫助
idx <- "->"
# Base R
lapply(dfs, function(df) df[df$v1 == "->",])
lapply(dfs, function(df) df[df$v1 %in% idx,])
# tidyverse
library("purrr")
library("dplyr")
map(dfs, filter, v1 == "->")
map(dfs, filter, v1 %in% !! idx)
嘗試這個:
idx <- "->"
fnct <- function(df){df <- df[df$v1 %in% idx, ]}
df1_idx <- fnct(df1)
df2_idx <- fnct(df2)
df3_idx <- fnct(df3)
dfs <- list(df1_idx, df2_idx, df3_idx)
dfs
結果:
[[1]]
v1 t2
1 -> James
3 -> Egg
[[2]]
v1 t2
2 -> Jane
3 -> Egg
[[3]]
v1 t2 d3...c
3 -> Egg Egg
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