Question

我正在将一个excel文件导入R。我只想保留A列和C列而不是B列（列按顺序是A，B，C），但是下面的代码也保留了B列。我如何摆脱B列而不在另一行代码中子集化？

df <- read_excel("df.xlsm", "futsales", range = cell_cols(c("A","C")), na = " ")

Answer 1

通过浏览externnotify Want to run an external program whenever a caller leaves a voice mail message for a user? This is where the externnotify command comes in handy. Externnotify takes a string value which is the command line you want to execute when the caller finishes leaving a message. Note: see an example of an external notification script here. Note: This command will also run after a person who has logged into a mailbox exits the VoiceMailMain() application. (Remark: This seems not to be the case for Asterisk 1.2.x) The way it works is basically any time that somebody leaves a voicemail on the system (regardless of mailbox number), the command specified for externnotify is run with the arguments (in this order): context, extension, new voicemails, old voicemails and urgent voicemails. These arguments are passed to the program that you set in the externnotify variable.函数的文档，您必须给出一个范围，

read_excel

Answer 2

我刚刚这样做是为了成功读取27列的Excel文件的5列，因此这是如何对名称存储在x中的文件执行此操作，并且仅检索第一列和第三列，假设A列是文本，C列是数字：

library(tibble)
library(readxl)
df.temp <- as.tibble(read_excel(x,
              col_names=TRUE,                             
              col_types=c("text","skip","numeric")
)

Answer 3

您似乎无法在read_excel的range参数中指定多个范围。但是，您可以使用purrr中的map函数将read_excel应用于范围向量。在您的用例中，map_dfc会将A列和C列的选择绑定回一起到单个输出数据集中。

library(readxl)
library(purrr)

path <- readxl_example("datasets.xlsx")
ranges <- list("A", "C")
ranges %>% 
  purrr::map_dfc(
    ~ read_excel(
      path, 
      range = cell_cols(.))
  )

Answer 4

@MauritsEvers所说的其他选择是：

df <- read_excel("df.xlsm", "futsales")[,c(1,3)]

您要用所有数据制作一个矩阵，同时用所有行制作df（这就是[,的原因），只用第一个（“ A”）和第三（“ C”）列（这就是,c(1,3)]的原因）

将特定的列保留在read_excel中

4 个答案: