讀取多個 CSV 文件作為 R 中的數據幀

Question

我一直在竭盡全力想弄清楚這個問題，我已經閱讀了很多博客並嘗試了不同的方法，但我仍然遇到同樣的錯誤，而且我不明白我的代碼有什么問題。我正在嘗試拉幾個csv 文件一次全部放入 R，我不斷收到以下錯誤。

No such file or directoryError in file(file, "rt"): cannot open the connection

`Tea_ONE <- "~/Desktop/Circadian Rhythms 
   Sem/Project/Tea_Party_ONE/Tea_Party_ONE_Lumicycle_data/"

      files <- list.files(path = Tea_ONE, pattern = ".csv$")

 for(i in 1:length(files)){
     assign(files[i],
     read.csv(paste(Tea_ONE, files[i], header = T, skip = 1)))
  }`

所有 CSV 文件都位於 Tea_Party_ONE_Lumicycle_data 中。

謝謝你的幫助

Answer 1

有很多方法！

setwd("C:/your_path_here")
fnames <- list.files()
csv <- lapply(fnames, read.csv)
result <- do.call(rbind, csv)


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filedir <- setwd("C:/your_path_here")
file_names <- dir(filedir)
your_data_frame <- do.call(rbind,lapply(file_names,read.csv))


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filedir <- setwd("C:/your_path_here")
file_names <- dir(filedir)
your_data_frame <- do.call(rbind, lapply(file_names, read.csv, skip = 1, header = FALSE))


********  ********  ********  ********  ********  ********  ********  ********  ********  ********  


filedir <- setwd("C:/your_path_here")
file_names <- dir(filedir)
your_data_frame <- do.call(rbind, lapply(file_names, read.csv, header = FALSE))


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# 
temp <- setwd("C:/your_path_here")
temp = list.files(pattern="*.csv")
myfiles = lapply(temp, read.delim)


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# Here is another options to convert the .csv files into one data.frame. Using R base functions. 
# This is order of magnitude slower than the options below.

files <- setwd("C:/your_path_here")
# Get the files names
files = list.files(pattern="*.csv")
# First apply read.csv, then rbind
myfiles = do.call(rbind, lapply(files, function(x) read.csv(x, stringsAsFactors = FALSE)))

library(readr)
library(dplyr)
tbl = lapply(files, read_csv) %>% bind_rows()


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# LIST OF FILE PATHS

library(readr)
library(stringr)

List_of_file_paths <- list.files(path ="C:/your_path_here/", pattern = ".csv", all.files = TRUE, full.names = TRUE)


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# LIST OF FILES IN FOLDER
xlist<-list.files(pattern = "*.csv")

for(i in xlist) { 
  x <- read.csv((i))
  assign(i, x)
    }


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Answer 2

正如評論中提到的那樣，問題在於paste正在添加空格分隔符。 您可以使用paste0 ，也可以只獲取完整的路徑名。

library('tidyverse')

files <- list.files(path = Tea_ONE, pattern = '.csv$', full.names = T) %>%
  map(read_csv, skip = 1)

Answer 3

purrr package 使用 map_dfr function

library(purrr) 

列出目錄下所有以csv結尾的文件

csv_files = list.files(path = 'data/folder/', pattern = "csv$", full.names = TRUE)

讀取csv個文件，放入dataframe

data_stacked <- map_dfr(csv_files, read_csv)