将df.1，df.2，df.3 ... df.x合并到一个数据帧中 [英] Merging df.1, df.2, df.3 ... df.x into one dataframe

问题描述

我正在处理从一个给定文件夹导入所有csv文件并将它们合并到一个文件中的项目。我可以从文件夹中的每个文件导入我想要的行和列，但现在需要帮助将它们全部合并到一个文件中。我不知道最终会有多少文件（大概在120左右），所以我不想把它们合并1。

这是我有的到目前为止：

 ＃导入所有文件
 rowsToUse < -  c（9：104,657：752）
 colsToUse<  -  c（15,27,28,29,30,33,35）
文件名<  -  list.files（save，pattern =*。csv，full.names = TRUE ）
 for（i in seq_along（filenames））{
 assign（paste（df，i，sep =。），read.csv（filenames [i]）[！is.na （30），] [rowsToUse，colsToUse]）
} 
 
＃合并到一个文件
 for（i in seq_along（filenames））{
 df < rbind（df。[i]）
} 
  

代码的第一部分创建一个一系列数据框架标注df.1，df.2等。我希望他们最终在一个名为df的最终数据框中。所有文件的结构相同。

如果有人需要额外的几分钟，我真的很感激一些帮助！谢谢！

解决方案

由于您已经阅读过这些文件，您可以尝试以下操作：

  do.call（rbind，mget（ls（pattern =df）））
  

ls（pattern = df）应该捕获你所有的df.1，df.2 ， 等等。希望你没有其他以相同模式命名的东西，但是如果你这样做，则尝试使用更严格的模式，直到命令列出你的 data.frame s。 p>

mget（）将所有这些都纳入列表您可以使用 do.call（rbind，...）。

I am working on a project that imports all csv files from a given folder and merges them into one file. I was able to import the rows and columns I wanted from each of the files from the folder but now need help merging them all into one file. I do not know how many files I will eventually end up with (probably around 120) so I do not want to merge them 1 by 1.

Here is what I have so far:

 # Import All files
 rowsToUse <- c(9:104,657:752)
 colsToUse <- c(15,27,28,29,30,33,35)
 filenames <- list.files("save", pattern="*.csv", full.names=TRUE)
 for (i in seq_along(filenames)) {
   assign(paste("df", i, sep = "."), read.csv(filenames[i])[!is.na(30),][rowsToUse,colsToUse])
 }

 # Merge into one file
 for (i in seq_along(filenames)) {
   df<-rbind(df.[i])
 }

The first part of the code creates a series of dataframes labled df.1, df.2, etc. I would like them to end up in one final dataframe called df. All files are identical in structure.

I would really appreciate some help if someone has a few extra minutes! Thank you!

解决方案

Since you have already read the files in, you can try the following:

do.call(rbind, mget(ls(pattern = "df")))

The ls(pattern = df) should capture all of your "df.1", "df.2", and so on. Hopefully you don't have other things named with the same pattern, but if you do, experiment with a stricter pattern until the command lists just your data.frames.

mget() will bring all of these into a list on which you can use do.call(rbind, ...).

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