根据文件名将 ID 向量分配给 R 中的数据框?

Assign an ID vector to a dataframe in R, based on filename?

简介:

我有一个目录,里面装满了来自传感器网络的数据。我想使用位于文件名中的每个传感器的序列号来创建一个 id 向量。 .

下面是一些示例文件名:

2017-07-18-32058-aqdata.csv

2017-07-18-32033-aqdata.csv

每个传感器的序列号都在时间戳之后,例如3205832033

这是我目前读取数据的方式:

## Load the necessary packages:
if (!require(plyr)){
    install.packages('plyr')
    library(plyr)
}

if (!require(dplyr)){
    install.packages('dplyr')
    library(dplyr)
}

## Define a function to read in a single file:
read.data <- function(file_path){
    df <- read.csv(file_path, header=TRUE, stringsAsFactors=FALSE)
    names(df)<-c("datetime", "co", "co2", "VOC", "RH","ugm3","temp")
    df$datetime <- strptime(df$datetime, format="%Y-%m-%d %H:%M")
    df$datetime <- as.POSIXct(df$datetime, format="%Y-%m-%d %H:%M:%S")
    return(df)
}

## Assign object 'file_path' to my target directory:
file_path <-"~/my_directory/"

## Generate a list of files within this directory:
file_list <- list.files(path = file_path, pattern="\.csv$", all.files=FALSE, full.names=TRUE, ignore.case=FALSE)

## Apply the data.read function to the list of files:
df_master <- dplyr::ldply(file_list, read.data)
df_master <- plyr::arrange(df_master, datetime)

如何利用每个文件名中的序列号在我的 read.data() 函数中创建相应的 ID 向量?

下面是一些示例数据:

df_example <- structure(list(datetime = structure(c(1497296520, 1497296580, 1497296640, 1497296700, 1497296760, 1497296820), class = c("POSIXct", "POSIXt"), tzone = ""), co = c(0, 0, 0, 0, 0, 0), co2 = c(1118L, 1508L, 836L, 620L, 529L, 498L), VOC = c(62.1353, 59.7594, 59.1831, 57.9592, 56.4335, 53.6528), RH = c(51.45, 52.18, 50.72, 49.71, 49.21, 48.51), ugm3 = c(2.601, 1.061, 1.901, 1.481, 2.501, 3.261), temp = c(72.27, 72.35, 72.45, 72.55, 72.67, 72.77)), .Names = c("datetime", "co", "co2", "VOC", "RH", "ugm3", "temp"), row.names = c(NA, 6L), class = "data.frame")

提前致谢!

这假设您的传感器编号都是 5+ 个数字,这有助于避免与日期混淆。使用 stringr:

library(stringr)

read.data <- function(file_path){
  df <- read.csv(file_path, header=TRUE, stringsAsFactors=FALSE)
  names(df)<-c("datetime", "co", "co2", "VOC", "RH","ugm3","temp")
  df$datetime <- strptime(df$datetime, format="%Y-%m-%d %H:%M")
  df$datetime <- as.POSIXct(df$datetime, format="%Y-%m-%d %H:%M:%S")

  # New code to pull in sensor number
  df$sensor <- str_extract(file_path, "[0-9]{5,}")
  return(df)
}