R read.csv“比列名更多的列”错误 [英] R read.csv "More columns than column names" error

问题描述

将 .csv 文件导入R时出现问题。我的代码：

I have a problem when importing .csv file into R. With my code:

t <- read.csv("C:\\N0_07312014.CSV", na.string=c("","null","NaN","X"),
          header=T, stringsAsFactors=FALSE,check.names=F)

R报告错误并且没有做我想要的：

R reports an error and does not do what I want:

Error in read.table(file = file, header = header, sep = sep, quote = quote,  : 
  more columns than column names

我想问题是因为我的数据格式不正确。我只需要来自 [，1：32] 的数据。所有其他数据都应删除。

I guess the problem is because my data is not well formatted. I only need data from [,1:32]. All others should be deleted.

数据可以从以下网址下载：
https：// drive。 google.com/file/d/0B86_a8ltyoL3VXJYM3NVdmNPMUU/edit?usp=sharing

Data can be downloaded from: https://drive.google.com/file/d/0B86_a8ltyoL3VXJYM3NVdmNPMUU/edit?usp=sharing

非常感谢！

推荐答案

这是一个不稳定的CSV f ile。多个标题被抛出（尝试将其粘贴到 CSV指纹）以了解我的意思。

That's one wonky CSV file. Multiple headers tossed about (try pasting it to CSV Fingerprint) to see what I mean.

由于我不知道数据，因此不可能确定以下内容为您生成准确的结果，但它涉及使用 readLines 和其他R函数预处理文本：

Since I don't know the data, it's impossible to be sure the following produces accurate results for you, but it involves using readLines and other R functions to pre-process the text:

# use readLines to get the data
dat <- readLines("N0_07312014.CSV")

# i had to do this to fix grep errors
Sys.setlocale('LC_ALL','C')

# filter out the repeating, and wonky headers
dat_2 <- grep("Node Name,RTC_date", dat, invert=TRUE, value=TRUE)

# turn that vector into a text connection for read.csv
dat_3 <- read.csv(textConnection(paste0(dat_2, collapse="\n")),
                  header=FALSE, stringsAsFactors=FALSE)

str(dat_3)
## 'data.frame':    308 obs. of  37 variables:
##  $ V1 : chr  "Node 0" "Node 0" "Node 0" "Node 0" ...
##  $ V2 : chr  "07/31/2014" "07/31/2014" "07/31/2014" "07/31/2014" ...
##  $ V3 : chr  "08:58:18" "08:59:22" "08:59:37" "09:00:06" ...
##  $ V4 : chr  "" "" "" "" ...
## .. more
##  $ V36: chr  "" "" "" "" ...
##  $ V37: chr  "0" "0" "0" "0" ...

# grab the headers
headers <- strsplit(dat[1], ",")[[1]]

# how many of them are there?
length(headers)
## [1] 32

# limit it to the 32 columns you want (Which matches)
dat_4 <- dat_3[,1:32]

# and add the headers
colnames(dat_4) <- headers

str(dat_4)
## 'data.frame':    308 obs. of  32 variables:
##  $ Node Name         : chr  "Node 0" "Node 0" "Node 0" "Node 0" ...
##  $ RTC_date          : chr  "07/31/2014" "07/31/2014" "07/31/2014" "07/31/2014" ...
##  $ RTC_time          : chr  "08:58:18" "08:59:22" "08:59:37" "09:00:06" ...
##  $ N1 Bat (VDC)      : chr  "" "" "" "" ...
##  $ N1 Shinyei (ug/m3): chr  "" "" "0.23" "null" ...
##  $ N1 CC (ppb)       : chr  "" "" "null" "null" ...
##  $ N1 Aeroq (ppm)    : chr  "" "" "null" "null" ...
## ... continues

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