无法读取带r的csv文件

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我有一个csv文件,看起来像:

,,,,,,,,
,,,,a,b,c,d,e
,,,"01.01.2022, 00:00 - 01:00",82.7,57.98,0.0,0.0,0.0
,,,"01.01.2022, 01:00 - 02:00",87.6,50.05,15.0,25.570000000000004,383.55000000000007
,,,"01.01.2022, 02:00 - 03:00",87.6,41.33,0.0,0.0,0.0

首先导入header,然后导入data,最后将header插入到data

表名中
file <- "path"
pnl <- read.csv(file, dec = ",")  #, skip = 1, header = TRUE)
headers <- read.csv(file, skip = 1, header = F, nrows = 1, as.is = T)
df  <- read.csv(file, skip = 2, header = F, as.is = T)
#or this
#df <- read.csv(file, skip = 2, header = F, nrow = 1,dec = ".",sep=",", quote = """)
colnames(df) <- headers

当导入标题时,我有多个列与标题条目。但是,在导入表时,所有条目都放在一个列中,与csv文件中一样(应该是多个列)。我如何解决它与read.csv()函数?

像这样?

data.table::fread(',,,,,,,,
,,,,a,b,c,d,e
,,,"01.01.2022, 00:00 - 01:00",82.7,57.98,0.0,0.0,0.0
,,,"01.01.2022, 01:00 - 02:00",87.6,50.05,15.0,25.570000000000004,383.55000000000007
,,,"01.01.2022, 02:00 - 03:00",87.6,41.33,0.0,0.0,0.0', 
skip = 1)
V1 V2 V3                        V4    a     b  c     d      e
1: NA NA NA 01.01.2022, 00:00 - 01:00 82.7 57.98  0  0.00   0.00
2: NA NA NA 01.01.2022, 01:00 - 02:00 87.6 50.05 15 25.57 383.55
3: NA NA NA 01.01.2022, 02:00 - 03:00 87.6 41.33  0  0.00   0.00

不使用任何库:


colClasses <- c("NULL", "NULL", "NULL", "character", "numeric", "numeric", "numeric", "numeric")
read.csv(file, header = TRUE, skip = 1, colClasses = colClasses)
#                         X.3    a     b  c     d
# 1 01.01.2022, 00:00 - 01:00 82.7 57.98  0  0.00
# 2 01.01.2022, 01:00 - 02:00 87.6 50.05 15 25.57
# 3 01.01.2022, 02:00 - 03:00 87.6 41.33  0  0.00

您将需要重命名第一列。

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