read.zoo 索引中的错误在数据第 2 行有错误的条目 [英] Error in read.zoo index has bad entry at data row 2

问题描述

当我使用以下 read.zoo 时，它一直很好，直到我添加了最后一行:(我的来源是CSV，但这里是复制格式):

When I use the following read.zoo it goes great until I added the last line: (my source is CSV, but here it is in a format for reproducing):

library(zoo)
 Lines <- "fdatetime,Consumption
    1,27/03/2015 01:00,0.04
    2,27/03/2015 02:00,0.04"


> z <- read.zoo(text = Lines, tz = "", format = "%d/%m/%Y %H:%M", sep = ",")
Error in read.zoo(text = Lines, tz = "", format = "%d/%m/%Y %H:%M", sep = ",") : 
  index has bad entry at data row 51

最后一行有什么问题?如果您删除最后一行，它将起作用！

What's wrong with the last line? If you delete the last line it will work!

> data.table::fread(file.choose(), verbose = TRUE)
Input contains no \n. Taking this to be a filename to open
File opened, filesize is 0.000001 GB.
Memory mapping ... ok
Detected eol as \r\n (CRLF) in that order, the Windows standard.
Positioned on line 1 after skip or autostart
This line is the autostart and not blank so searching up for the last non-blank ... line 1
Detecting sep ... ','
Detected 3 columns. Longest stretch was from line 2 to line 30
Starting data input on line 2 (either column names or first row of data). First 10 characters: 1,25/03/20
Some fields on line 2 are not type character (or are empty). Treating as a data row and using default column names.
Count of eol: 51 (including 0 at the end)
Count of sep: 102
nrow = MIN( nsep [102] / ncol [3] -1, neol [51] - nblank [0] ) = 51
Type codes (   first 5 rows): 143
Type codes (+ middle 5 rows): 143
Type codes (+   last 5 rows): 143
Type codes: 143 (after applying colClasses and integer64)
Type codes: 143 (after applying drop or select (if supplied)
Allocating 3 column slots (3 - 0 dropped)
Read 51 rows. Exactly what was estimated and allocated up front
   0.000s (  0%) Memory map (rerun may be quicker)
   0.000s (  0%) sep and header detection
   0.000s (  0%) Count rows (wc -l)
   0.001s (100%) Column type detection (first, middle and last 5 rows)
   0.000s (  0%) Allocation of 51x3 result (xMB) in RAM
   0.000s (  0%) Reading data
   0.000s (  0%) Allocation for type bumps (if any), including gc time if triggered
   0.000s (  0%) Coercing data already read in type bumps (if any)
   0.000s (  0%) Changing na.strings to NA
   0.001s        Total

推荐答案

感谢 @Henrik，解决方法是指定tz，如下:

Thanks to @Henrik, The solution for it is to specify tz, as followed:

z<-read.zoo(ts1, tz = "UTC", format = "%d/%m/%Y %H:%M", sep = ",")

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