CODEWITHSUNDEEP
rtime-seriesxts
gaurav kumar
gaurav kumar

Reputation: 899

Adding column names in XTS and changing dates in XTS

The xts looks like:

An ‘xts’ object on 1970-01-02 05:30:00/1976-03-29 05:30:00 containing:
  Data: num [1:2279, 1] 0.295 0.316 0.315 0.301 0.292 ...
 - attr(*, "dimnames")=List of 2
  ..$ : NULL
  ..$ : NULL
  Indexed by objects of class: [POSIXct,POSIXt] TZ: 
  Original class: 'double'  
  xts Attributes: NULL

This XTS is generated through another code and does not have column names as shown by 

dimnames(cor_BG_xts)
[[1]]
NULL
[[2]]
NULL
colnames(cor_BG_xts)
NULL

How can one add column names to xts. I tried searing stack overflow but I get the solutions for data.frame instead of xts. Do, I need to first convert it to df and then name the columns. Also, the xts takes the dates like 1970-01-02 05:30:00. How can one change the xts say 12/1/2009 12:00:00.

Upvotes: 2

Views: 8106

Answers (1)

phiver
phiver

Reputation: 23598

Let's first create a reproducible example:

library(xts)

dates <- seq.Date(as.Date("2018-11-19"), as.Date("2018-11-23"), by = "day")
numbers <- 1:5

my_xts <- xts(numbers, dates)
my_xts
                    [,1]
2018-11-19 05:30:00    1
2018-11-20 05:30:00    2
2018-11-21 05:30:00    3
2018-11-22 05:30:00    4
2018-11-23 05:30:00    5

Now setting (renaming) a column name is not difficult, either use names, colnames, or setNames.

names(my_xts) <- "new_column_name"
# setNames / colnames works as well.
# my_xts <- setNames(my_xts, "new_column_name")
# colnames(my_xts) <- "new_column_name"
# 
my_xts
                    new_column_name
2018-11-19 05:30:00               1
2018-11-20 05:30:00               2
2018-11-21 05:30:00               3
2018-11-22 05:30:00               4
2018-11-23 05:30:00               5

Changing the index format, use indexFormat. You can use any date time format that is mentioned in the details of ?strptime.

indexFormat(my_xts) <- "%d/%m/%Y %H:%M:%S"
my_xts
                    new_column_name
19/11/2018 05:30:00               1
20/11/2018 05:30:00               2
21/11/2018 05:30:00               3
22/11/2018 05:30:00               4
23/11/2018 05:30:00               5

Upvotes: 3

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