I need a solution for storing special characters like emojis, arabic or chinese characters in a csv. I tried the base write.csv, write.csv2 with the fileEncoding="UTF-8" parameter and the readr-function write_csv but nothing worked properly. The special characters are shown in R, so I guess there is a solution for storing them.
Example-Code:
df <- data.frame("x" = c("ö", "ä"),
"y" = c("مضر السامرائي", "🐇"))
write.csv(df, "~/TubeWork/data/test2.csv", fileEncoding = "UTF-8")
To check the results I use Excel and it looks as follows:
Maybe it's a problem of Excel, which can display the results correctly? If yes, how I should check if the characters are displayed correctly?
Is there maybe a solution to convert the characters to unicode and save it as unicode? This would be fine for me as well. But the best solution would be a csv with the special characters displayed.
Thank you in advance!
Windows 10 64-bit; R 4.2.1; RStudio 2022.12.0+353
Update!
If I read the exported csv back in R, all the Emojis are displayed correctly. So as you all wrote, Excel can't diplay the emojis and special character correctly. If I want the special characters character displayed in Excel, you should use readr:write_excel_csv() (Big Thanks to Ritchie Scramenta for the useful comment).
Once again: Problem solved!
Thank you!
Related
I have updated to the latest R release (R version 4.2.0), but I am now facing the problem that all the Swedish special letters cannot be read anymore. I am working with a database that has many Swedish letters in its factor lables and even if I am reading them in as strings R doesn't recognise them, with the consequence that all summary tables that are based on these factors as groups are not calculated correctly anymore. The code has been working fine under the previous release (but I had issues with knitting Rmarkdown files, therefore the need for updating).
I have set the encoding to iso-5889-4 (which is nothern languages) after UTF-8 has not worked. Is there anything else I could try? Or has anyone come to a solution on how to fix this, other than to rename all lables before reading in the .csv files? (I would really like to avoid this fix, since I am often working with similar data)
I have used read.csv() and it produces cryptic outputs replacing the special letters with for example <d6> instead of ö and <c4> instead of ä.
I hope that someone has an idea for a fix. Thanks.
edit: I use windows.
Sys.getlocale("LC_CTYPE")
[1] "Swedish_Sweden.utf8"
Use the encoding parameter
I have been able to detect failed loads by attempting to apply toupper to strings, which gives me errors such as
Error in toupper(dataset$column) :
invalid multibyte string 999751
This is resolved and expected outcomes obtained by using
read.csv(..., encoding = 'latin1')
or
data.table::fread(..., encoding = 'Latin-1')
I believe this solution should apply to Swedish characters as they are also covered by the Latin-1 encoding.
I have the same problem, what worked for me was like the answer above said but I used encoding ISO-8859-1 instead. It works for both reading from file and saving to file for Swedish characters å,ä,ö,Å,Ä,Ä, i.e:
read.csv("~/test.csv", fileEncoding = "ISO-8859-1")
and
write.csv2(x, file="test.csv", row.names = FALSE, na = "", fileEncoding = "ISO-8859-1")
It's tedious but it works right now. Another tip is if you use Rstudio is to go to Global options -> Code -> Saving and set your default text encoding to ISO-8859-1 and restart Rstudio. It will save and read your scripts in that encoding as default if I understand correctly. I had the problem when I opened my scripts with Swedish characters, they would display wrong characters. This solution fixed that.
I have a dataframe in R which has one row of utf-8 encoded special characters and one integer row.
If I display both rows, or go into the view(), I do not see the characters displayed correctly.
However, if I only select the row with the special characters, it works. Any ideas?
This is the output (if I paste it, the encoding disappears):
This looks like a bug in R. I've worked around a number of these in the corpus package. Try the following
library(corpus)
print.corpus_frame(WW_mapping[1:3,])
Alternatively, do
library(corpus)
class(WW_mapping) <- c("corpus_frame", "data.frame")
WW_mapping[1:3,]
Adding the "corpus_frame" class to the data frame changes the print and format methods; otherwise, it does not change the behavior of the object.
If that doesn't work, please report your sessionInfo() along with dput(WW_mapping). (Actually, even if this fix does work, please report this information so that we can let the R core developers know about the problem.)
I have one unicode (UTF-8) file with column delimiter as 'þ', I'm trying to read it using R csv reader as follows
data <- read.csv(file_name,,sep="þ",encoding="UTF-8")
in my data frame I'm getting everything in a single column, can someone correct me what I'm doing wrong here?
I think your script needs to be encoded as utf-8 too if you're using non-ascii characters.
Save your code in for example myfile.r and then
Try this:
source("myfile.r", encoding="utf-8")
hopefully your error will go away
my data frame has a column A with strings in character form
> df$A
[1] "2-60", "2-61", "2-62", "2-63" etc
I saved the table using write.csv, but when I open it with Excel column A appears formatted as date:
Feb-60
Feb-61
Feb-62
Feb-63
etc
Anyone knows what can I do to avoid this?
I tweaked the arguments of write.csv but nothing worked, and I can't seem to find an example in Stack Overflow that helps solve this problem.
As said in the comments, this is an excel behaviour, not R's. And that can't be deactivated:
Microsoft Excel is preprogrammed to make it easier to enter dates. For
example, 12/2 changes to 2-Dec. This is very frustrating when you
enter something that you don't want changed to a date. Unfortunately
there is no way to turn this off. But there are ways to get around it.
Microsoft Office Article
The first suggested way around it according to the article is not helpful, because it relies on changing the cell formatting, but that's too late when you open the .csv file in excel (it's already converted to an integer representing the date).
There is, however, a useful tip:
If you only have a few numbers to enter, you can stop Excel from
changing them into dates by entering:
An apostrophe (‘) before you enter a number, such as ’11-53 or ‘1/47. The apostrophe isn’t displayed in the cell after you press
Enter.
So you can make the data display as original by using
vec <- c("2-60", "2-61", "2-62", "2-63")
vec <- paste0("'", vec)
Just remember the values will still have the apostrophe if you read them again in R, so you might have to use
vec <- sub("'", "", vec)
This might not be ideal but at least it works.
One alternative is enclosing the text in =" ", as an excel formula, but that has the same end result and uses more characters.
Another solution - a bit tedious, Use Import Text File in Excel, click thru the dialog boxes and in Step 3 of 3 of the Text Import Wizard, you will have an option of setting the column data format, use "Text" for the column that has "2-60", "2-61", "2-62", "2-63". If you use General (the default), Excel tries to be smart and converts the answer for you.
I solved the problem by saving the file using the .xlsx format by using the function
write.xlsx()
from the package xlsx (https://www.rdocumentation.org/packages/xlsx/versions/0.6.5)
I try to open a UTF-8 encoded .csv file that contains (traditional) Chinese characters in R. For some reason, R displays the information sometimes as Chinese characters, sometimes as unicode characters.
For instance:
data <-read.csv("mydata.csv", encoding="UTF-8")
data
will produce unicode characters, while:
data <-read.csv("mydata.csv", encoding="UTF-8")
data[,1]
will actually display Chinese characters.
If I turn it into a matrix, it will also display Chinese characters, but if I try to look at the data (command View(data) or fix(data)) it is in unicode again.
I've asked for advice from people who use a Mac (I'm using a PC, Windows 7), and some of them got Chinese characters throughout, others didn't. I tried to save the original data as a table instead and read it into R this way - same result. I tried running the script in RStudio, Revolution R, and RGui. I tried to adjust the locale (e.g. to chinese), but either R didn't let me change it or else the result was gibberish instead of unicode characters.
My current locale is:
"LC_COLLATE=French_Switzerland.1252;LC_CTYPE=French_Switzerland.1252;LC_MONETARY=French_Switzerland.1252;LC_NUMERIC=C;LC_TIME=French_Switzerland.1252"
Any help to get R to consistently display Chinese characters would be greatly appreciated...
Not a bug, more a misunderstanding of the underlying type system conversions (the character type and the factor type) when constructing a data.frame.
You could start first with data <-read.csv("mydata.csv", encoding="UTF-8", stringsAsFactors=FALSE) which will make your Chinese characters to be of the character type and so by printing them out you should see waht you are expecting.
#nograpes: similarly x=c('中華民族');x; y <- data.frame(x, stringsAsFactors=FALSE) and everything should be ok.
In my case, the utf-8 encoding does not work in my r. But the Gb* encoding works.The utf8 wroks in ubuntu. First you need to figure out the default encoding in your OS. And encode it as it is. Excel can not encode it as utf8 properly even it claims that it save as utf8.
(1) Download 'Open Sheet' software.
(2) Open it properly. You can scroll the encoding method until you
see the Chinese character displayed in the preview windows.
(3) Save it as utf-8(if you want utf-8). (UTF-8 is not solution to every problem, you HAVE TO know the default encoding in your system first)