Parsing "back" to API strcuture
Problem solved by Josh O'Brien on stackoverflow, http://stackoverflow.com/questions/12393004/parsing-back-to-messy-api-strcuture/12435389#12435389 some_magic <- function(df) { ## Replace NA with "", converting column types as needed df[] <- lapply(df, function(X) { if(any(is.na(X))) {X[is.na(X)] <- ""; X} else {X} }) ## Print integers in first column as 2-digit character strings ## (DO NOTE: Hardwiring the number of printed digits here is probably ## inadvisable, though needed to _exactly_ reconstitute RAW.API.) df[[1]] <- sprintf("%02.0f", df[[1]]) ## Separately build header and table body, then suture them together l1 <- paste(names(df), collapse=",") l2 <- capture.output(write.table(df, sep=",", col.names=FALSE, row.names=FALSE)) out <- paste0(c(l1, l2, ""), collapse="\n") ## Reattach attributes att <- list("`Content-Type`" = structure(c("text/html", "utf-8"), .Names = c("", "charset"))) attributes(out) <- att out } identical(some_magic(df), RAW.API) # [1] TRUE
On Thu, Sep 13, 2012 at 11:32 AM, Eric Fail <eric.fail at gmx.us> wrote:
Dear Jim,
Thank you for your response I appreciate your effort!
It is close, I must admit that. What I am looking for is an object
that is identical to 'RAW.API,' or at least in the stricture (I guess
i do not need the ","`Content-Type`" = structure(c("text/html",
"utf-8"), .Names = c("",
"charset")))" part.
When I investigate 'x.out' it also have the NA's. I've tried to fix
it, but I had to give up. It is strange because getting there seems so
easy (warning false logic!).
Here is what I got on my looong and alternative route in the hope that
someone on the list might be able to help
RAW.API <- structure("id,event_arm,name,dob,pushed_text,pushed_calc,complete\n\"01\",\"event_1_arm_1\",\"John\",\"1979-05-01\",\"\",\"\",2\n\"01\",\"event_2_arm_1\",\"John\",\"2012-09-02\",\"abc\",\"123\",1\n\"01\",\"event_3_arm_1\",\"John\",\"2012-09-10\",\"\",\"\",2\n\"02\",\"event_1_arm_1\",\"Mary\",\"1951-09-10\",\"def\",\"456\",2\n\"02\",\"event_2_arm_1\",\"Mary\",\"1978-09-12\",\"\",\"\",2\n",
"`Content-Type`" = structure(c("text/html", "utf-8"), .Names =
c("","charset")))
# I used an alternative way of converting it to a dataset to keep the
leading 0 in the id variables
x <- read.table(file = textConnection(RAW.API ), header = TRUE, sep =
",", na.strings = "", stringsAsFactors = FALSE, colClasses ="character")
x
# now put it back into the same string; write.csv does quote alphanumerics
write.csv(x, textConnection('output', 'w'), row.names = FALSE)
unlockBinding("output", env = .GlobalEnv)
# fixes the problem with the header
output[1] <- gsub("\\\"", "", output[1])
# removes NAs
output <- gsub("NA", "\"\"", output)
# removes "\ at the beginning of each line
output <- gsub("^\\\"", "", output)
# removes an " at the end of each line
output <- gsub("\\\"$", "", output)
# same as before
x.out <- paste(output, collapse = '\n\"')
# adds an line break at the end
x.out <- gsub("$", "\n", x.out)
# so much manual gsub ...
Any help would be very much appreciated.
On Wed, Sep 12, 2012 at 5:54 PM, jim holtman <jholtman at gmail.com> wrote:
This is close, but it does quote the header names, but does produce the same dataframe when read back in:
RAW.API <- structure("id,event_arm,name,dob,pushed_text,pushed_calc,complete\n\"01\",\"event_1_arm_1\",\"John\",\"1979-05-01\",\"\",\"\",2\n\"01\",\"event_2_arm_1\",\"John\",\"2012-09-02\",\"abc\",\"123\",1\n\"01\",\"event_3_arm_1\",\"John\",\"2012-09-10\",\"\",\"\",2\n\"02\",\"event_1_arm_1\",\"Mary\",\"1951-09-10\",\"def\",\"456\",2\n\"02\",\"event_2_arm_1\",\"Mary\",\"1978-09-12\",\"\",\"\",2\n", "`Content-Type`" = structure(c("text/html", "utf-8"), .Names = c("", "charset")))
x <- read.csv(textConnection(RAW.API), as.is = TRUE)
x
id event_arm name dob pushed_text pushed_calc complete 1 1 event_1_arm_1 John 1979-05-01 NA 2 2 1 event_2_arm_1 John 2012-09-02 abc 123 1 3 1 event_3_arm_1 John 2012-09-10 NA 2 4 2 event_1_arm_1 Mary 1951-09-10 def 456 2 5 2 event_2_arm_1 Mary 1978-09-12 NA 2
# now put it back into the same string; write.csv does quote alphanumerics
write.csv(x, textConnection('output', 'w'), row.names = FALSE)
x.out <- paste(output, collapse = '\n')
# read it back in to show it is the same
x.in <- read.csv(textConnection(x.out), as.is = TRUE)
x.in
id event_arm name dob pushed_text pushed_calc complete 1 1 event_1_arm_1 John 1979-05-01 NA 2 2 1 event_2_arm_1 John 2012-09-02 abc 123 1 3 1 event_3_arm_1 John 2012-09-10 NA 2 4 2 event_1_arm_1 Mary 1951-09-10 def 456 2 5 2 event_2_arm_1 Mary 1978-09-12 NA 2
On Wed, Sep 12, 2012 at 8:21 PM, Eric Fail <eric.fail at gmx.us> wrote:
Dear R experts, I'm reading data from an online database via API and it gets delivered in this messy comma separated structure,
RAW.API <- structure("id,event_arm,name,dob,pushed_text,pushed_calc,complete\n\"01\",\"event_1_arm_1\",\"John\",\"1979-05-01\",\"\",\"\",2\n\"01\",\"event_2_arm_1\",\"John\",\"2012-09-02\",\"abc\",\"123\",1\n\"01\",\"event_3_arm_1\",\"John\",\"2012-09-10\",\"\",\"\",2\n\"02\",\"event_1_arm_1\",\"Mary\",\"1951-09-10\",\"def\",\"456\",2\n\"02\",\"event_2_arm_1\",\"Mary\",\"1978-09-12\",\"\",\"\",2\n", "`Content-Type`" = structure(c("text/html", "utf-8"), .Names = c("", "charset")))
I have this script that nicely parses it into a data frame,
(df <- read.table(file = textConnection(RAW.API), header = TRUE,
sep = ",", na.strings = "", stringsAsFactors = FALSE))
id event_arm name dob pushed_text pushed_calc complete 1 1 event_1_arm_1 John 1979-05-01 <NA> NA 2 2 1 event_2_arm_1 John 2012-09-02 abc 123 1 3 1 event_3_arm_1 John 2012-09-10 <NA> NA 2 4 2 event_1_arm_1 Mary 1951-09-10 def 456 2 5 2 event_2_arm_1 Mary 1978-09-12 <NA> NA 2
I then do some calculations and write them to pushed_text and pushed_calc whereafter I need to format the data back to the messy comma separated structure it came in. I imagine something like this,
API.back <- `some magic command`(df, ...)
identical(RAW.API, API.back) [1] TRUE
Some command that can format my data from the data frame I made, df, back to the structure that the raw API-object came in, RAW.API. Any help would be appreciated. Thanks for reading. Eric
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