Request for help about running a loop and reading .NC files
Hi,
Rolf is correct that you might consider enclosing your nc_open(...) with
try(nc_open(...)), and then testing if the value returned by try() inherits
from the "try-error" class. If there is no problem opening the NCDF file,
then it will return an "ncdf4" class object.
Also, you might isolate the file extraction stuff into a function to make
your life easier. Something like this (obviously not tested)...
### START
# extract data from a NCDF file
# @param filename the path and name of the file
# @return either NULL (for an exception) or a data.frame
extract_from_nc <- function(filename){
nc <- try(nc_open(filename))
if (inherits(nc, "try-error")){
# if it isn't a healthy NCDF file you will be here
x <- NULL
} else {
# otherwise you will be here and you can run your extraction
mean1 <- ...
...
x <- as.data.frame(mean_chl_df)
write.csv(x, ... other stuff here ...)
nc_close(nc)
}
return(x)
}
flist <- list.files(path ="NCFiles/", pattern = "^.*\\.(nc|NC|Nc|Nc)$",
full.names = TRUE)
xx <- lapply(flist, extract_from_nc)
ix <- sapply(xx, is.null) # find the NULLS
xx <- xx[!ix] # remove them (if any)
if (length(xx) > 0) x <- do.call(rbind, xx) # row bind what remains into
one data frame (in case that is helpful)
### END
I hope that helps.
Cheers,
Ben
On Mon, Mar 23, 2020 at 5:53 PM Bhaskar Mitra <bhaskar.kolkata at gmail.com>
wrote:
Hello Everyone,
I have written a loop which reads hundreds of .nc files
and extract information from each .nc file and
exports that corresponding information as a csv file.
The loop works fine until it encounters a .nc file which it cannot read
and the loop stops. I would appreciate if anyone can suggest how can I
modify
the loop, whereby the loop will continue to run by bypassing those
particular
files which it cannot read.
In the end I was also hoping to modify the loop such that it
will generate a report which will inform me which
files were not read by the loop. The codes are given below
Thanks,
Bhaskar Mitra
NAU
#_------------------------------------------------------------------
library(ncdf4)
library(reshape2)
library(dplyr)
library(stringr)
setwd("directory path")
Output <- "directory path"
flist <- list.files(path ="NCFiles/", pattern = "^.*\\.(nc|NC|Nc|Nc)$")
for (i in 1: length(flist))
{
nc <- nc_open(paste0("NCFiles/",flist[i]))
mean1 <- ncvar_get(nc,attributes(nc$dim)$names[3])
nc_close(nc)
mean_chl_df <- melt(mean1)
trial.table.df <-as.data.frame(mean_chl_df)
write.csv(trial.table.df,paste0(Output,"/",tools::file_path_sans_ext(flist[i]),".csv"))
}
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