ncvar_get: Read data from a netCDF file

Description Usage Arguments Details Author(s) References See Also Examples

View source: R/ncdf4.R

Description

Reads data from an existing netCDF file.

Usage

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 ncvar_get(nc, varid=NA, start=NA, count=NA, verbose=FALSE,
 signedbyte=TRUE, collapse_degen=TRUE, raw_datavals=FALSE )

Arguments

nc

An object of class ncdf4 (as returned by either function nc_open or function nc_create), indicating what file to read from.

varid

What variable to read the data from. Can be a string with the name of the variable or an object of class ncvar4 If left unspecified, the function will determine if there is only one variable in the file and, if so, read from that. If left unspecified and there are multiple variables in the file, an error is generated. This argument can also, optionally, specify the name of a dimension (usually the unlimited dimension) in order to read values from a coordinate variable. Note this is not usual practice, because the ncdim object already contains all the dimension's values in the field named "vals". However, it can sometimes be faster to turn off this automatic reading of the unlimited dimension's values by using nc_open(filename, readunlim=FALSE), then read the dimension values in later with this function.

start

A vector of indices indicating where to start reading the passed values (beginning at 1). The length of this vector must equal the number of dimensions the variable has. Order is X-Y-Z-T (i.e., the time dimension is last). If not specified, reading starts at the beginning of the file (1,1,1,...).

count

A vector of integers indicating the count of values to read along each dimension (order is X-Y-Z-T). The length of this vector must equal the number of dimensions the variable has. If not specified and the variable does NOT have an unlimited dimension, the entire variable is read. As a special case, the value "-1" indicates that all entries along that dimension should be read.

verbose

If TRUE, then progress information is printed.

signedbyte

If TRUE (default), then on-disk byte variables are interpreted as signed. This is in accord with the netCDF standard. If FALSE, then on-disk byte variables are interpreted as unsigned.

collapse_degen

If TRUE (the default), then degenerate (length==1) dimensions in the returned array are removed.

raw_datavals

If TRUE, then the actual raw data values from the file are returned with no conversion to NA (if equal to the missing value/fill value) or scale/offset applied. Default is FALSE.

Details

This routine reads data values from a variable in an existing netCDF file. The file must already have been opened with a call to nc_open.

Returned values will be in ordinary R double precision if the netCDF variable type is float or double. Returned values will be in R's integer storage mode if the netCDF variable type is short or int. Returned values will be of character type if the netCDF variable is of character type.

Values of "NA" are supported; values in the data file that match the variable's missing value attribute are automatically converted to "NA" before being returned to the user. See ncvar_change_missval for more information.

Data in a netCDF file is conceived as being a multi-dimensional array. The number and length of dimensions is determined when the variable is created. The 'start' and 'count' indices that this routine takes indicate where the writing starts along each dimension, and the count of values along each dimension to write. Note that the special count value "-1" means "all the values along that dimension".

If the variable in the netCDF file has a scale and/or offset attribute defined, the returned data are automatically and silently scaled and/or offset as requested.

Author(s)

David W. Pierce dpierce@ucsd.edu

References

http://dwpierce.com/software

See Also

ncvar_put.

Examples

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# Start with the simplest example.  If the file only has one variable in it,
# you can read the data as easily as this:
#
nc <- nc_open("salinity.nc")
# NOTE how not specifying varid reads the "only" var in the file
data <- ncvar_get( nc )	
nc_close(nc)

# In this next example we read values from file "writevals.nc", which is created by
# the R code in the example section for function "ncvar_put".  We open the
# file with readunlim=FALSE for potentially faster access, and to illustrate
# (below) how to read in the unlimited dimension values.
#
nc <- nc_open( "writevals.nc", readunlim=FALSE )

print(paste("The file has",nc$nvars,"variables"))

# This illustrates how to read all the data from a variable
v1 <- nc$var[[1]]
data1 <- ncvar_get( nc, v1 )	# by default, reads ALL the data
print(paste("Data for var ",v1$name,":",sep=""))
print(data1)

# This shows how the shape of the read data is preserved
v2 <- nc$var[[2]]
data2 <- ncvar_get( nc, v2 )
print(paste("Var 2 has name",v2$name,"and is of shape",dim(data2),
	". Here are the values:"))
print(data2)

# This illustrates how to read data one timestep at a time.  In this
# example we will elaborately show how to deal with a variable whose
# shape is completely unknown (i.e., how many dimensions, and what their
# sizes are).  We will also, for illustration of a common case, show how
# to read in the values of the time dimension at each timestep.
v3      <- nc$var[[3]]
varsize <- v3$varsize
ndims   <- v3$ndims
nt      <- varsize[ndims]  # Remember timelike dim is always the LAST dimension!
for( i in 1:nt ) {
	# Initialize start and count to read one timestep of the variable.
	start <- rep(1,ndims)	# begin with start=(1,1,1,...,1)
	start[ndims] <- i	# change to start=(1,1,1,...,i) to read timestep i
	count <- varsize	# begin w/count=(nx,ny,nz,...,nt), reads entire var
	count[ndims] <- 1	# change to count=(nx,ny,nz,...,1) to read 1 tstep
	data3 <- ncvar_get( nc, v3, start=start, count=count )

	# Now read in the value of the timelike dimension
	timeval <- ncvar_get( nc, v3$dim[[ndims]]$name, start=i, count=1 )

	print(paste("Data for variable",v3$name,"at timestep",i,
		" (time value=",timeval,v3$dim[[ndims]]$units,"):"))
	print(data3)
	}

nc_close(nc)

ncdf4 documentation built on Oct. 30, 2019, 12:13 p.m.