This example shows how to read data from a Scientific Data Set in an HDF4 file, using the functions in the matlat.io.hdf4.sd
package. In HDF4 terminology, the numeric arrays stored in HDF4 files are called data sets.
Add the matlab.io.hdf4.*
path to the import list.
import matlab.io.hdf4.*
Subsequent calls to functions in the matlat.io.hdf4.sd
package need only be prefixed with sd
, rather than the entire package path.
Open the example HDF4 file, sd.hdf
, and specify read access, using the matlab.io.hdf4.sd.start
function. This function corresponds to the SD API routine, SDstart
.
sdID = sd.start('sd.hdf','read');
sd.start
returns an HDF4 SD file identifier, sdID
.
Get the number of data sets and global attributes in the file, using the matlab.io.hdf4.sd.fileInfo
function. This function corresponds to the SD API routine, SDfileinfo
.
[ndatasets,ngatts] = sd.fileInfo(sdID)
ndatasets = 4
ngatts = 1
The file, sd.hdf
, contains four data sets and one global attribute,
Get the contents of the first global attribute. HDF4 uses zero-based indexing, so an index value of 0 specifies the first index.
HDF4 files can optionally include information, called attributes, that describes the data that the file contains. Attributes associated with an entire HDF4 file are global attributes. Attributes associated with a data set are local attributes.
attr = sd.readAttr(sdID,0)
attr = '02-Sep-2010 11:13:16'
Determine the index number of the data set named temperature
. Then, get the identifier of that data set.
idx = sd.nameToIndex(sdID,'temperature');
sdsID = sd.select(sdID,idx);
sd.select
returns an HDF4 SD data set identifier, sdsID
.
Get information about the data set identified by sdsID
using the matlab.io.hdf4.sd.getInfo
function. This function corresponds to the SD API routine, SDgetinfo
.
[name,dims,datatype,nattrs] = sd.getInfo(sdsID)
name = 'temperature'
dims = 1×2
20 10
datatype = 'double'
nattrs = 11
sd.getInfo
returns information about the name, size, data type, and number of attributes of the data set.
Read the entire contents of the data set specified by the data set identifier, sdsID
.
data = sd.readData(sdsID);
Read a 2-by-4 portion of the data set, starting from the first column in the second row. Use the matlab.io.hdf4.sd.readData
function, which corresponds to the SD API routine, SDreaddata
. The start
input is a vector of index values specifying the location in the data set where you want to start reading data. The count
input is a vector specifying the number of elements to read along each data set dimension.
start = [0 1]; count = [2 4]; data2 = sd.readData(sdsID,start,count)
data2 = 2×4
21 41 61 81
22 42 62 82
Close access to the data set, using the matlab.io.hdf4.sd.endAccess
function. This function corresponds to the SD API routine, SDendaccess
. You must close access to all the data sets in and HDF4 file before closing the file.
sd.endAccess(sdsID)
Close the HDF4 file using the matlab.io.hdf4.sd.close
function. This function corresponds to the SD API routine, SDend
.
sd.close(sdID)
sd.close
| sd.endAccess
| sd.fileInfo
| sd.getInfo
| sd.readData
| sd.start