Object
hdf.object.HObject
hdf.object.Dataset
hdf.object.ScalarDS
hdf.object.fits.FitsDataset
- All Implemented Interfaces:
DataFormat
,MetaDataContainer
,Serializable
FitsDataset describes an multi-dimension array of HDF5 scalar or atomic data types, such as byte, int,
short, long, float, double and string, and operations performed on the scalar dataset
The library predefines a modest number of datatypes. For details, read
HDF5 Datatypes in HDF5 User
Guide
- Version:
- 1.1 9/4/2007
- Author:
- Peter X. Cao
- See Also:
-
Field Summary
Fields inherited from class hdf.object.ScalarDS
fillValue, imageDataRange, interlace, INTERLACE_LINE, INTERLACE_PIXEL, INTERLACE_PLANE, isDefaultImageOrder, isFillValueConverted, isImageDisplay, isTrueColor, palette, unsignedConverted
Fields inherited from class hdf.object.Dataset
chunkSize, compression, COMPRESSION_GZIP_TXT, convertByteToString, convertedBuf, data, datatype, dimNames, dims, filters, inited, isDataLoaded, isImage, isNULL, isScalar, isText, maxDims, nPoints, originalBuf, rank, selectedDims, selectedIndex, selectedStride, space_type, startDims, storage, storageLayout
Fields inherited from class hdf.object.HObject
fileFormat, linkTargetObjName, oid, SEPARATOR
-
Constructor Summary
ConstructorDescriptionFitsDataset
(FileFormat fileFormat, nom.tam.fits.BasicHDU hdu, String dName, long[] oid) Constructs an FitsDataset object with specific netcdf variable. -
Method Summary
Modifier and TypeMethodDescriptionvoid
close
(long did) Closes access to the object.Creates a new dataset and writes the data buffer to the new dataset.static FitsDataset
create
(String name, Group pgroup, Datatype type, long[] dims, long[] maxdims, long[] chunks, int gzip, Object data) Creates a new dataset.Returns the datatype of the data object.Retrieves the object's metadata, such as attributes, from the file.getMetadata
(int... attrPropList) Retrieves the object's metadata, such as attributes, from the file.boolean
Check if the object has any attributes attached.void
init()
Set the initial state of all the variableslong
open()
Opens an existing object such as a dataset or group for access.read()
Reads the data from file.byte[]
Reads the raw data of the dataset from file to a byte array.void
removeMetadata
(Object info) Deletes an existing piece of metadata from this object.void
Sets the name of the object.void
updateMetadata
(Object info) Updates an existing piece of metadata attached to this object.void
Writes a memory buffer to the object in the file.void
writeMetadata
(Object info) Writes a specific piece of metadata (such as an attribute) into the file.Methods inherited from class hdf.object.ScalarDS
addFilteredImageValue, clearData, convertFromUnsignedC, convertToUnsignedC, getFillValue, getFilteredImageValues, getImageDataRange, getInterlace, getNumberOfPalettes, getPalette, getPaletteName, isDefaultImageOrder, isImage, isImageDisplay, isTrueColor, readPalette, setImageDataRange, setIsImage, setIsImageDisplay, setPalette
Methods inherited from class hdf.object.Dataset
byteToString, clear, convertFromUnsignedC, convertFromUnsignedC, convertToUnsignedC, convertToUnsignedC, getChunkSize, getCompression, getConvertByteToString, getData, getDepth, getDimNames, getDims, getFilters, getHeight, getMaxDims, getOriginalClass, getRank, getSelectedDims, getSelectedIndex, getSize, getSpaceType, getStartDims, getStorage, getStorageLayout, getStride, getVirtualFilename, getVirtualMaps, getWidth, isInited, isNULL, isScalar, isString, isVirtual, refreshData, resetSelection, setConvertByteToString, setData, stringToByte, toString, toString, toString, write
Methods inherited from class hdf.object.HObject
createFullname, debug, equals, equals, equalsOID, getFID, getFile, getFileFormat, getFullName, getLinkTargetObjName, getName, getOID, getPath, hashCode, setFullname, setLinkTargetObjName, setPath, toString
Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
Methods inherited from interface hdf.object.MetaDataContainer
clear
-
Constructor Details
-
FitsDataset
Constructs an FitsDataset object with specific netcdf variable.- Parameters:
fileFormat
- the netcdf file.hdu
- the BasicHDU.dName
- the name for this dataset.oid
- the unique identifier for this dataset.
-
-
Method Details
-
hasAttribute
Check if the object has any attributes attached.- Specified by:
hasAttribute
in interfaceMetaDataContainer
- Returns:
- true if it has any attributes, false otherwise.
-
copy
Description copied from class:Dataset
Creates a new dataset and writes the data buffer to the new dataset. This function allows applications to create a new dataset for a given data buffer. For example, users can select a specific interesting part from a large image and create a new image with the selection. The new dataset retains the datatype and dataset creation properties of this dataset.- Specified by:
copy
in classDataset
- Parameters:
pgroup
- the group which the dataset is copied to.dstName
- the name of the new dataset.dims
- the dimension sizes of the the new dataset.buff
- the data values of the subset to be copied.- Returns:
- the new dataset.
- Throws:
Exception
- if dataset can not be copied
-
readBytes
Description copied from class:Dataset
Reads the raw data of the dataset from file to a byte array. readBytes() reads raw data to an array of bytes instead of array of its datatype. For example, for a one-dimension 32-bit integer dataset of size 5, readBytes() returns a byte array of size 20 instead of an int array of 5. readBytes() can be used to copy data from one dataset to another efficiently because the raw data is not converted to its native type, it saves memory space and CPU time. -
read
Reads the data from file. read() reads the data from file to a memory buffer and returns the memory buffer. The dataset object does not hold the memory buffer. To store the memory buffer in the dataset object, one must call getData(). By default, the whole dataset is read into memory. Users can also select a subset to read. Subsetting is done in an implicit way.- Specified by:
read
in interfaceDataFormat
- Returns:
- the data read from file.
- Throws:
Exception
- if object can not be readOutOfMemoryError
- if memory is exhausted- See Also:
-
write
-
getMetadata
Retrieves the object's metadata, such as attributes, from the file. Metadata, such as attributes, is stored in a List.- Specified by:
getMetadata
in interfaceMetaDataContainer
- Returns:
- the list of metadata objects.
- Throws:
Exception
- if the metadata can not be retrieved
-
writeMetadata
Writes a specific piece of metadata (such as an attribute) into the file. If an HDF(4&5) attribute exists in the file, this method updates its value. If the attribute does not exist in the file, it creates the attribute in the file and attaches it to the object. It will fail to write a new attribute to the object where an attribute with the same name already exists. To update the value of an existing attribute in the file, one needs to get the instance of the attribute by getMetadata(), change its values, then use writeMetadata() to write the value.- Specified by:
writeMetadata
in interfaceMetaDataContainer
- Parameters:
info
- the metadata to write.- Throws:
Exception
- if the metadata can not be written
-
removeMetadata
Deletes an existing piece of metadata from this object.- Specified by:
removeMetadata
in interfaceMetaDataContainer
- Parameters:
info
- the metadata to delete.- Throws:
Exception
- if the metadata can not be removed
-
updateMetadata
Updates an existing piece of metadata attached to this object.- Specified by:
updateMetadata
in interfaceMetaDataContainer
- Parameters:
info
- the metadata to update.- Throws:
Exception
- if the metadata can not be updated
-
open
Description copied from class:HObject
Opens an existing object such as a dataset or group for access. The return value is an object identifier obtained by implementing classes such as H5.H5Dopen(). This function is needed to allow other objects to be able to access the object. For instance, H5File class uses the open() function to obtain object identifier for copyAttributes(long src_id, long dst_id) and other purposes. The open() function should be used in pair with close(long) function. -
close
Description copied from class:HObject
Closes access to the object. Sub-classes must implement this interface because different data objects have their own ways of how the data resources are closed. For example, H5Group.close() calls the hdf.hdf5lib.H5.H5Gclose() method and closes the group resource specified by the group id. -
init
Description copied from interface:DataFormat
Set the initial state of all the variables- Specified by:
init
in interfaceDataFormat
-
create
public static FitsDataset create(String name, Group pgroup, Datatype type, long[] dims, long[] maxdims, long[] chunks, int gzip, Object data) throws Exception Creates a new dataset.- Parameters:
name
- the name of the dataset to create.pgroup
- the parent group of the new dataset.type
- the datatype of the dataset.dims
- the dimension size of the dataset.maxdims
- the max dimension size of the dataset.chunks
- the chunk size of the dataset.gzip
- the level of the gzip compression.data
- the array of data values.- Returns:
- the new dataset if successful. Otherwise returns null.
- Throws:
Exception
- if there is an error
-
getDatatype
Returns the datatype of the data object.- Specified by:
getDatatype
in interfaceDataFormat
- Overrides:
getDatatype
in classDataset
- Returns:
- the datatype of the data object.
-
setName
Description copied from class:HObject
Sets the name of the object. setName (String newName) changes the name of the object in the file. -
getMetadata
Retrieves the object's metadata, such as attributes, from the file. Metadata, such as attributes, is stored in a List.- Parameters:
attrPropList
- the list of properties to get- Returns:
- the list of metadata objects.
- Throws:
Exception
- if the metadata can not be retrieved
-