This document provides a listing of h5fortran public
scoped user-facing procedures and methods with a summary of their parameters.
All examples assume:
use h5fortran, only: hdf5_file
use hdf5, only: HSIZE_T, HID_T
type(hdf5_file) :: h
More than one HDF5 file can be open in a program, by declaring unique file handle (variable) like:
type(hdf5_file) :: h1, h2, h3
call h%open(filename,ierr, action,comp_lvl,verbose,debug)
!! Opens hdf5 file
character(*), intent(in) :: filename
integer, intent(out), optional :: ierr !< 0 if OK
character(*), intent(in), optional :: action !< r, w, rw
integer, intent(in), optional :: comp_lvl !< 0: no compression. 1-9: ZLIB compression, higher is more compressior
logical, intent(in), optional :: verbose, debug
call h%close(ierr, close_hdf5_interface)
!! This must be called on each HDF5 file to flush buffers to disk
!! data loss can occur if program terminates before this procedure
!!
!! We don't reference count because applications might also invoke HDF5
!! directly.
!! close_hdf5_interface is when you know you have exactly one HDF5 file in your
!! application, if true it closes ALL files, even those invoked directly from HDF5.
integer, intent(out), optional :: ierr
logical, intent(in), optional :: close_hdf5_interface
To avoid memory leaks or corrupted files, always "finalize" all hDF5 files before STOPping the Fortran program.
call h%flush(ierr)
!! request operating system flush data to disk.
!! The operating system can do this when it desires, which might be a while.
integer, intent(out), optional :: ierr
To allocate variables before reading data, inquire about dataset characteristics with these procedures.
rank = h%ndims(dataset_name)
character(*), intent(in) :: dataset_name
call h%shape(dataset_name, dims, ierr)
character(*), intent(in) :: dataset_name
integer(HSIZE_T), intent(out), allocatable :: dims(:)
integer, intent(out), optional :: ierr
exists = h%exist(dname)
!! does dataset "dname" exist in this file
character(*), intent(in) :: dname
tf = h%is_contig(dname)
!! is dataset contiguous
character(*), intent(in) :: dname
tf = h%is_compact(dname)
!! is dataset compact layout
character(*), intent(in) :: dname
tf = h%is_chunked(dname)
!! is dataset chunked
character(*), intent(in) :: dname
use h5fortran, only: is_hdf5
tf = is_hdf5('myfile.txt') !< probably false
tf = is_hdf5('myfile.h5') !< true if a valid HDF5 file
These are more advanced inquiries into the memory layout of the dataset, for advanced users:
Layout = h%layout(dname)
!! integer :: H5D_CONTIGUOUS_F, H5D_CHUNKED_F, H5D_VIRTUAL_F, H5D_COMPACT_F
character(*), intent(in) :: dname
call h%chunks(dname, chunk_size)
character(*), intent(in) :: dname
integer(hsize_t), intent(out) :: chunk_size(:)
One of the key features of HDF5 is the ability to create dataset softlinks within an HDF5 file:
call h%softlink(target, link)
character(*), intent(in) :: target, & !< target path to link dataset
link !< soft link path to create
call h%write(dname,value, ierr, chunk_size, istart, iend, stride, compact)
!! write 0d..7d dataset
character(*), intent(in) :: dname
class(*), intent(in) :: value(:) !< array to write
integer, intent(in), optional :: chunk_size(1)
integer, intent(in), optional, dimension(:) :: istart, iend, stride !< array slicing
logical, intent(in), optional :: compact !< faster I/O for sub-64 kB datasets
integer, intent(out), optional :: ierr !< 0 if OK
While the generic %write()
method above works for all supported types and ranks, it's also possible to specify the desired type to write.
The user may desire this to be more explicit about the data type intended for disk writes.
The optional arguments are the same as above; we give basic examples here:
call h%write_r32(dname, 1._real32)
call h%write_r64(dname, 1._real64)
call h%write_i32(dname, 1_int32)
call h%write_i64(dname, 1_int64)
call h%write_char(dname, "hello")
Write dataset attribute (e.g. units or instrument)
call h%writeattr(dname, attr, attrval, ierr)
character(*), intent(in) :: dname, attr !< dataset name, attribute name
class(*), intent(in) :: attrval(:) !< character, real, integer
Read data from disk to memory
call h%read(dname, value, ierr, istart, iend, stride)
character(*), intent(in) :: dname
class(*), intent(out) :: value(:) !< read array to this ALLOCATED variable
integer, intent(out), optional :: ierr !< 0 if OK
integer, intent(in), optional, dimension(:) :: istart, iend, stride !< array slicing
Read dataset attribute into memory
call h%readattr(dname, attr, attrval, ierr)
character(*), intent(in) :: dname, attr !< dataset name, attribute name
class(*), intent(out) :: attrval(:) !< character, real, integer
These are single-call operations that are slower than the object-oriented methods above. The runtime penalty may be insignificant unless you call these functions many times, say in a for loop.
The h5write
opens filename
with action='rw'
(create if not present, append if existing).
call h5write(filename, dname, value)
character(*), intent(in) :: filename, dname
class(*), intent(in) :: value(:)
The h5read
opens filename
with action='r'
(error if file not exist).
call h5read(filename, dname, value)
character(*), intent(in) :: filename, dname
class(*), intent(out) :: value(:)