Releases: NeuroJSON/easyh5
EasyH5 Toolbox v0.8 (Codename: Go - Japanese 5)
EasyH5 Toolbox - An easy-to-use HDF5 data interface (loadh5 and saveh5)
- Copyright (C) 2019 Qianqian Fang <q.fang at neu.edu>
- License: GNU General Public License version 3 (GPL v3) or 3-clause BSD license, see LICENSE*.txt
- Version: 0.8 (code name: Go - Japanese 5)
- URL: http://github.com/fangq/easyh5
ChangeLog
EasyH5 v0.8 (Go - Japanese 5), FangQ <q.fang (a) neu.edu>
2019-09-30*[104a9ed] add regroup option for loadh5, change regexp, add demo
2019-09-30*[bb762a8] support saving and restoring non-ascii group and dataset names, like JSONLab
2019-09-29*[1486603] restore the original position for a grouped item
2019-09-29*[d420b3d] support data compression, close #2
2019-09-29*[04f12ee] transpose data when saving not loading, fix sparse array loading bug
2019-09-28*[77e0d47] support saving and restoring sparse array, both real and complex, close #3
2019-09-28 [f05e305] add helper functions copied from jsonlab
2019-09-28 [2e385ae] collapse a single numbered group with in the form of ...1
2019-09-23*[5e694b8] apply both order tracked and indexed when writing datasets
2019-09-22 [289d2b6] update readme
2019-09-22*[b09c80f] now reading data in creation order, fix #1, also reads specified node using rootpath
Overview
EasyH5 is a fully automated, fast, compact and portable MATLAB object to HDF5
exporter/importer. It contains two easy-to-use functions - loadh5.m and
saveh5.m. The saveh5.m can handle almost all MATLAB data types, including
structs, struct arrays, cells, cell arrays, real and complex arrays, strings,
and containers.Map objects. All other data classes (such as a table, digraph,
etc) can also be stored/loaded seemlessly using an undocumented data serialization
interface (MATLAB only).
EasyH5 stores complex numerical arrays using a special compound data type in an
HDF5 dataset. The real-part of the data are stored as Real and the imaginary
part is stored as the Imag component. The loadh5.m automatically converts
such data structure to a complex array. Starting from v0.8, EasyH5 also supports
saving and loading sparse arrays using a compound dataset with 2 or 3
specialized subfields: SparseArray, Real, and, in the case of a sparse
complex array, Imag. The sparse array dimension is stored as an attribute
named SparseArraySize, attached with the dataset. Using the deflate filter
to save compressed arrays is supported in v0.8 and later.
Because HDF5 does not directly support 1-D/N-D cell arrays or struct arrays,
EasyH5 converts these data structures into data groups with names in the
following format
['/hdf5/path/.../varname',num2str(idx1d)]
where varname is the variable/field name to the cell/struct array object,
and idx1d is the 1-D integer index of the cell/struct array. We also provide
a function, regrouph5.m to automatically collapse these group/dataset names
into 1-D cell/struct arrays after loading the data using loadh5.m. See examples
below.
Installation
The EasyH5 toolbox can be installed using a single command
addpath('/path/to/easyh5');
where the /path/to/easyh5 should be replaced by the unzipped folder
of the toolbox (i.e. the folder containing loadh5.m/saveh5.m).
Usage
saveh5 - Save a MATLAB struct (array) or cell (array) into an HDF5 file
Save a MATLAB struct (array) or cell (array) into an HDF5 file.
Example:
a=struct('a',rand(5),'c','string','b',true,'d',2+3i,'e',{'test',[],1:5});
saveh5(a,'test.h5');
saveh5(a(1),'test2.h5','rootname','');
saveh5(a(1),'test2.h5','compression','deflate','compressarraysize',1);
loadh5 - Load data in an HDF5 file to a MATLAB structure.
Load data in an HDF5 file to a MATLAB structure.
Example:
a={rand(2), struct('va',1,'vb','string'), 1+2i};
saveh5(a,'test.h5');
a2=loadh5('test.h5')
a3=loadh5('test.h5','regroup',1)
isequaln(a,a3.a)
a4=loadh5('test.h5','/a1')
regrouph5 - Processing an HDF5 based data and group indexed datasets into a cell array
Processing a loadh5 restored data and merge "indexed datasets", whose
names start with an ASCII string followed by a contiguous integer
sequence number starting from 1, into a cell array. For example,
datasets {data.a1, data.a2, data.a3} will be merged into a cell/struct
array data.a with 3 elements.
Example:
a=struct('a1',rand(5),'a2','string','a3',true,'d',2+3i,'e',{'test',[],1:5});
a(1).a1=0; a(2).a2='test';
data=regrouph5(a)
saveh5(a,'test.h5');
rawdata=loadh5('test.h5')
data=regrouph5(rawdata)
Known problems
- EasyH5 currently does not support 2D cell and struct arrays
- If a cell name ends with a number, such as
a10={...};regrouph5can not group the cell correctly - If a database/group name is longer than 63 characters, it may have the risk of being truncated
Contribute to EasyH5
Please submit your bug reports, feature requests and questions to the Github Issues page at
https://github.com/fangq/easyh5/issues
Please feel free to fork our software, making changes, and submit your revision back
to us via "Pull Requests". EasyH5 is open-source and welcome to your contributions!
EasyH5 Toolbox v0.5 Release (code-name Cinco)
EasyH5 Toolbox - An easy-to-use HDF5 data interface (loadh5 and saveh5)
- Copyright (C) 2019 Qianqian Fang <q.fang at neu.edu>
- License: GNU General Public License version 3 (GPL v3) or 3-Clause BSD license, see LICENSE*.txt
- Version: 0.5 (code name: Cinco)
- URL: http://github.com/fangq/easyh5
ChangeLog
EasyH5 v0.5 (Cinco), FangQ <q.fang (a) neu.edu>
2019-09-19 [dc62ed5] update code name and version number
2019-09-19 [66de6e2] tracking creation order, need to use links to read in loadh5
2019-09-19*[69979e4] initial but fully working version
Overview
EasyH5 is a fully automated, fast, compact and portable MATLAB object to HDF5
exporter/importer. It contains two easy-to-use functions - loadh5.m and
saveh5.m. The saveh5.m can handle almost all MATLAB data types, including
structs, struct arrays, cells, cell arrays, real and complex arrays, strings,
and containers.Map objects. All other data classes (such as a table, digraph,
etc) can also be stored/loaded seemlessly using an undocumented data serialization
interface (MATLAB only).
EasyH5 stores complex numerical arrays using the composite data types in an
HDF5 dataset. The real-part of the data are stored as Real and the imaginary
part is stored as the Imag component. The loadh5.m automatically converts
such data structure to a complex array.
Because HDF5 does not directly support 1-D/N-D cell arrays or struct arrays,
EasyH5 converts these data structures into data groups with names in the
following format
['/hdf5/path/.../varname',num2str(idx1d)]
where varname is the variable/field name to the cell/struct array object,
and idx1d is the 1-D integer index of the cell/struct array. We also provide
a function, regrouph5.m to automatically collapse these group/dataset names
into 1-D cell/struct arrays after loading the data using loadh5.m. See examples
below.
Installation
The EasyH5 toolbox can be installed using a single command
addpath('/path/to/easyh5');
where the /path/to/easyh5 should be replaced by the unzipped folder
of the toolbox (i.e. the folder containing loadh5.m/saveh5.m).
Usage
saveh5 - Save a MATLAB struct (array) or cell (array) into an HDF5 file
Example:
a=struct('a',rand(5),'b','string','c',true,'d',2+3i,'e',{'test',[],1:5});
saveh5(a,'test.h5');
saveh5(a,'test2.h5','Root','rootname');
loadh5 - Load data in an HDF5 file to a MATLAB structure.
Example:
data=loadh5('test.h5');
regrouph5 - Processing an HDF5 based data and group indexed datasets into a cell array
Example:
a=struct('a1',rand(5),'a2','string','a3',true,'d',2+3i,'e',{'test',[],1:5});
a(1).a1=0; a(2).a2='test';
data=regrouph5(a)
saveh5(a,'test.h5');
rawdata=loadh5('test.h5')
data=regrouph5(rawdata)
Contribute to EasyH5
Please submit your bug reports, feature requests and questions to the Github Issues page at
https://github.com/fangq/easyh5/issues
Please feel free to fork our software, making changes, and submit your revision back
to us via "Pull Requests". EasyH5 is open-source and welcome to your contributions!