Releases: Photon-HDF5/phconvert
Version 0.9.1
Expanded File support
What's Changed
- PQ: Workaround decoding error for non-UTF-8 strings by @tritemio in #36
- Add support for PHU and for duplicated tags in PTU by @tritemio in #37
- Update pqreader.py by @seb5g in #34
- Appveyor: activate base env before using conda build. by @tritemio in #42
- Add tests for PHU files by @tritemio in #43
- bh_print_sys_params: update to python3 and other enhancements. by @dmopalmer in #46
- Ensure h5file is closed even if validation fails by @ramenbytes in #52
- Avoid copying data array when loading sm files by @ramenbytes in #49
- Combined updates by @harripd in #57
- Updates for 0.9.1 by @harripd in #58
New Contributors
- @seb5g made their first contribution in #34
- @dmopalmer made their first contribution in #46
- @ramenbytes made their first contribution in #52
- @harripd made their first contribution in #57
Full Changelog: 0.9...0.9.1
Version 0.9
Important: This version drops support for Python 2.7. Python 2.7 is approaching end of life and we have no resources to keep supporting it. If you need to run Python 2.7, you can keep using phconvert 0.8.2 or you can pay a developer to support it.
This version improves supports for loading PicoQuant files:
- Added support for decoding
rtHydraHarpT3
PTU files - Improvements in metadata decoding of HT3 and PT3 files
- Loading of ns-ALEX measurement from PTU, HT3 or PT3 files now can be done with a single function (
phc.loader.nsalex_pq
)
Release sponsored by Prof. Eitan Lerner
Version 0.8.2
Minor release:
Fix a packaging issue for PIP users that caused an error on import due to missing metadata file.
Version 0.8.1
Minor release with improved file validation.
- More stringent validation checks (commit d463b42)
- Add subpackage
phconvert.v04
to load and validate Photon-HDF5 v0.4 - Fix validation with
strict_description = False
. Before this change
descriptions checks were not disabled completely when usingstrict_description = False
. - Check that arrays in
/photon_data
are strictly 1D (commit 2dde57b).
Version 0.8
What's New?
This is a major release of phconvert that adds support for Photon-HDF5 v0.5 and for more input file formats (Picoquant PT3. and .T3R). Many thanks to @biswajitSM for contributing the PT3/T3R feature.
To install or update phconvert use:
conda install phconvert -c conda-forge
NOTE: You can also install phconvert from PyPI.
Note that phconvert 0.8+ will save only Photon-HDF5 v0.5. If you need to save the old Photon-HDF5 v0.4 format, you can use phconvert 0.7.x. The 0.7 branch will receive only critical bug fixes.
-
Photon-HDF5 version 0.5: This release of phconvert will read an save the new Photon-HDF5 version 0.5. Note that Photon-HDF5 v0.5 is still in "release candidate" stage (rc1). Minor modifications to the format are still possible (but at this point unlikely) before the final 0.5 specs release. You can read in the docs what changed in Photon-HDF5 v0.5. Note that despite being "release candidate", the new Photon-HDF5 v0.5 has already been used to publish data of at least 3 publications in 2017.
-
PicoQuant PT3 T3R files: We added support for reading T3R files and improved PT3 support. New example notebooks show how to convert ns-ALEX/PIE files saved in PT3 or T3R files to Photon-HDF5.
-
MyBinder: after a period of breakage due to migration to a new infrastructure, MyBinder works again. You can try converting files online without any installation by clicking here:
Version 0.7.3
What's New?
- Add support for PicoQuant PTU files (for the following t3records formats: rtPicoHarpT3, rtHydraHarp2T3, rtTimeHarp260NT3, rtTimeHarp260PT3)
- Add unit test for pqreader.py module
- Run
bhreader
's andpqreader
's unit tests on CI services (AppVeyor and TravisCI)
Version 0.7.2
What's New?
- Fix an error when using
require_setup=False
and the setup group is missing in the input data.
See 3514a02.
Version 0.7.1
What's new?
- Add support for reading Becker & Hickl SPC from SPC-134/144/154/830
- Documentation fixes
- From now on conda packages will be built and hosted by conda-forge. As a results you can install phconvert with
conda install phconvert -c conda-forge
.
Many thanks to @lampo808 for adding the SPC support!
Version 0.7
What's New?
File decoding
- Improved reader for Becker & Hickl SPC files, now more metadata is automatically retrieved.
- Add support for decoding PicoQuant PT3 files
Testing
- Add support for Continuous Integration. phconvert notebooks are now automatically executed on each commit on windows (AppVeyor) and linux (Travis CI) on python 2.7, 3.4 and 3.5.
Docs
- Improved reference documentation now including bhreader docs (read Becker & Hickl files) and an improved pqreader docs (read PicoQuant files).