Loading of experimental data from the Tiled server for SRX beamline. Data is loaded and saved to HDF5 file in blocks of ~40,000 pixels and allows to load large maps without excessive memory use. The procedure is efficient for loading and saving the sum of all data. It also works for loading individual channels, but is very slow.
Replaced deprecated BrokenBarHCollection with PolyCollection. PyXRF is now compatible with Matplotlib 3.9.0.
Data collected during 2D step scans still can not be loaded using Tiled.
Fixed
Compatibility with Matplotlib 3.9.0: deprecated BrokenBarHCollection was replaced with PolyCollection.
Added
Optimized data loaded from Tiled server for SRX beamline.
Loading of experimental data from the Tiled server for SRX beamline. Data is loaded and saved to HDF5 file in blocks of ~40,000 pixels and allows to load large maps without excessive memory use. The procedure is efficient for loading and saving the sum of all data. It also works for loading individual channels, but is very slow.
Replaced deprecated
BrokenBarHCollectionwithPolyCollection. PyXRF is now compatible with Matplotlib 3.9.0.Data collected during 2D step scans still can not be loaded using Tiled.
Fixed
BrokenBarHCollectionwas replaced withPolyCollection.Added
Changed
Removed
How Has This Been Tested?