'Lazy' loading of Dask arrays from Tiled (SRX) #321
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
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?