Opencosmo 0.9.3 (2025-09-25)

Bugfixes

Fix a but that could cause opening properties and profiles without particles to fail.

Unitful values in headers now carry astropy units and transform under unit transformations (#70)
with_new_columns can now take numpy arrays or astropy quantities (#77)
Add a new “evaluate” method to the standard API, which fills the role of “with_new_columns” for cases when the computation is more than just a simple algebraic combination of columns (#77)
Add “sort_by” to the standard API, which allows ordering by the value of a column. (#112)
Mutli-dimensional columns are now unpacked correctly when only reading a single row
You can now drop entire datasets from a StructureCollection using with_datasets
You can now dump datasets and some data from collections to parquet with opencosmo.io.write_parquet()
You can now remove datasets from a StructureCollection with with_datasets

Fixed a bug that could cause MPI writes to stall after queries that returned small numbers of rows. (#99)
Fixed a bug that could cause printing lightcone summary to fail when column originally contained “redshift” column that had been dropped. (#101)
Fix a bug for installing analysis tools

StructureCollections now always require a dataset be specified when calling select

#106
Dependency management now handled by UV
Minimum required version of mpi4py has been decreased to match version available in ALCF base python environments.
Parameters accessed through a dataset are now returned as dictionaries
Remove significant amounts of dead code, reorganize for clarity
Replace astropy.table.Table with astropy.table.QTable, which generally handles units much more cleanly
Update evaluate to avoid evaluating first row twice
Update evaluate to respect default parameters

StructureCollections now filter out structures with no particles by default (#75)
Columns can now be dropped with Dataset.drop <opencosmo.Dataset.drop> (inverse of “select”) (#77)
Data can now be requested from datasets as Numpy arrays (#78)
Data retrieved with the .data attribute on datasets are now cached (#78)
Added a new “Lightcone” collection type.
Analysis modules can now be installed with new command line script opencosmo install
Data producers can now define user-provided flags that determine which datasets should be loaded in a multiple-dataset or group of files.
The opencosmo.analysis module now includes tools for creating visualizations of halos

StructureCollection and Datasets no longer raises StopIteration error if empty (prints warning) (#84)
Fixed yt interface for gravity-only simulations (#90)

open_linked_files has been depcrecated and will be removed in the future. Use opencosmo.open() instead.

Add installation from files with multiple datasets
Data opening logic has been rewritten from scratch, singnificantly improving performance when opening many file.
Partitioning in MPI now ignores regions that do not have data
The header reading logic has been generalized to allow more flexibility in defining new data types
Unit handling now supports data stored in conventions other than scalefree