data-CAT

A databasing framework for the Compound Attachment Tools package (CAT).

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data-CAT - Data-CAT 0.7.2 Latest Release

Published by BvB93 over 2 years ago

What's Changed

Full Changelog: https://github.com/nlesc-nano/data-CAT/compare/0.7.1...0.7.2

data-CAT - Data-CAT 0.7.1

Published by BvB93 almost 3 years ago

What's Changed

Full Changelog: https://github.com/nlesc-nano/data-CAT/compare/0.7.0...0.7.1

data-CAT - Data-CAT 0.7.0

Published by BvB93 almost 3 years ago

What's Changed

Full Changelog: https://github.com/nlesc-nano/data-CAT/compare/0.6.0...0.7.0

data-CAT - Data-CAT 0.6.0

Published by BvB93 over 3 years ago

data-CAT - Data-CAT 0.5.1

Published by BvB93 about 4 years ago

  • Fixed an issue where not all properties were copied from the .csv file to the .hdf5 file.
data-CAT - Data-CAT 0.5.0

Published by BvB93 over 4 years ago

See https://github.com/nlesc-nano/data-CAT/milestone/5:

  • Removed the .yaml job recipe storage component of the Database class.
  • Added a function for validating property Groups.
  • Cleaned up the Database class.
  • Ensure that all content written to the .csv files is also written to the .hdf5 file.
  • Pass the "logger" group directly to the hdf5_log functions.
  • Added prop_to_dataframe(), a function for converting property Datasets into DataFrames.
  • Added set-based methods to PDBContainer: .union(), .intersection(), .difference() & .symmetric_difference().
  • Added PDBContainer.concatenate().
data-CAT - Data-CAT 0.4.0

Published by BvB93 over 4 years ago

See https://github.com/nlesc-nano/data-CAT/milestone/3:

  • Updated the hdf5 logging system.
  • Moved all dtype-related functions and data to dataCAT.dtype.
  • Cleaned up the global namespace.
  • Added the PDBContainer.index attribute.
  • Create the index Dataset when calling PDBContainer.create_hdf5_group(). Aforementioned Dataset is used as dimensional scale.
  • Provide users more control over the keyword arguments used for creating datasets.
  • Fixed an issue wherePDBContainer.to_molecules() would set values as numpy scalars rather than using its builtin counterparts.
  • Added an API for creating and managing datasets for containing quantum-mechanical properties in hdf5 format.
  • Cleaned up the backwards-compatibility checks in dataCAT.create_database.