RC 0.0.6

[jklenzing]

Description

Type of change

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• This change requires a documentation update

How Has This Been Tested?

via pytest and Github Actions config

Checklist:

• [x] Update the version number
• [x] Verify and update Zenodo information in .zenodo.json
• [x] doc tests pass locally
• [x] activate this branch on readthedocs
• [x] Upload the test distribution to the testPyPi server
• [x] Contacted developers and users about the future release
• [x] Performed integration tests with downstream packages (include list of these packages)
• [x] Create a wiki page with the release text (put link here)
• [x] After approval, confirm all changes from the RC pull are listed in the wiki release text.- [ ] My code follows the style guidelines of this project
• [x] I have performed a self-review of my own code
• [x] I have commented my code, particularly in hard-to-understand areas
• [x] I have made corresponding changes to the documentation
• [x] My changes generate no new warnings
• [x] I have added tests that prove my fix is effective or that my feature works
• [x] New and existing unit tests pass locally with my changes
• [x] Any dependent changes have been merged and published in downstream modules
• [x] Add a note to CHANGELOG.md, summarizing the changes
• [x] Update zenodo.json file for new code contributors

If this is a release PR, replace the first item of the above checklist with the release checklist on the wiki: https://github.com/pysat/pysat/wiki/Checklist-for-Release

[jklenzing]

RC1 is live on test pypi. https://test.pypi.org/project/pysatNASA/0.0.6rc1/

[jklenzing]

TODO:

• [x] merge in other PRs
• [x] Wait for SPDF to update metadata / fix bug (#236)

[jklenzing]

pandas 2.2 added new frequency offset aliases and deprecated the old ones. Had not realized the new syntax was this new. Tests will fail under older versions of pandas.

According to SPEC-0000, pandas 2.1 support should be maintained through Q3 of 2025. pandas 3.0 (unknown release date) will drop the deprecated 'M' and 'Y'. Leaning toward using an if else statement on the pandas version, linked to an issue describing what's up.