Releases: DahnJ/H3-Pandas
Releases · DahnJ/H3-Pandas
0.3.0
Changes
- Updates dependencies to H3 version
4
(#37)
0.2.5
Changes
k_ring_smoothing
does not fail if geometry
is present: #26
0.2.4
Changes
- Fix
h3_to_parent(0)
: #21
- Explicit support for Python 3.10 and 3.11
- Drop support for Python 3.7 and below
0.2.3
Changes
- No crs-related FutureWarning (#12)
- Add codespell to pre-commit hooks
- Remove broken badge in README
- Mention that lat/lon should be in 4326 explicitely
- Allow geopandas>=0.9
- Refactoring
0.2.2
Changes
- Fix: polyfill_resample won't fail if a polygon doesn't generate any H3 cells, but instead warns the user
0.2.1
Changes
- Attempting to use
check_less_precise
in testing to get conda-forge tests to pass.
0.2.0
Features
- Greater coverage of the H3 API (
cell_area
, k_ring
, hex_ring
, polyfill
)
- Initial and experimental implementations of
k_ring_smoothing
and polyfill_resample
- More consistent API (parameters
explode
, return_geometry
behave the same for all methods that offer them)
- Example notebook showing the new methods
General improvements
- "aggregate" functions "rebranded" to "H3-Pandas Extended API"
- Use versioneer
- black, flake8 + pre-commit
- Only use Conda for environments
- More details in docstrings (see also, examples)
0.1.3
- Documentation contains API coverage
- Bugfixes (missing return statements + lng/lat switch in
h3_to_geo
0.1.2
- conda support
- greater H3 API coverage:
h3_to_geo
, h3_get_base_cell
, h3_is_valid
, h3_to_center_child
, h3_cell_area