Releases: DahnJ/H3-Pandas
Releases · DahnJ/H3-Pandas
0.3.0
02 Mar 01:33
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Changes
Updates dependencies to H3 version 4 (#37 )
0.2.6
21 Nov 19:47
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0.2.5
09 Nov 21:13
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Changes
k_ring_smoothing does not fail if geometry is present: #26
0.2.4
19 Mar 17:55
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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
15 Feb 16:50
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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
29 Jun 01:32
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Changes
Fix: polyfill_resample won't fail if a polygon doesn't generate any H3 cells, but instead warns the user
0.2.1
25 Jun 21:44
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Attempting to use check_less_precise in testing to get conda-forge tests to pass.
0.2.0
25 Jun 20:24
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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
02 Jun 07:18
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Documentation contains API coverage
Bugfixes (missing return statements + lng/lat switch in h3_to_geo
0.1.2
01 Jun 18:35
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conda support
greater H3 API coverage: h3_to_geo, h3_get_base_cell, h3_is_valid, h3_to_center_child, h3_cell_area