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| Name: python311-datashader | Distribution: openSUSE Tumbleweed |
| Version: 0.18.2 | Vendor: openSUSE |
| Release: 3.2 | Build date: Sat Dec 20 19:46:49 2025 |
| Group: Unspecified | Build host: reproducible |
| Size: 28534069 | Source RPM: python-datashader-0.18.2-3.2.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://datashader.org | |
| Summary: Data visualization toolchain based on aggregating into a grid | |
Traditional visualization systems treat plotting as a unitary process transforming incoming data into an onscreen or printed image, with parameters that can be specified beforehand that affect the final result. While this approach works for small collections of data that can be viewed in their entirety, the visualization for large datasets is often the only way to understand what the data consists of, and there is no objective way to set the parameters to reveal this data. The datashader library breaks up the rendering pipeline into a series of stages where user-defined computations can be performed, allowing the visualization to adapt to and reveal the underlying properties of the dataset, i.e. the datashader pipeline allows computation *on the visualization*, not just on the dataset, allowing it to do automatic ranging and scaling that takes the current visualization constraints into account. For instance, where a traditional system would use a transparency/opacity parameter to show the density of overlapping points in a scatterplot, datashader can automatically calculate how many datapoints are mapped to each pixel, scaling the representation to accurately convey the data at every location, with no saturation, overplotting, or underplotting issues.
BSD-3-Clause
* Sat Dec 20 2025 Ben Greiner <code@bnavigator.de>
- Remove deprecated nbsmoke from test dependencies
* Wed Sep 17 2025 Ben Greiner <code@bnavigator.de>
- Remove deprecated dask-expr from tests
* Mon Sep 15 2025 Steve Kowalik <steven.kowalik@suse.com>
- Update to 0.18.2:
* Breaking Changes:
+ Drop support for Python 3.9
+ Making dask and pillow optional dependencies
* Enhancements:
+ Add more information to repr of reductions
+ Edge bundling speedup using optimized numba code
* Compatibility:
+ Compatibility with Pillow 11.3.0
+ Compatibility with cuDF 24.12
+ Compatibility with dask 2025.1 and dask-expr 2
+ Compatibility with pixi v0.40.0
+ Compatibility with Python 3.13
* Bugfixes:
+ Fix segfault when quadmesh reduction wrongly exceeded the array size
+ PDF scaling bug
* Maintenance:
+ Move to pixi and hatchling
* Sun Sep 22 2024 Ben Greiner <code@bnavigator.de>
- Don't require runtime requirements for building: Avoid resolver
conflict for numpy with numba
* Fri Aug 30 2024 Ben Greiner <code@bnavigator.de>
- Unpin numpy 2
* Thu Jul 11 2024 Steve Kowalik <steven.kowalik@suse.com>
- Restrict numpy to < 2.
* Mon Jul 08 2024 Dirk Müller <dmueller@suse.com>
- update to 0.16.3:
* Add fail-fast for datasets outside the visible extent
* Compatibility with cudf 2024.06
* Compatibility with geopandas 1.0 and dask-geopandas 0.4.0
* Mon Jun 24 2024 Steve Kowalik <steven.kowalik@suse.com>
- Update to 0.16.2:
* Remove artifact from Polygon rendering (#1341)
* Python 3.12 support (#1317)
* Basic dask_expr support (#1317)
* Numpy 2.0 support (#1306)
* Remove redundant py2 helper code (#1316)
- Remove upper bound on pytest.
- Add patch datashader-pr1314-fix-pandas2.2-tests.patch:
* Included upstream.
* Sat Mar 02 2024 Ben Greiner <code@bnavigator.de>
- Skip python39: no xarray anymore
- Add datashader-pr1314-fix-pandas2.2-tests.patch
gh#holoviz/datashader#1314
* Fri Feb 09 2024 Daniel Garcia <daniel.garcia@suse.com>
- Drop DataShape requirement, it's included and maintained in
datashader since 0.16.0
* gh#holoviz/datashader#1003
* gh#holoviz/datashader#1284
- Use %pyproject macros to build the package
- skip known failing test with latest dask gh#holoviz/datashader#1032
* Mon Oct 30 2023 Dirk Müller <dmueller@suse.com>
- update to 0.16.0:
* Support rendering of GeoPandas GeoDataFrames as lines, points
and polygons
* Implement lines using 2D xarray with common x coordinates
* Add debug logging to compiler module (#1280)
* Vendor DataShape (#1284)
* Don't use object as base class (#1286)
* Fix typos using codespell (#1288)
* Fix float16 being a floating type. (#1290)
* Simplify line _internal_build_extend (#1294)
* Update to latest holoviz_tasks (#1281)
* Support Pandas 2.1 (#1276, #1287)
* Replace np.NaN with np.nan (#1289)
* Drop support for Python 3.8 (#1291)
- drop pd21.patch (upstream)
* Wed Sep 20 2023 Markéta Machová <mmachova@suse.com>
- Add pd21.patch to support Pandas 2.1
* Mon Sep 18 2023 Dirk Müller <dmueller@suse.com>
- update to 0.15.2:
* This release adds antialiased line support for inspection
reductions such as max_n and where, including within
categorical by reductions. It also improves support
for summary reductions and adds CUDA implementations
of std and var reductions
* Sun Aug 13 2023 Dirk Müller <dmueller@suse.com>
- update to 0.15.1:
* Fix single category reductions
* Ensure categorical column order is the same across dask partitions
* see https://github.com/holoviz/datashader/releases/tag/v0.15.1
* Fri Jun 02 2023 Ben Greiner <code@bnavigator.de>
- Mention dropped patches:
* Do-not-use-warnings-from-numpy.patch
* numpy-1.24.patch
* Thu Jun 01 2023 Ben Greiner <code@bnavigator.de>
- Update to 0.15.0
* This release provides significant improvements for inspection
reductions by adding new first_n, last_n, max_n and min_n
reductions, and providing Dask and CUDA support for all
existing and new inspection reductions including where. It also
provides support for Numba 0.57, NumPy 1.24 and Python 3.11,
and drops support for Python 3.7.
[#]# Enhancements:
[#]## Inspection reductions:
* Reduction append functions return index not boolean (#1180)
* first_n, last_n, max_n and min_n reductions (#1184)
* Add cuda argument to _build_combine (#1194)
* Support max_n and min_n reductions on GPU (#1196)
* Use fast cuda mutex available in numba 0.57 (#1212)
* Dask support for first, last, first_n and last_n reductions
(#1214)
* Wrap use of cuda mutex in where reductions (#1217)
* Cuda and cuda-with-dask support for inspection reductions
(#1219)
[#]## Other:
* x and y range attributes on returned aggregations (#1198)
* Make datashader.composite imports lazy for faster import time
(#1222)
[#]# Bug fixes
* Fix conversion from cupy in categorical rescale_discrete_levels
(#1179)
* Validate canvas width, height (#1183)
* Support antialiasing in pipeline API (#1213)
- Add pyarrow to tests, run tests in parallel with xdist
- Fix dependencies
* Mon May 29 2023 Dirk Müller <dmueller@suse.com>
- reenable python311 (dask available)
* Wed Mar 22 2023 Ben Greiner <code@bnavigator.de>
- Skip python38: No xarray anymore
- Skip python311: No dask-all and numba yet
* Tue Feb 07 2023 Daniel Garcia <daniel.garcia@suse.com>
- Add Do-not-use-warnings-from-numpy.patch and numpy-1.24.patch to fix issues
with latest numpy gh#holoviz/datashader#1176 gh#holoviz/datashader#1158
- Update to 0.14.4
* This release adds a new where reduction that provides improved inspection
capabilities and adds support for colormaps that are tuples of hex values.
There are also various bug fixes and compatibility improvements.
Thanks to @ianthomas23, @maximlt and @Hoxbro.
[#]# Enhancements:
* New where reduction to provide improved inspection functionality:
- Add new where reduction (#1155)
- Where reduction using dataframe row index (#1164)
- CUDA support for where reduction (#1167)
- User guide page for where reduction (#1172)
* Support colormaps that are tuples of hex values (#1173)
* Add governance docs (#1165)
* Improve documentation build system (#1170, #1171)
* Improvements to CI:
- Rename default branch from master to main (#1156)
- Use holoviz_task install action (#1163)
[#]# Bug fixes:
* Validate calculated log canvas range (#1154)
* Better validate canvas.line() coordinate lengths (#1160)
* Return early in eq_hist() if all data masked out (#1168)
[#]# Compatibility:
* Follow recommended numba best practice.
- Ensure cuda functions are correctly jitted (#1153)
- nopython=True everywhere (#1162)
* Update dependencies:
- Pip pyarrow in tests dependencies (#1174)
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Fabrice Bellet, Wed Mar 4 22:25:36 2026