File python-datashader.changes of Package python-datashader

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File python-datashader.changes of Package python-datashader (Revision 0bf63a40ed179561ed31301ad94e8b77)

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Tue Apr 26 08:11:03 UTC 2022 - Matej Cepl <mcepl@suse.com>

- Remove skip_python310, it is not needed anymore.

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Mon Jan 31 21:47:35 UTC 2022 - Ben Greiner <code@bnavigator.de>

- Update to 0.13.0
  * Defined new dynspread metric based on counting the fraction of
    non-empty pixels that have non-empty pixels within a given
    radius. The resulting dynspread behavior is much more intuitive
    than the old behavior, which counted already-spread pixels as
    if they were neighbors (#1001)
  * Added ds.count() as the default reduction for ds.by (#1004)
  * Fixed array-bounds reading error in dynspread (#1001)
  * Fix color_key argument for dsshow (#986)
  * Added Matplotlib output to the 3_Interactivity getting started
    page. (#1009)
  * Misc docs fixes (#1007)
  * Fix nan assignment to integer array in RaggedArray (#1008)
  * Any usage of dynspread with datatypes other than points should
    be replaced with spread(), which will do what was probably
    intended by the original dynspread call, i.e. to make isolated
    lines and shapes visible. Strictly speaking, dynspread could
    still be useful for other glyph types if that glyph is
    contained entirely in a pixel, e.g. if a polygon or line
    segment is located within the pixel bounds, but that seems
    unlikely.
  * Dynspread may need to have the threshold or max_px arguments
    updated to achieve the same spreading as in previous releases,
    though the new behavior is normally going to be more useful
    than the old. 
- Drop datashader-pr996-numpy-ragged.patch
- Add datashader-pr1022-RaggedTests.patch
- Add datashader-pr1025-testfixes.patch
- Skip remaining failing ragged tests gh#holoviz/datashader#1043

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Thu Apr  1 12:57:54 UTC 2021 - Ben Greiner <code@bnavigator.de>

- Add datashader-pr996-numpy-ragged.patch in order to fix
  failures with NumPy 1.20 -- gh#holoviz/datashader#995 and
  gh#holoviz/datashader#996

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Thu Mar 18 20:53:08 UTC 2021 - Atri Bhattacharya <badshah400@gmail.com>

- Update to version 0.12.1:
  * Fix for xarray 0.17 raster files, supporting various nodata
    conventions (gh#holoviz/datashader#991)
  * Fix RaggedArray groupby test
  * Disable the interactivity warning on the homepage
    (gh#holoviz/datashader#983)
- Add BuildRequires: python-numpy now needed for building.

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Fri Feb 12 14:23:30 UTC 2021 - Dirk Müller <dmueller@suse.com>

- skip python 36

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Sat Jan  2 23:30:04 UTC 2021 - Benjamin Greiner <code@bnavigator.de>

- Test in _multibuild flavor in order to avoid build dependency
  cycle with holoviews

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Sun Aug 16 20:55:28 UTC 2020 - Arun Persaud <arun@gmx.de>

- update to version 0.11.1:
  * Fixes support for cuDF 0.13 and Numba 0.48 (#933)
  * Fixes for cuDF support on Numba>=0.51 (#934, #947)
  * Fixes tile generation using aggregators with output of boolean
    dtype (#949)
  * Fixes for CI and build infrastructure (#935, #948, #951)
  * Updates to docstrings (b1349e3, #950)

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Wed May 27 07:06:34 UTC 2020 - pgajdos@suse.com

- version update to 0.11.0
  New features (see getting_started/2_Pipeline.ipynb for examples):
    New by() categorical aggregator, extending count_cat to work with other reduction functions, no longer just count. Allows binning of aggregates separately per category value, so that you can compare how that aggregate is affected by category value. (#875, #902, #904, #906)
    Support for negative and zero values in tf.shade for categorical aggregates. (#896, #909, #910, #908)
    Support for span in _colorize(). (#875, #910)
    Support for Dask-based quadmesh rendering for rectilinear and curvilinear mesh types (#885, #913)
    Support for Dask-based raster mesh rendering (via Canvas.quadmesh) (#872)
    Faster TMS tileset generation (#886)
    Expanded performance guide (#868)
  Bugfixes:
    Misc bugfixes and improvements (#874, #882, #888, #889, #890, #891)
  Compatibility (breaking changes and deprecations):
    To allow negative-valued aggregates, count_cat now weights categories according to how far they are from the minimum aggregate value observed, while previously they were referenced to zero. Previous behavior can be restored by passing color_baseline=0 to count_cat or by.
    count_cat is now deprecated and removed from the docs; use by(..., count()) instead.
    Result of a count() aggregation is now uint32, not int32, to distinguish counts from other aggregation types (#910).
    tf.shade now only treats zero values as missing for count aggregates (uint); zero is otherwise a valid value distinct from NaN (#910).
    alpha is now respected as the upper end of the alpha range for both _colorize() and _interpolate() in tf.shade; previously only _interpolate respected it.
    Added new nansum_missing utility for working with Numpy>1.9, where nansum no longer returns NaN for all-NaN values.
    ds.geo and ds.spatial modules are now deprecated; their contents have moved to xarray_spatial and spatialpandas, respectively. (#894)

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Tue May 26 07:22:31 UTC 2020 - Petr Gajdos <pgajdos@suse.com>

- %python3_only -> %python_alternative

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Fri Feb 21 12:47:36 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>

- Update to 0.10.0:
  * Compatibility with new pandas, numba and llvm

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Fri Dec 13 00:23:38 UTC 2019 - Arun Persaud <arun@gmx.de>

- update to version 0.9.0:
  * New features:
    + Support for CUDA GPU dataframes (cudf and dask_cudf) (#794,
      #793, #821, #841, #842)
    + Documented new quadmesh support (renaming user guide section
      5_Rasters to 5_Grids to reflect the more-general grid support)
      (#805)
  * Bugfixes and compatibility:
    + Avoid double-counting line segments that fit entirely into a
      single rendered pixel (#839)
    + Improved geospatial toolbox, including 75X speedups to viewshed
      algorithm (#811, #824, #844)

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Thu Oct 24 17:10:37 UTC 2019 - Todd R <toddrme2178@gmail.com>

- Fix build dependencies.

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Fri Oct 11 08:24:42 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>

- Update to 0.8.0:
  * Compatibility with latest Numba, Intake, Pandas, and Xarray (#763, #768, #791)
  * Improved datetime support (#803)
  * Simplified docs (now built on Travis, and no longer requiring GeoViews) and examples (now on examples.pyviz.org)
  * Skip rendering of empty tiles (#760)
  * Improved performance for point, area, and line glyphs (#780)
  * InteractiveImage and Pipeline are now deprecated; removed from examples (#751)

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Mon Apr 29 20:58:26 UTC 2019 - Todd R <toddrme2178@gmail.com>

- Disable python2 builds.
  This requires xarray, which requires python3 now.

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Mon Apr 22 19:26:50 UTC 2019 - Todd R <toddrme2178@gmail.com>

- Update to version 0.7.0
  + New features:
    * Simplified Panel-based dashboard using new Param features; now only 48 lines with fewer new concepts (#707)
    * Added pandas ExtensionArray and Dask support for storing homogeneous ragged arrays (#687)
    * Added SpatialPointsFrame and updated census, osm-1billion, and osm examples to use it (#702, #706, #708)
    * Expanded 8_Geography.ipynb to document other geo-related functions
    * Added Dask support for trimesh rendering, though computing the mesh initially still requires vertices and simplicies to fit into memory (#696)
    * Add zero-copy rendering of row-oriented line coordinates, using a new axis argument (#694)
  + Bugfixes and compatibility:
    * Added lnglat_to_meters to geo module; new code should import it from there (#708)

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Wed Feb 13 18:34:28 UTC 2019 - Todd R <toddrme2178@gmail.com>

- Update to version 0.6.9
  + New features:
    * Replaced outdated 536-line Bokeh dashboard.py with 71-line Panel+HoloViews dashboard.ipynb (#676)
    * Allow aggregating xarray objects (in addition to Pandas and Dask DataFrames) (#675)
    * Create WMTS tiles from Datashader data (#636)
    * Added various geographic utility functions (ndvi, slope, aspect, hillshade, mean, bump map, Perlin noise) (#661)
    * Made OpenSky data public (#691)
  + Bugfixes and compatibility:
    * Fix array bounds error on line glyph (#683)
    * Fixed the span argument to tf.shade (#680)
    * Fixed composite.add (for use in spreading) to clip colors rather than overflow (#689)
    * Fixed gerrymandering shape file (#688)
    * Updated to match Bokeh (#656), Dask (#681, #667), Pandas/Numpy (#697)
- Remove upstream included python-datashader-dask-api-change-fix.patch

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Thu Nov 22 12:52:29 UTC 2018 - Enno Gotthold <egotthold@suse.com>

- Added patch to fix broken test_dask tests.
  * python-datashader-dask-api-change-fix.patch
  Upstream URL: https://github.com/pyviz/datashader/pull/667

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Fri Oct 26 19:49:29 UTC 2018 - Todd R <toddrme2178@gmail.com>

- Update to version 0.6.8
  + New features:
    * Added Strange Attractors example (#632)
    * Major speedup: optimized dask datashape detection (#634)
  + Bugfixes and compatibility:
    * Silenced inappropriate warnings (#631)
    * Fixed various other bugs, including #644
    * Added handling for zero data and zero range (#612, #648)
- Switch to pypi sources

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Mon Aug 13 15:53:23 UTC 2018 - toddrme2178@gmail.com

- Fix dependencies.

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Fri Jul 20 15:09:30 UTC 2018 - mcepl@suse.com

- Rebuilt with the new numba

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Thu Jul 19 13:26:46 UTC 2018 - mcepl@suse.com

- Update to 0.6.7:
    - Supports dask >= 0.18.
    - InteractiveImage is now deprecated; please use the Datashader
      support in HoloViews instead.
    - Updated installation and example instructions to use new
      datashader command.
    - Ensured transparent (not black) image is returned when there is no
      data to plot (thanks to Nick Xie)
    - Simplified getting-started example (thanks to David Jones)

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Thu Jun  7 20:30:20 UTC 2018 - jengelh@inai.de

- Fix some grammar issues.

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Thu May  3 14:07:08 UTC 2018 - toddrme2178@gmail.com

- Use %license tag

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Thu Mar  1 18:28:58 UTC 2018 - toddrme2178@gmail.com

- Update to 0.6.5
  + New features:
    - Trimesh support: Rendering of irregular triangular meshes
      using Canvas.trimesh() (see user guide) (#525,#552)
    - Added a new website at datashader.org, with new Getting
      Started pages and an extensive User Guide, with about 50%
      new material not previously in example notebooks. Built
      entirely from Jupyter notebooks, which can be run in the
      examples/ directory. Website is now complete except for
      sections on points (see the nyc_taxi example in the
      meantime).
    - Canvas.raster() now accepts xarray Dataset types, not just
      DataArrays, with the specific DataArray selectable from the
      Dataset using the column= argument of a supplied
      aggregation function.
    - tf.Images() now displays anything with an HTML
      representation, to allow laying out Pandas dataframes
      alongside datashader output.
  + Bugfixes and compatibility:
    - Changed Raster API to match other glyph types:
      > Now accepts a reduction function via an agg= argument
        like Canvas.line(), Canvas.points(), etc. The previous
        downsample_method is still accepted for this release, but
        is now deprecated.
      > upsample_method is now interpolate, accepting linear=True
        or linear=False; the previous spelling is now deprecated.
      > The layer= argument previously accepted a 1-based integer
        index, which was confusing given the standard Python
        0-based indexing elsewhere. Changed to accept an xarray
        coordinate, which can be a 1-based index if that's what is
        defined on the array, but also works with arbitrary
        floating-point coordinates (e.g. for a depth parameter in
        an image stack).
      > Now auto-ranges in x and y when not given explicit ranges,
        instead of raising an error.
    - Fixed various bugs, including one generating incorrect output
      in Canvas.raster(agg='mode')

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Fri Oct 20 16:14:29 UTC 2017 - toddrme2178@gmail.com

- initial version

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File python-datashader.changes of Package python-datashader (Revision 0bf63a40ed179561ed31301ad94e8b77)

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