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python39-altair-4.2.2-1.5 RPM for noarch

From OpenSuSE Ports Tumbleweed for noarch

Name: python39-altair Distribution: openSUSE Tumbleweed
Version: 4.2.2 Vendor: openSUSE
Release: 1.5 Build date: Thu Jun 15 15:57:29 2023
Group: Development/Languages/Python Build host: lamb15
Size: 9805411 Source RPM: python-altair-4.2.2-1.5.src.rpm
Packager: http://bugs.opensuse.org
Url: https://github.com/altair-viz/altair
Summary: Declarative statistical visualization library for Python
 
This package provides a Python API for building statistical visualizations
in a declarative manner. This API contains no actual visualization rendering
code, but instead emits JSON data structures following the `Vega-Lite`_
specification. For convenience, Altair can optionally use `ipyvega`_ to
seamlessly display client-side renderings in the Jupyter notebook.

Provides

Requires

License

BSD-3-Clause

Changelog

* Sat Jan 28 2023 Dirk Müller <dmueller@suse.com>
  - update to 4.2.2:
    * Disable uri-reference format check in jsonsschema (#2771).
    * Replace iteritems with items due to pandas deprecation (#2683).
* Wed May 25 2022 Matej Cepl <mcepl@suse.com>
  - Upgrade to 4.2.0:
    - Pie charts are now supported through the use of mark_arc.
    - Support for the datum encoding specifications from Vega-Lite;
      see Vega-Lite Datum Definition.
    - angle encoding can now be used to control point styles
    - Support for serialising pandas nullable data types for float data
    - Automatically create an empty data object when Chart is
      called without a data parameter
    - Allow the use of pathlib Paths when saving charts
    - Support deepcopy for charts
    - Fix to_dict() for nested selections
    - Fix item access for expressions
* Fri Feb 19 2021 Ben Greiner <code@bnavigator.de>
  - Skip python36 build: With NumPy 1.20, Tumbleweed no longer
    provides a python36-numpy (NEP 29)
* Sat Apr 18 2020 Arun Persaud <arun@gmx.de>
  - update to version 4.1.0:
    * Minimum Python version is now 3.6
    * Update Vega-Lite to version 4.8.1; many new features and bug fixes
      from Vega-Lite versions 4.1 through 4.8; see Vega-Lite Release
      Notes.
    * Enhancements
      + strokeDash encoding can now be used to control line styles
      (Example: Multi Series Line Chart)
      + chart.save() now relies on altair_saver for more flexibility
      (#1943).
      + New chart.show() method replaces chart.serve(), and relies on
      altair_viewer to allow offline viewing of charts (#1988).
    * Bug Fixes
      + Support Python 3.8 (#1958)
      + Support multiple views in JupyterLab (#1986)
      + Support numpy types within specifications (#1914)
      + Support pandas nullable ints and string types (#1924)
    * Maintenance
      + Altair now uses black and flake8 for maintaining code quality &
      consistency.
* Thu Jan 30 2020 Todd R <toddrme2178@gmail.com>
  - Update to 4.0.1
    * Support for interactive legends
    * Responsive chart width and height
    * Bins responsive to selections
    * New pivot transform
    * New Regression transform
    * New LOESS transform
    * New density transform
    * Image mark
    * New default html renderer, directly compatible with Jupyter Notebook and
      JupyterLab without the need for frontend extensions, as well as tools like
      nbviewer and nbconvert, and related notebook environments such as Zeppelin,
      Colab, Kaggle Kernels, and DataBricks.
    * Support per-corner radius for bar marks
    * Sort-by-field can now use the encoding name directly
    * The rangeStep argument to :class:Scale and :meth:Chart.configure_scale is deprecated.
      instead, use chart.properties(width={"step": rangeStep}) or
      chart.configure_view(step=rangeStep).
    * align, center, spacing, and columns are no longer valid chart properties, but
      are moved to the encoding classes to which they refer.
* Sun Dec 01 2019 Arun Persaud <arun@gmx.de>
  - update to version 3.3.0:
    * Enhancements
      + Add inheritance structure to low-level schema classes (#1803)
      + Add html renderer which works across frontends (#1793)
      + Support Python 3.8 (#1740, #1781)
      + Add :G shorthand for geojson type (#1714)
      + Add data generator interface: alt.sequence, alt.graticule,
      alt.sphere() (#1667, #1687)
      + Support geographic data sources via __geo_interface__ (#1664)
    * Bug Fixes
      + Support pickle and copy.deepcopy for chart objects (#1805)
      + Fix bug when specifying count() within transform_joinaggregate()
      (#1751)
      + Fix LayerChart.add_selection (#1794)
      + Fix arguments to project() method (#1717)
      + Fix composition of multiple selections (#1707)
* Fri Aug 16 2019 Todd R <toddrme2178@gmail.com>
  - Update to version 3.2.0
    Upgraded to Vega-Lite version 3.4
    + Enhancements
    * Selector values can be used directly in expressions
    * Top-level chart repr is now truncated to improve readability of error
      messages
    + Bug Fixes
    * top-level ``add_selection`` methods now delegate to sub-charts. Previously
      they produced invalid charts
    * Unsupported ``mark_*()`` methods removed from LayerChart
    * New encoding channels are properly parsed
    * Data context is propagated when encodings are specified as lists
    + Backward-Incompatible Changes
    * ``alz.LayerChart`` no longer has ``mark_*()`` methods, because they never
      produced valid chart specifications)
* Tue Jul 23 2019 Todd R <toddrme2178@gmail.com>
  - Update to Version 3.1.0
    Update includes full compatibility with version 3.3 of Vega-Lite.
    + Enhancements
    * Added support for vega themes via ``alt.themes.enable(theme_name)``
    * Added an ``alt.renderers.disable_max_rows()`` method for disabling the
      maximum rows check
    * Improved user-facing warnings/errors around layering and faceting .
    * ``data`` argument is now properly handled by  ``Chart.properties``
    * Compound charts (layer, concat, hconcat, vconcat) now move data to the top
      level by default. In particular, this means that the ``facet()`` method
      can now be called directly on a layered chart without having to change
      how data is specified.
    * ``alt.LayerChart`` now supports ``mark_*()`` methods. If a layer specifies a
      mark at the top level, all child charts will inherit it (unless they override
      it explicitly).
    * ``alt.Chart.facet()`` now handles wrapped facets; for example:
      chart.facet('column_name', columns=5)
    + Bug fixes
    * Make ``chart.serve()`` and ``chart.save()`` respect the data transformer
      setting
    * Fixed a deserialization bug for certain chart specs in schemapi
    + Backward-Incompatible Changes
    * ``alt.Chart.facet()`` now accepts a wrapped facet encoding as a first positional
      argument, rather than a row encoding. The following are examples of old invocations,
      and the equivalent new invocations:
      > ``chart.facet(row='col1', column='col2')``: unchanged
      > ``chart.facet('col1', 'col2')``: change to ``chart.facet(row='col1', column='col2')``
      > ``chart.facet('col1')``: change to ``chart.facet(row='col1')``
      In each case, the new invocations are compatible back to Altair 2.X.
    * Several of the encoding channels added in 3.0 have had their capitalization
      corrected to better match the names used in the schema:
      > ``alt.Fillopacity`` -> ``alt.FillOpacity``
      > ``alt.Strokeopacity`` -> ``alt.StrokeOpacity``
      > ``alt.Strokewidth`` -> ``alt.StrokeWidth``
      > ``alt.Xerror`` -> ``alt.XError``
      > ``alt.Xerror2`` -> ``alt.XError2``
      > ``alt.Yerror`` -> ``alt.YError``
      > ``alt.Yerror2`` -> ``alt.YError2``
  - Update to Version 3.0.1
    * Fix version info bug for HTML output and Colab & Kaggle renderers.
* Mon Apr 29 2019 Todd R <toddrme2178@gmail.com>
  - Uodate to 3.0.0
    * new compound marks: mark_boxplot(), mark_errorband(), mark_errorbar()
    * new transforms: transform_impute(), transform_joinaggregate(), transform_flatten() transform_fold(), transform_sample(), transform_stack()
    * new facet encoding that is similar to the row and column encoding, but allows for wrapped facets
    * new alt.concat() function that is similar to alt.hconcat and alt.vconcat, but allows for more general wrapped concatenation
    * new columns keyword that allows wrapped faceting, repeating, and concatenation.
    * many, many bug fixes
    * tooltips can now be automatically populated using the tooltip mark configuration.
    * ability to specify initial condisions for selections
* Thu Mar 21 2019 Matej Cepl <mcepl@suse.com>
  - Update to 2.4.1:
    - Several documentation cleanups & new examples
    - Fix incompatibility with pandas version 0.24 (#1315)

Files

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