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| Name: python312-altair | Distribution: openSUSE Tumbleweed |
| Version: 5.2.0 | Vendor: openSUSE |
| Release: 2.2 | Build date: Fri Mar 15 20:47:34 2024 |
| Group: Unspecified | Build host: reproducible |
| Size: 13798724 | Source RPM: python-altair-5.2.0-2.2.src.rpm |
| Packager: https://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.
BSD-3-Clause
* Fri Mar 15 2024 Ben Greiner <code@bnavigator.de>
- Disable jupyter testing for python39: dropped support in
ipython 8.19
- Update requirements
* Thu Feb 29 2024 Matej Cepl <mcepl@cepl.eu>
- Update to 5.2.0:
- Update Vega-Lite from version 5.15.1 to version 5.16.3
- Support offline HTML export using vl-convert
- Support saving charts as PDF files using the vl-convert
export engine
- Support converting charts to sharable Vega editor URLs with
chart.to_url()
- Pass format_locale and time_format_locale through to
vl-convert to support locales in static image export
- Vega-Altair is now a typed package, with type annotations for
all public functions and classes and some of the internal
code
- Vega-Altair is tested against Python 3.12
* Sat Nov 25 2023 Dirk Müller <dmueller@suse.com>
- update to 5.1.2:
* Update Vega-Lite from version 5.14.1 to version 5.15.1;
* Remove usage of deprecated Pandas parameter
``convert_dtypes`` (#3191)
* Fix encoding type inference for boolean columns when pyarrow
is installed (#3210)
* Wed Sep 13 2023 Steve Kowalik <steven.kowalik@suse.com>
- Update to 5.1.1:
* infer dtype pandas fallback
* The chart.transformed_data() method was added to extract transformed
chart data
* Introduction of a new data transformer named vegafusion
* A JupyterChart class was added to support accessing params and
selections from Python
* Support for field encoding inference for objects that support the
DataFrame Interchange Protocol
* Add support for new referencing logic in version 4.18 of jsonschema
* A new transform method transform_extent is available
* Drop support for Python 3.7 which is end-of-life
* Hard dependencies: Increase minimum required pandas version to 0.25
* TitleParam to Title in example gallery and sync scatterplot table
* Fix bug in reconstructing layered charts with from_json/from_dict
* Remove extra files in site-packages from wheel
* Introduction of parameters. There are two types of parameters, selection
parameters and variable parameters. Variable parameters are new to
Altair, and while selections are not new, much of the old terminology
has been deprecated.
* Grouped bar charts and jitter are now supported using offset channels
* vl-convert is now used as the default backend for saving Altair charts as
svg and png files
* Saving charts with HTML inline is now supported without having
altair_saver installed.
* Ordered pandas categorical data are now automatically encoded as sorted
ordinal data.
* The Title and Impute aliases were added for TitleParams and ImputeParams
* More informative autocompletion by removing deprecated methods and for
* Substantially improved error handling. Both in terms of finding the more
relevant error, and in terms of improving the formatting and clarity of
the error messages.
* Support data type inference for columns with special characters.
* Responsive width support using width="container" when saving charts to
html or displaying them with the default html renderer.
- Switch to pyproject macros.
* 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)
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