Hello community,
here is the log from the commit of package python-holoviews for
openSUSE:Factory checked in at 2018-03-11 15:23:35
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-holoviews (Old)
and /work/SRC/openSUSE:Factory/.python-holoviews.new (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-holoviews"
Sun Mar 11 15:23:35 2018 rev:3 rq:583102 version:1.9.5
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-holoviews/python-holoviews.changes
2017-09-05 15:14:37.314283002 +0200
+++ /work/SRC/openSUSE:Factory/.python-holoviews.new/python-holoviews.changes
2018-03-11 15:23:39.782633905 +0100
@@ -1,0 +2,138 @@
+Sun Mar 4 09:55:21 UTC 2018 - jeng...@inai.de
+
+- Ensure neutrality of description. Say some more about the
+ implementation.
+
+-------------------------------------------------------------------
+Fri Mar 2 23:15:31 UTC 2018 - a...@gmx.de
+
+- update to version 1.9.5:
+ * Enhancements:
+ + Added .options method for simplified options setting. (#2306)
+ * Fixes:
+ + Allow plotting bytes datausing the bokeh backend in python3
+ (#2357)
+ + Allow .range to work on data with heterogeneous types in Python
+ 3 (#2345)
+ + Fixed bug streaming data containing datetimes using
+ bokeh>=0.12.14 (#2383)
+
+-------------------------------------------------------------------
+Thu Mar 1 15:56:50 UTC 2018 - toddrme2...@gmail.com
+
+- Update to Version 1.9.4
+ + Fixes:
+ * Compatibility with recent versions of dask and pandas
+ * Fixed bug referencing columns containing non-alphanumeric characters
+ in bokeh Tables
+ * Fixed issue in regrid operation
+ * Fixed issue when using datetimes with datashader when processing
+ ranges
+- Update to Version 1.9.3
+ + Enhancements:
+ * Optimized rendering of stream based OverlayPlots
+ * Added ``merge_toolbars`` and ``toolbar`` options to control
+ toolbars on ``Layout`` and Grid plots
+ * Optimized rendering of ``VectorField``
+ * Improvements to documentation
+ * Improved bokeh ``Table`` formatting
+ * Added support for handling datetime.date types
+ * Add support for pre- and post-process hooks on operations
+ + Fixes:
+ * Fix for bokeh server widgets
+ * Fix using event based streams on bokeh server
+ * Switched to drawing ``Distribution``, ``Area`` and ``Spread``
+ using patch glyphs in bokeh fixing legends
+ * Fixed categorical coloring of ``Polygons``/``Path`` elements in
+ matplotlib
+ * Fixed bug computing categorical datashader aggregates
+ * Allow using ``Empty`` object in ``AdjointLayout``
+ + API Changes:
+ * Renamed ``Trisurface`` to ``TriSurface`` for future consistency
+- Update to Version 1.9.2
+ + Enhancements:
+ * Improved the Graph element, optimizing the constructor
+ and adding support for defining a `edge_color_index`
+ * Added support for adding jitter to bokeh Scatter and Points plots
+ + Fixes:
+ * Ensure dimensions, group and label are inherited when casting
+ Image to QuadMesh
+ * Handle compatibility for bokeh version >= 0.12.11
+ * Fixed broken bokeh ArrowPlot
+ * Fixed Pointer based streams on datetime axes
+ * Allow constructing and plotting of empty Distribution and
+ Bivariate elements
+ * Added support for hover info on bokeh BoxWhisker plots
+ * Fixed bug attaching streams to (Nd)Overlay types
+- Update to Version 1.9.1
+ + Enhancements:
+ * Exposed min_alpha parameter on datashader shade and datashade
+ operations
+ + Fixes:
+ * Fixed broken bokeh server linked stream throttling
+ * Fixed bug in bokeh callbacks preventing linked streams using
+ bokeh's on_event callbacks from working
+ * Fixed insufficient validation issue for Image and bugs when
+ applying regrid operation to xarray based Images
+ * Fixed handling of dimensions and empty elements in univariate_kde
+ and bivariate_kde operations
+- Update to Version 1.9.0
+ + Features:
+ * The kdim and vdim keyword arguments are now positional making the
+ declaration of elements less verbose (e.g. Scatter(data, 'x',
+ 'y'))
+ * Added Graph, Nodes, and EdgePaths elements adding support for
+ plotting network graphs
+ * Added datashader based regrid operation for fast Image and RGB
+ regridding
+ * Added support for binary transport when plotting with bokeh,
+ providing huge speedups for dynamic plots
+ * Added Pipe and Buffer streams for streaming data support
+ * Add support for datetime axes on Image, RGB and when applying
+ datashading and regridding operations
+ * Added Distribution and Bivariate as first class elements which can
+ be plotted with matplotlib and bokeh without depending on seaborn
+ * Completely overhauled support for plotting geometries with Path,
+ Contours and Polygons elements including support for coloring
+ individual segments and paths by value
+ + Enhancements:
+ * Add support for adjoining all elements on matplotlib plots
+ * Improved exception handling for data interfaces
+ * Add groupby argument to histogram operation
+ * Add support for reverse sort on Dataset elements
+ * Added support for invert_x/yaxis on all elements
+ + Fixes:
+ * Fixed a bug in matplotlib causing the first frame in gif and mp4
+ getting stuck
+ * Fixed various issues with support for new nested categorical axes
+ in bokeh
+ * A large range of other bug fixes too long to list here.
+ + Changes affecting backwards compatibility:
+ * The contours operation no longer overlays the contours on top of
+ the supplied Image by default and returns a single
+ Contours/Polygons rather than an NdOverlay of them
+ * The values of the Distribution element should now be defined as a
+ key dimension
+ * The seaborn interface was removed in its entirety being replaced
+ by first class support for statistics elements such as
+ Distribution and Bivariate
+ * Since kdims and vdims can now be passed as positional arguments
+ the bounds argument on Image is no longer positional.
+ * The datashade and shade cmap was reverted back to blue due to issues
+ with the fire cmap against a white background.
+ * Dropped all support for bokeh versions older than 0.12.10
+ * histogram operation now returns Histogram elements with less
+ generic value dimension and customizable label
+- Update to Version 1.8.4
+ + Fixes:
+ * Fixes to register BoundsXY stream.
+ * Fix for Bounds streams on bokeh server.
+ * Compatibility with matplotlib 2.1
+ * Fixed bug in scrubber widget and support for scrubbing discrete
+ DynamicMaps
+ * Various fixes for compatibility with bokeh 0.12.9
+ * Fixes for setting QuadMesh ranges.
+ * Fixes for inverting Image/RGB/Raster axes in bokeh.
+- Disable unit tests. They freeze.
+
+-------------------------------------------------------------------
Old:
----
holoviews-1.8.3.tar.gz
New:
----
holoviews-1.9.5.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-holoviews.spec ++++++
--- /var/tmp/diff_new_pack.EJNl0U/_old 2018-03-11 15:23:40.558606068 +0100
+++ /var/tmp/diff_new_pack.EJNl0U/_new 2018-03-11 15:23:40.558606068 +0100
@@ -1,7 +1,7 @@
#
# spec file for package python-holoviews
#
-# Copyright (c) 2017 SUSE LINUX GmbH, Nuernberg, Germany.
+# Copyright (c) 2018 SUSE LINUX GmbH, Nuernberg, Germany.
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
@@ -17,11 +17,12 @@
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
-%bcond_without test
+# Tests take too long
+%bcond_with test
Name: python-holoviews
-Version: 1.8.3
+Version: 1.9.5
Release: 0
-Summary: Easy, composable, declarative visualizations for Python
+Summary: Composable, declarative visualizations for Python
License: BSD-3-Clause
Group: Development/Languages/Python
Url: https://github.com/ioam/holoviews
@@ -35,23 +36,29 @@
BuildRequires: fdupes
BuildRequires: python-rpm-macros
%if %{with test}
-BuildRequires: ffmpeg
-BuildRequires: ImageMagick
BuildRequires: %{python_module Jinja2}
BuildRequires: %{python_module Pygments}
-BuildRequires: %{python_module bokeh >= 0.12.6}
+BuildRequires: %{python_module bokeh >= 0.12.13}
BuildRequires: %{python_module cyordereddict}
+BuildRequires: %{python_module datashader}
+BuildRequires: %{python_module flexx}
BuildRequires: %{python_module jsonschema}
BuildRequires: %{python_module jupyter_ipython}
BuildRequires: %{python_module jupyter_notebook}
BuildRequires: %{python_module lancet-ioam}
+BuildRequires: %{python_module networkx}
BuildRequires: %{python_module nose}
BuildRequires: %{python_module pandas}
BuildRequires: %{python_module plotly}
BuildRequires: %{python_module pyzmq}
BuildRequires: %{python_module seaborn}
+BuildRequires: %{python_module selenium}
BuildRequires: %{python_module tornado}
+BuildRequires: %{python_module xarray}
+BuildRequires: ImageMagick
+BuildRequires: ffmpeg
%endif
+Requires: python-flexx
Requires: python-matplotlib
Requires: python-numpy >= 1.0
Requires: python-param >= 1.3.2
@@ -59,19 +66,23 @@
Recommends: ImageMagick
Recommends: python-Jinja2
Recommends: python-Pygments
-Recommends: python-bokeh >= 0.12.6
+Recommends: python-bokeh >= 0.12.13
Recommends: python-cyordereddict
+Recommends: python-datashader
Recommends: python-jsonschema
Recommends: python-jupyter_ipython
Recommends: python-jupyter_notebook
Recommends: python-lancet-ioam
Recommends: python-matplotlib
+Recommends: python-networkx
Recommends: python-pandas
Recommends: python-plotly
Recommends: python-pyzmq
Recommends: python-seaborn
+Recommends: python-scitools-iris
+Recommends: python-selenium
Recommends: python-tornado
-BuildRoot: %{_tmppath}/%{name}-%{version}-build
+Recommends: python-xarray
BuildArch: noarch
Requires(post): update-alternatives
Requires(postun): update-alternatives
@@ -79,8 +90,16 @@
%python_subpackages
%description
-HoloViews is a Python library that makes analyzing and visualizing scientific
-or engineering data much simpler, more intuitive, and more reproducible.
+HoloViews is a Python library for automated plotting of annotated
+data.
+
+Instead of building a plot using direct calls to a plotting library,
+the developer instead first describes the data with semantic
+information and then additional metadata to determine more detailed
+aspects of the visualization. This approach provides automatic
+visualization that can be requested at any time as the data evolves,
+rendered automatically by one of the supported plotting libraries
+(such as Bokeh or Matplotlib).
%prep
%setup -q -n holoviews-%{version}
@@ -108,12 +127,15 @@
%if %{with test}
%check
+export HOLOVIEWSRC=`pwd`'/holoviews.rc'
+echo 'import holoviews as
hv;hv.config(style_17=True);hv.config.warn_options_call=True' > holoviews.rc
%python_expand nosetests-%{$python_bin_suffix}
%endif
%files %{python_files}
%defattr(-,root,root,-)
-%doc LICENSE.txt
+%doc CHANGELOG.md LICENSE.txt
+%doc examples/
%python_alternative %{_bindir}/holoviews
%{python_sitelib}/*
++++++ holoviews-1.8.3.tar.gz -> holoviews-1.9.5.tar.gz ++++++
/work/SRC/openSUSE:Factory/python-holoviews/holoviews-1.8.3.tar.gz
/work/SRC/openSUSE:Factory/.python-holoviews.new/holoviews-1.9.5.tar.gz differ:
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