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here is the log from the commit of package python-seaborn for openSUSE:Factory
checked in at 2023-01-12 22:44:49
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-seaborn (Old)
and /work/SRC/openSUSE:Factory/.python-seaborn.new.32243 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-seaborn"
Thu Jan 12 22:44:49 2023 rev:19 rq:1057877 version:0.12.2
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-seaborn/python-seaborn.changes
2022-11-14 14:29:28.831107680 +0100
+++ /work/SRC/openSUSE:Factory/.python-seaborn.new.32243/python-seaborn.changes
2023-01-12 22:45:00.677106787 +0100
@@ -1,0 +2,213 @@
+Wed Jan 11 11:52:38 UTC 2023 - Ben Greiner <c...@bnavigator.de>
+
+- Update to 0.12.2
+ * |Feature| Added the objects.KDE stat (#3111).
+ * |Feature| Added the objects.Boolean scale (#3205).
+ * |Enhancement| Improved user feedback for failures during plot
+ compilation by catching exceptions and re-raising with a
+ PlotSpecError that provides additional context. (#3203).
+ * |Fix| Improved calculation of automatic mark widths with
+ unshared facet axes (#3119).
+ * |Fix| Improved robustness to empty data in several components
+ of the objects interface (#3202).
+ * |Fix| Fixed a bug where legends for numeric variables with
+ large values would be incorrectly shown (i.e. with a missing
+ offset or exponent; #3187).
+ * |Fix| Fixed a regression in v0.12.0 where manually-added labels
+ could have duplicate legend entries (#3116).
+ * |Fix| Fixed a bug in histplot with kde=True and log_scale=True
+ where the curve was not scaled properly (#3173).
+ * |Fix| Fixed a bug in relplot where inner axis labels would be
+ shown when axis sharing was disabled (#3180).
+ * |Fix| Fixed a bug in objects.Continuous to avoid an exception
+ with boolean data (#3190).
+- Release 0.12.1
+ * Added the objects.Text mark (#3051).
+ * Added the objects.Dash mark (#3074).
+ * Added the objects.Perc stat (#3063).
+ * Added the objects.Count stat (#3086).
+ * The objects.Band and objects.Range marks will now cover the
+ full extent of the data if min / max variables are not
+ explicitly assigned or added in a transform (#3056).
+ * The objects.Jitter move now applies a small amount of jitter by
+ default (#3066).
+ * Axes with a objects.Nominal scale now appear like categorical
+ axes in classic seaborn, with fixed margins, no grid, and an
+ inverted y axis (#3069).
+ * The objects.Continuous.label method now accepts base=None to
+ override the default formatter with a log transform (#3087).
+ * Marks that sort along the orient axis (e.g. objects.Line) now
+ use a stable algorithm (#3064).
+ * Added a label parameter to pointplot, which addresses a
+ regression in 0.12.0 when pointplot is passed to FacetGrid
+ (#3016).
+ * Fixed a bug that caused an exception when more than two layers
+ with the same mappings were added to objects.Plot (#3055).
+ * Made objects.PolyFit robust to missing data (#3010).
+ * Fixed a bug in objects.Plot that occurred when data assigned to
+ the orient coordinate had zero variance (#3084).
+ * Fixed a regression in kdeplot where passing cmap for an
+ unfilled bivariate plot would raise an exception (#3065).
+ * Addressed a performance regression in lineplot with a large
+ number of unique x values (#3081).
+ * Seaborn no longer contains doctest-style examples, simplifying
+ the testing infrastructure (#3034).
+- Release 0.12.0
+ ## Introduction of the objects interface
+ * This release debuts the seaborn.objects interface, an entirely
+ new approach to making plots with seaborn. It is the product of
+ several years of design and 16 months of implementation work.
+ The interface aims to provide a more declarative, composable,
+ and extensible API for making statistical graphics. It is
+ inspired by Wilkinson's grammar of graphics, offering a
+ Pythonic API that is informed by the design of libraries such
+ as ggplot2 and vega-lite along with lessons from the past 10
+ years of seaborn's development.
+ * For more information and numerous examples, see the tutorial
+ chapter and API reference.
+ * This initial release should be considered "experimental". While
+ it is stable enough for serious use, there are definitely some
+ rough edges, and some key features remain to be implemented. It
+ is possible that breaking changes may occur over the next few
+ minor releases. Please be patient with any limitations that you
+ encounter and help the development by reporting issues when you
+ find behavior surprising.
+ ## Keyword-only arguments
+ * Seaborn's plotting functions now require explicit keywords for
+ most arguments, following the deprecation of positional
+ arguments in v0.11.0. With this enforcement, most functions
+ have also had their parameter lists rearranged so that data is
+ the first and only positional argument. This adds consistency
+ across the various functions in the library. It also means that
+ calling func(data) will do something for nearly all functions
+ (those that support wide-form data) and that pandas.DataFrame
+ can be piped directly into a plot. It is possible that the
+ signatures will be loosened a bit in future releases so that x
+ and y can be positional, but minimal support for positional
+ arguments after this change will reduce the chance of
+ inadvertent mis-specification (2804).
+ ## Modernization of categorical scatterplots
+ * This release begins the process of modernizing the categorical
+ plots, beginning with stripplot and swarmplot. These functions
+ are sporting some enhancements that alleviate a few
+ long-running frustrations (2413, 2447):
+ * The new native_scale parameter allows numeric or datetime
+ categories to be plotted with their original scale rather than
+ converted to strings and plotted at fixed intervals.
+ * The new formatter parameter allows more control over the string
+ representation of values on the categorical axis. There should
+ also be improved defaults for some types, such as dates.
+ * It is now possible to assign hue when using only one coordinate
+ variable (i.e. only x or y).
+ * It is now possible to disable the legend.
+ * The updates also harmonize behavior with functions that have
+ been more recently introduced. This should be relatively
+ non-disruptive, although a few defaults will change:
+ * The functions now hook into matplotlib's unit system for
+ plotting categorical data. (Seaborn's categorical functions
+ actually predate support for categorical data in matplotlib.)
+ This should mostly be transparent to the user, but it may
+ resolve a few edge cases. For example, matplotlib interactivity
+ should work better (e.g., for showing the data value under the
+ cursor).
+ * A color palette is no longer applied to levels of the
+ categorical variable by default. It is now necessary to
+ explicitly assign hue to see multiple colors (i.e., assign the
+ same variable to x/y and hue). Passing palette without hue will
+ continue to be honored for one release cycle.
+ * Numeric hue variables now receive a continuous mapping by
+ default, using the same rules as scatterplot. Pass
+ palette="deep" to reproduce previous defaults.
+ * The plots now follow the default property cycle; i.e. calling
+ an axes-level function multiple times with the same active axes
+ will produce different-colored artists.
+ * Currently, assigning hue and then passing a color will produce
+ a gradient palette. This is now deprecated, as it is easy to
+ request a gradient with, e.g. palette="light:blue".
+ * Similar enhancements / updates should be expected to roll out
+ to other categorical plotting functions in future releases.
+ There are also several function-specific enhancements:
+ * In stripplot, a "strip" with a single observation will be
+ plotted without jitter (2413)
+ * In swarmplot, the points are now swarmed at draw time, meaning
+ that the plot will adapt to further changes in axis scaling or
+ tweaks to the plot layout (2443).
+ * In swarmplot, the proportion of points that must overlap before
+ issuing a warning can now be controlled with the warn_thresh
+ parameter (2447).
+ * In swarmplot, the order of the points in each swarm now matches
+ the order in the original dataset; previously they were sorted.
+ This affects only the underlying data stored in the matplotlib
+ artist, not the visual representation (2443).
+ ## More flexible errorbars
+ * Increased the flexibility of what can be shown by the
+ internally-calculated errorbars for lineplot, barplot, and
+ pointplot.
+ * With the new errorbar parameter, it is now possible to select
+ bootstrap confidence intervals, percentile / predictive
+ intervals, or intervals formed by scaled standard deviations or
+ standard errors. The parameter also accepts an arbitrary
+ function that maps from a vector to an interval. There is a new
+ user guide chapter demonstrating these options and explaining
+ when you might want to use each one.
+ * As a consequence of this change, the ci parameter has been
+ deprecated. Note that regplot retains the previous API, but it
+ will likely be updated in a future release (2407, 2866).
+ ## Other updates
+ * It is now possible to aggregate / sort a lineplot along the y
+ axis using orient="y" (2854).
+ * Made it easier to customize FacetGrid / PairGrid / JointGrid
+ with a fluent (method-chained) style by adding apply/ pipe
+ methods. Additionally, fixed the tight_layout and refline
+ methods so that they return self (2926).
+ * Added FacetGrid.tick_params and PairGrid.tick_params to
+ customize the appearance of the ticks, tick labels, and
+ gridlines of all subplots at once (2944).
+ * Added a width parameter to barplot (2860).
+ * It is now possible to specify estimator as a string in barplot
+ and pointplot, in addition to a callable (2866).
+ * Error bars in regplot now inherit the alpha value of the points
+ they correspond to (2540).
+ * When using pairplot with corner=True and diag_kind=None, the
+ top left y axis label is no longer hidden (2850).
+ * It is now possible to plot a discrete histplot as a step
+ function or polygon (2859).
+ * It is now possible to customize the appearance of elements in a
+ boxenplot with box_kws/line_kws/flier_kws (2909).
+ * Improved integration with the matplotlib color cycle in most
+ axes-level functions (2449).
+ * Fixed a regression in 0.11.2 that caused some functions to
+ stall indefinitely or raise when the input data had a duplicate
+ index (2776).
+ * Fixed a bug in histplot and kdeplot where weights were not
+ factored into the normalization (2812).
+ * Fixed two edgecases in histplot when only binwidth was provided
+ (2813).
+ * Fixed a bug in violinplot where inner boxes/points could be
+ missing with unpaired split violins (2814).
+ * Fixed a bug in PairGrid where an error would be raised when
+ defining hue only in the mapping methods (2847).
+ * Fixed a bug in scatterplot where an error would be raised when
+ hue_order was a subset of the hue levels (2848).
+ * Fixed a bug in histplot where dodged bars would have different
+ widths on a log scale (2849).
+ * In lineplot, allowed the dashes keyword to set the style of a
+ line without mapping a style variable (2449).
+ * Improved support in relplot for "wide" data and for faceting
+ variables passed as non-pandas objects (2846).
++++ 16 more lines (skipped)
++++ between /work/SRC/openSUSE:Factory/python-seaborn/python-seaborn.changes
++++ and
/work/SRC/openSUSE:Factory/.python-seaborn.new.32243/python-seaborn.changes
Old:
----
seaborn-0.11.2.tar.gz
seaborn-pr2562-clustermap-colors.patch
New:
----
seaborn-0.12.2.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-seaborn.spec ++++++
--- /var/tmp/diff_new_pack.g5PtwD/_old 2023-01-12 22:45:01.173109571 +0100
+++ /var/tmp/diff_new_pack.g5PtwD/_new 2023-01-12 22:45:01.181109616 +0100
@@ -1,7 +1,7 @@
#
# spec file for package python-seaborn
#
-# Copyright (c) 2022 SUSE LLC
+# Copyright (c) 2023 SUSE LLC
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
@@ -16,40 +16,40 @@
#
-%{?!python_module:%define python_module() python3-%{**}}
-%define skip_python2 1
Name: python-seaborn
-Version: 0.11.2
+Version: 0.12.2
Release: 0
Summary: Statistical data visualization for python
-License: BSD-3-Clause
+License: BSD-2-Clause AND BSD-3-Clause AND MIT
Group: Development/Languages/Python
URL: https://github.com/mwaskom/seaborn
Source:
https://files.pythonhosted.org/packages/source/s/seaborn/seaborn-%{version}.tar.gz
-# PATCH-FIX-UPSTREAM seaborn-pr2562-clustermap-colors.patch --
gh#mwaskom/seaborn#2562
-Patch0:
https://github.com/mwaskom/seaborn/pull/2562.patch#/seaborn-pr2562-clustermap-colors.patch
-BuildRequires: %{python_module fastcluster}
-BuildRequires: %{python_module ipython}
-BuildRequires: %{python_module matplotlib >= 2.1.2}
-BuildRequires: %{python_module notebook}
-BuildRequires: %{python_module numpy-devel >= 1.13.3}
-BuildRequires: %{python_module pandas >= 0.22.0}
-BuildRequires: %{python_module patsy}
-BuildRequires: %{python_module pytest}
-BuildRequires: %{python_module scipy >= 1.0.1}
-BuildRequires: %{python_module setuptools}
-BuildRequires: %{python_module statsmodels}
+BuildRequires: %{python_module base >= 3.7}
+BuildRequires: %{python_module flit-core >= 3.2}
+BuildRequires: %{python_module matplotlib >= 3.1}
+BuildRequires: %{python_module numpy-devel >= 1.17}
+BuildRequires: %{python_module pandas >= 0.25}
+BuildRequires: %{python_module pip}
+BuildRequires: %{python_module typing-extensions if %python-base < 3.8}
BuildRequires: fdupes
BuildRequires: python-rpm-macros
BuildConflicts: python-buildservice-tweak
-Requires: python-matplotlib >= 2.1.2
-Requires: python-numpy >= 1.13.3
-Requires: python-pandas >= 0.22.0
-Requires: python-scipy >= 1.0.1
-Recommends: python-Pillow
+Requires: python-matplotlib >= 3.1
+Requires: python-numpy >= 1.17
+Requires: python-pandas >= 0.25
+%if %{python_version_nodots} < 38
+Requires: python-typing-extensions
+%endif
Recommends: python-fastcluster
-Recommends: python-patsy
-Recommends: python-statsmodels
+Recommends: python-scipy >= 1.3
+Recommends: python-statsmodels >= 0.10
+# SECTION tests with extras
+BuildRequires: %{python_module fastcluster}
+BuildRequires: %{python_module pytest-xdist}
+BuildRequires: %{python_module pytest}
+BuildRequires: %{python_module scipy >= 1.3}
+BuildRequires: %{python_module statsmodels >= 0.10}
+# /SECTION
BuildArch: noarch
%python_subpackages
@@ -78,35 +78,21 @@
%prep
%autosetup -p1 -n seaborn-%{version}
+# remove shebang
+sed -i '1{/env python/d}' seaborn/external/appdirs.py
%build
-%python_build
+%pyproject_wheel
%install
-%python_install
+%pyproject_install
%python_expand %fdupes %{buildroot}%{$python_sitelib}
%check
-# Test code is not ready for matplotlib 3.5 yet: gh#mwaskom/seaborn#2663,
gh#mwaskom/seaborn#2690, gh#mwaskom/seaborn#2693 (no live code changes, only
testing)
-donttest+=" (TestBoxPlotter and test_axes_data)"
-donttest+=" or (TestBoxPlotter and test_draw_missing_boxes)"
-donttest+=" or (TestBoxPlotter and test_missing_data)"
-donttest+=" or (TestCatPlot and test_plot_elements)"
-donttest+=" or (TestKDEPlotUnivariate and test_legend)"
-donttest+=" or (TestKDEPlotBivariate and test_fill_artists)"
-donttest+=" or (TestKDEPlotBivariate and test_common_norm)"
-donttest+=" or (TestKDEPlotBivariate and test_log_scale)"
-donttest+=" or (TestKDEPlotBivariate and test_bandwidth)"
-donttest+=" or (TestKDEPlotBivariate and test_weights)"
-donttest+=" or (TestKDEPlotBivariate and test_hue_ignores_cmap)"
-donttest+=" or (TestKDEPlotBivariate and test_contour_line_colors)"
-donttest+=" or (TestKDEPlotBivariate and test_levels_and_thresh)"
-donttest+=" or (TestDisPlot and test_with_rug)"
-donttest+=" or (TestDisPlot and test_bivariate_kde_norm)"
-%pytest seaborn -k "not ($donttest)"
+%pytest -n auto -rfEs
%files %{python_files}
-%license LICENSE licences/*
+%license LICENSE.md licences/*
%doc README.md
%{python_sitelib}/seaborn
%{python_sitelib}/seaborn-%{version}*-info
++++++ seaborn-0.11.2.tar.gz -> seaborn-0.12.2.tar.gz ++++++
++++ 87856 lines of diff (skipped)
