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| Name: python39-seaborn | Distribution: openSUSE:Factory:zSystems |
| Version: 0.12.2 | Vendor: openSUSE |
| Release: 3.1 | Build date: Wed Sep 20 15:13:01 2023 |
| Group: Development/Languages/Python | Build host: s390zl26 |
| Size: 1937200 | Source RPM: python-seaborn-0.12.2-3.1.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://github.com/mwaskom/seaborn | |
| Summary: Statistical data visualization for python | |
Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. Some of the features that seaborn offers are: - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - Functions that visualize matrices of data and use clustering algorithms to discover structure in those matrices - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations
BSD-2-Clause AND BSD-3-Clause AND MIT
* Thu Sep 14 2023 Markéta Machová <mmachova@suse.com>
- Add inf_as_na.patch to fix tests again, this time with pandas
* Tue Aug 08 2023 Daniel Garcia <daniel.garcia@suse.com>
- Skip broken tests in i586
* Tue Aug 08 2023 Daniel Garcia <daniel.garcia@suse.com>
- Add numpy-1.25.patch gh#mwaskom/seaborn#3391
- Add statsmodels-0.14.patch gh#mwaskom/seaborn#3356
* Wed Jan 11 2023 Ben Greiner <code@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).
* Subplot titles will no longer be reset when calling
FacetGrid.map or FacetGrid.map_dataframe (2705).
* Added a workaround for a matplotlib issue that caused
figure-level functions to freeze when plt.show was called
(2925).
* Improved robustness to numerical errors in kdeplot (2862).
* Fixed a bug where rugplot was ignoring expand_margins=False
(2953).
* The patch.facecolor rc param is no longer set by set_palette
(or set_theme). This should have no general effect, because the
matplotlib default is now "C0" (2906).
* Made scipy an optional dependency and added <span class="...
- Move to PEP517 build with flit-core
- Drop seaborn-pr2562-clustermap-colors.patch
* Mon Nov 14 2022 pgajdos@suse.com
- python-six is not required
* Fri Jan 14 2022 Ben Greiner <code@bnavigator.de>
- Update to 0.11.2
* This is a minor release that addresses issues in the v0.11
series and adds a small number of targeted enhancements. It is
a recommended upgrade for all users.
* |Docs| A paper describing seaborn has been published in the
Journal of Open Source Software. The paper serves as an
introduction to the library and can be used to cite seaborn if
it has been integral to a scientific publication.
* |API| |Feature| In lmplot, added a new facet_kws
parameter and deprecated the sharex, sharey, and legend_out
parameters from the function signature; pass them in a
facet_kws dictionary instead (#2576).
* |Feature| Added a move_legend convenience function for
repositioning the legend on an existing axes or figure, along
with updating its properties. This function should be preferred
over calling ax.legend with no legend data, which does not
reliably work across seaborn plot types (#2643).
* |Feature| In histplot, added stat="percent" as an option
for normalization such that bar heights sum to 100 and
stat="proportion" as an alias for the existing
stat="probability" (#2461, #2634).
* |Feature| Added FacetGrid.refline and JointGrid.refline
methods for plotting horizontal and/or vertical reference lines
on every subplot in one step (#2620).
* |Feature| In kdeplot, added a warn_singular parameter to
silence the warning about data with zero variance (#2566).
* |Enhancement| In histplot, improved performance with large
datasets and many groupings/facets (#2559, #2570).
* |Enhancement| The FacetGrid, PairGrid, and JointGrid
objects now reference the underlying matplotlib figure with a
.figure attribute. The existing .fig attribute still exists but
is discouraged and may eventually be deprecated. The effect is
that you can now call obj.figure on the return value from any
seaborn function to access the matplotlib object (#2639).
* |Enhancement| In FacetGrid and functions that use it,
visibility of the interior axis labels is now disabled, and
exterior axis labels are no longer erased when adding
additional layers. This produces the same results for plots
made by seaborn functions, but it may produce different
(better, in most cases) results for customized facet plots
(#2583).
* |Enhancement| In FacetGrid, PairGrid, and functions that
use them, the matplotlib figure.autolayout parameter is
disabled to avoid having the legend overlap the plot (#2571).
* |Enhancement| The load_dataset helper now produces a more
informative error when fed a dataframe, easing a common
beginner mistake (#2604).
* |Fix| |Enhancement| Improved robustness to missing
data, including some additional support for the pd.NA type
(#2417, #2435).
* |Fix| In ecdfplot and rugplot, fixed a bug where results
were incorrect if the data axis had a log scale before plotting
(#2504).
* |Fix| In histplot, fixed a bug where using shrink with
non-discrete bins shifted bar positions inaccurately (#2477).
* |Fix| In displot, fixed a bug where common_norm=False was
ignored when faceting was used without assigning hue (#2468).
* |Fix| In histplot, fixed two bugs where automatically
computed edge widths were too thick for log-scaled histograms
and for categorical histograms on the y axis (#2522).
* |Fix| In histplot and kdeplot, fixed a bug where the alpha
parameter was ignored when fill=False (#2460).
* |Fix| In histplot and kdeplot, fixed a bug where the
multiple parameter was ignored when hue was provided as a
vector without a name (#2462).
* |Fix| In displot, the default alpha value now adjusts to a
provided multiple parameter even when hue is not assigned
(#2462).
* |Fix| In displot, fixed a bug that caused faceted 2D
histograms to error out with common_bins=False (#2640).
* |Fix| In rugplot, fixed a bug that prevented the use of
datetime data (#2458).
* |Fix| In relplot and displot, fixed a bug where the
dataframe attached to the returned FacetGrid object dropped
columns that were not used in the plot (#2623).
* |Fix| In relplot, fixed an error that would be raised when
one of the column names in the dataframe shared a name with one
of the plot variables (#2581).
* |Fix| In the relational plots, fixed a bug where legend
entries for the size semantic were incorrect when size_norm
extrapolated beyond the range of the data (#2580).
* |Fix| In lmplot and regplot, fixed a bug where the x axis
was clamped to the data limits with truncate=True (#2576).
* |Fix| In lmplot, fixed a bug where sharey=False did not
always work as expected (#2576).
* |Fix| In heatmap, fixed a bug where vertically-rotated
y-axis tick labels would be misaligned with their rows (#2574).
* |Fix| Fixed an issue that prevented Python from running in
- OO mode while using seaborn (#2473).
* |Docs| Improved the API documentation for theme-related
functions (#2573).
* |Docs| Added docstring pages for all methods on documented
classes (#2644).
- Skip tests failing on Matplotlib 3.5
* gh#mwaskom/seaborn#2663
* Sat Apr 24 2021 Ben Greiner <code@bnavigator.de>
- Add seaborn-pr2562-clustermap-colors.patch for matplotlib 3.4
compatibility gh#mwaskom/seaborn#2562
* Fri Jan 22 2021 Benjamin Greiner <code@bnavigator.de>
- Disable python36 build because SciPy dropped Python 3.6 and
NumPy will do the same in 1.20
- Remove nose dependency
* Tue Jan 19 2021 andy great <andythe_great@pm.me>
- Update to version 0.11.1.
* Enhancement Reduced the use of matplotlib global state in the
multi-grid classes.
* Fix Restored support for using tuples or numeric keys to
reference fields in a long-form data object.
* Fixed a bug in lineplot() where NAs were propagating into the
confidence interval, sometimes erasing it from the plot.
* Fixed a bug in PairGrid/pairplot() where diagonal axes would
be empty when the grid was not square and the diagonal axes
did not contain the marginal plots.
* Fixed a bug in PairGrid/pairplot() where off-diagonal plots
would not appear when column names in data had non-string type.
* Fixed a bug where categorical dtype information was ignored
when data consisted of boolean or boolean-like values.
* Fixed a bug in FacetGrid where interior tick labels would be
hidden when only the orthogonal axis was shared.
* Fixed a bug in FacetGrid that caused an error when
legend_out=False was set.
* Fixed a bug in kdeplot() where common_norm=True was ignored if
hue was not assigned.
* Fixed a bug in displot() where the row_order and col_order
parameters were not used.
* Fixed a bug in PairGrid/pairplot() that caused an exception
when using corner=True and diag_kind=None.
* Fixed a bug in clustermap() where annot=False was ignored.
* Fixed a bug in clustermap() where row/col color annotations
could not have a categorical dtype.
* Fixed a bug in boxenplot() where the linewidth parameter was
ignored.
* Fix Raise a more informative error in PairGrid/pairplot() when
no variables can be found to define the rows/columns of the grid.
* Fix Raise a more informative error from clustermap() if row/col
color objects have semantic index but data object does not.
* Wed Sep 23 2020 Dirk Mueller <dmueller@suse.com>
- update to 0.11.0:
* major release with several important new features, enhancements to existing
functions, and changes to the library. Highlights include an overhaul and
modernization of the distributions plotting functions, more flexible data
specification, new colormaps, and better narrative documentation.
https://medium.com/@michaelwaskom/announcing-the-release-of-seaborn-0-11-3df0341af042
* Sat May 09 2020 Arun Persaud <arun@gmx.de>
- specfile:
* removed use_platform_int.patch included upstream
- update to version 0.10.1:
* Fixed a bug that appeared within the bootstrapping algorithm on
32-bit systems.
* Fixed a bug where :func:`regplot` would crash on singleton
inputs. Now a crash is avoided and regression estimation/plotting
is skipped.
* Fixed a bug where :func:`heatmap` would ignore user-specified
under/over/bad values when recentering a colormap.
* Fixed a bug where :func:`heatmap` would use values from masked
cells when computing default colormap limits.
* Fixed a bug where :func:`despine` would cause an error when trying
to trim spines on a matplotlib categorical axis.
* Adapted to a change in matplotlib that caused problems with single
swarm plots.
* Added the "showfliers" parameter to :func:`boxenplot` to suppress
plotting of outlier data points, matching the API of
:func:`boxplot`.
* Avoided seeing an error from statmodels when data with an IQR of 0
is passed to :func:`kdeplot`.
* Added the "legend.title_fontsize" to the :func:`plotting_context`
definition.
* Deprecated several utility functions that are no longer used
internally ("percentiles", "sig_stars", "pmf_hist", and
"sort_df").
* Thu Jan 30 2020 Todd R <toddrme2178@gmail.com>
- Update to 0.10.0
* Most notably, all support for Python 2 has now been dropped.
* Support for Python 3.5 has also been dropped.
* Minimally supported versions of the dependent PyData libraries have also been increased, in some cases substantially.
* This release also removes a few previously-deprecated features:
> The ``tsplot`` function and ``seaborn.timeseries`` module have been removed. Recall that ``tsplot`` was replaced with :func:`lineplot`.
> The ``seaborn.apionly`` entry-point has been removed.
> The ``seaborn.linearmodels`` module (previously renamed to ``seaborn.regression``) has been removed.
- Update to 0.9.1
+ New features
* Added more control over the arrangement of the elements drawn by :func:`clustermap` with the ``{dendrogram,colors}_ratio`` and ``cbar_pos`` parameters. Additionally, the default organization and scaling with different figure sizes has been improved.
* Added the ``corner`` option to :class:`PairGrid` and :func:`pairplot` to make a grid without the upper triangle of bivariate axes.
* Added the ability to seed the random number generator for the bootstrap used to define error bars in several plots. Relevant functions now have a ``seed`` parameter, which can take either fixed seed (typically an ``int``) or a numpy random number generator object (either the newer :class:`numpy.random.Generator` or the older :class:`numpy.random.mtrand.RandomState`).
* Generalized the idea of "diagonal" axes in :class:`PairGrid` to any axes that share an x and y variable.
* In :class:`PairGrid`, the ``hue`` variable is now excluded from the default list of variables that make up the rows and columns of the grid.
* Exposed the ``layout_pad`` parameter in :class:`PairGrid` and set a smaller default than what matptlotlib sets for more efficient use of space in dense grids.
* It is now possible to force a categorical interpretation of the ``hue`` varaible in a relational plot by passing the name of a categorical palette (e.g. ``"deep"``, or ``"Set2"``). This complements the (previously supported) option of passig a list/dict of colors.
* Added the ``tree_kws`` parameter to :func:`clustermap` to control the properties of the lines in the dendrogram.
* Added the ability to pass hierarchical label names to the :class:`FacetGrid` legend, which also fixes a bug in :func:`relplot` when the same label appeared in diffent semantics.
* Improved support for grouping observations based on pandas index information in categorical plots.
+ Bug fixes and adaptations
* Avoided an error when singular data is passed to :func:`kdeplot`, issuing a warning instead. This makes :func:`pairplot` more robust.
* Fixed the behavior of ``dropna`` in :class:`PairGrid` to properly exclude null datapoints from each plot when set to ``True``.
* Fixed an issue where :func:`regplot` could interfere with other axes in a multi-plot matplotlib figure.
* Semantic variables with a ``category`` data type will always be treated as categorical in relational plots.
* Avoided a warning about color specifications that arose from :func:`boxenplot` on newer matplotlibs.
* Adapted to a change in how matplotlib scales axis margins, which caused multiple calls to :func:`regplot` with ``truncate=False`` to progressively expand the x axis limits. Because there are currently limitations on how autoscaling works in matplotlib, the default value for ``truncate`` in seaborn has also been changed to ``True``.
* Relational plots no longer error when hue/size data are inferred to be numeric but stored with a string datatype.
* Relational plots now consider semantics with only a single value that can be interpreted as boolean (0 or 1) to be categorical, not numeric.
* Relational plots now handle list or dict specifications for ``sizes`` correctly.
* Fixed an issue in :func:`pointplot` where missing levels of a hue variable would cause an exception after a recent update in matplotlib.
* Fixed a bug when setting the rotation of x tick labels on a :class:`FacetGrid`.
* Fixed a bug where values would be excluded from categorical plots when only one variable was a pandas ``Series`` with a non-default index.
* Fixed a bug when using ``Series`` objects as arguments for ``x_partial`` or ``y_partial`` in :func:`regplot`.
* Fixed a bug when passing a ``norm`` object and using color annotations in :func:`clustermap`.
* Fixed a bug where annotations were not rearranged to match the clustering in :func:`clustermap`.
* Fixed a bug when trying to call :func:`set` while specifying a list of colors for the palette.
* Fixed a bug when resetting the color code short-hands to the matplotlib default.
* Avoided errors from stricter type checking in upcoming ``numpy`` changes.
* Avoided error/warning in :func:`lineplot` when plotting categoricals with empty levels.
* Allowed ``colors`` to be passed through to a bivariate :func:`kdeplot`.
* Standardized the output format of custom color palette functions.
* Fixed a bug where legends for numerical variables in a relational plot could show a surprisingly large number of decimal places.
* Improved robustness to missing values in distribution plots.
* Made it possible to specify the location of the :class:`FacetGrid` legend using matplotlib keyword arguments.
- Drop upstream-included fix_labels_rotation.patch
- Add use_platform_int.patch to fix 32bit builds
See https://github.com/mwaskom/seaborn/pull/1952
* Wed Jan 08 2020 Todd R <toddrme2178@gmail.com>
- Disable tests that are incompatible with numpy 1.18
See: https://github.com/mwaskom/seaborn/issues/1917
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Fabrice Bellet, Mon Apr 29 23:40:03 2024