Software Open Access
mwaskom/seaborn: v0.9.1 (January 2020)
Michael Waskom; Olga Botvinnik; Joel Ostblom; Saulius Lukauskas; Paul Hobson; MaozGelbart; David C Gemperline; Tom Augspurger; Yaroslav Halchenko; John B. Cole; Jordi Warmenhoven; Julian de Ruiter; Cameron Pye; Stephan Hoyer; Jake Vanderplas; Santi Villalba; Gero Kunter; Eric Quintero; Pete Bachant; Marcel Martin; Kyle Meyer; Corban Swain; Alistair Miles; Thomas Brunner; Drew O'Kane; Tal Yarkoni; Mike Lee Williams; Constantine Evans; Clark Fitzgerald; Brian
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<dct:title>mwaskom/seaborn: v0.9.1 (January 2020)</dct:title>
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<dct:description>v0.9.1 (January 2020) <p>This is a minor release with a number of bug fixes and adaptations to changes in seaborn's dependencies. There are also several new features.</p> <p>This is the final version of seaborn that will support Python 2.7 or 3.5.</p> New features <ul> <li>Added more control over the arrangement of the elements drawn by <code>clustermap</code> with the <code>{dendrogram,colors}_ratio</code> and <code>cbar_pos</code> parameters. Additionally, the default organization and scaling with different figure sizes has been improved.</li> <li>Added the <code>corner</code> option to <code>PairGrid</code> and <code>pairplot</code> to make a grid without the upper triangle of bivariate axes.</li> <li>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 <code>seed</code> parameter, which can take either fixed seed (typically an <code>int</code>) or a numpy random number generator object (either the newer <code>numpy.random.Generator</code> or the older <code>numpy.random.mtrand.RandomState</code>).</li> <li>Generalized the idea of "diagonal" axes in <code>PairGrid</code> to any axes that share an x and y variable.</li> <li>In <code>PairGrid</code>, the <code>hue</code> variable is now excluded from the default list of variables that make up the rows and columns of the grid.</li> <li>Exposed the <code>layout_pad</code> parameter in <code>PairGrid</code> and set a smaller default than what matptlotlib sets for more efficient use of space in dense grids.</li> <li>It is now possible to force a categorical interpretation of the <code>hue</code> varaible in a relational plot by passing the name of a categorical palette (e.g. <code>"deep"</code>, or <code>"Set2"</code>). This complements the (previously supported) option of passig a list/dict of colors.</li> <li>Added the <code>tree_kws</code> parameter to <code>clustermap</code> to control the properties of the lines in the dendrogram.</li> <li>Added the ability to pass hierarchical label names to the <code>FacetGrid</code> legend, which also fixes a bug in <code>relplot</code> when the same label appeared in diffent semantics.</li> <li>Improved support for grouping observations based on pandas index information in categorical plots.</li> </ul> Bug fixes and adaptations <ul> <li>Avoided an error when singular data is passed to <code>kdeplot</code>, issuing a warning instead. This makes <code>pairplot</code> more robust.</li> <li>Fixed the behavior of <code>dropna</code> in <code>PairGrid</code> to properly exclude null datapoints from each plot when set to <code>True</code>.</li> <li>Fixed an issue where <code>regplot</code> could interfere with other axes in a multi-plot matplotlib figure.</li> <li>Semantic variables with a <code>category</code> data type will always be treated as categorical in relational plots.</li> <li>Avoided a warning about color specifications that arose from <code>boxenplot</code> on newer matplotlibs.</li> <li>Adapted to a change in how matplotlib scales axis margins, which caused multiple calls to <code>regplot</code> with <code>truncate=False</code> to progressively expand the x axis limits. Because there are currently limitations on how autoscaling works in matplotlib, the default value for <code>truncate</code> in seaborn has also been changed to <code>True</code>.</li> <li>Relational plots no longer error when hue/size data are inferred to be numeric but stored with a string datatype.</li> <li>Relational plots now consider semantics with only a single value that can be interpreted as boolean (0 or 1) to be categorical, not numeric.</li> <li>Relational plots now handle list or dict specifications for <code>sizes</code> correctly.</li> <li>Fixed an issue in <code>pointplot</code> where missing levels of a hue variable would cause an exception after a recent update in matplotlib.</li> <li>Fixed a bug when setting the rotation of x tick labels on a <code>FacetGrid</code>.</li> <li>Fixed a bug where values would be excluded from categorical plots when only one variable was a pandas <code>Series</code> with a non-default index.</li> <li>Fixed a bug when using <code>Series</code> objects as arguments for <code>x_partial</code> or <code>y_partial</code> in <code>regplot</code>.</li> <li>Fixed a bug when passing a <code>norm</code> object and using color annotations in <code>clustermap</code>.</li> <li>Fixed a bug where annotations were not rearranged to match the clustering in <code>clustermap</code>.</li> <li>Fixed a bug when trying to call <code>set</code> while specifying a list of colors for the palette.</li> <li>Fixed a bug when resetting the color code short-hands to the matplotlib default.</li> <li>Avoided errors from stricter type checking in upcoming <code>numpy</code> changes.</li> <li>Avoided error/warning in <code>lineplot</code> when plotting categoricals with empty levels.</li> <li>Allowed <code>colors</code> to be passed through to a bivariate <code>kdeplot</code>.</li> <li>Standardized the output format of custom color palette functions.</li> <li>Fixed a bug where legends for numerical variables in a relational plot could show a surprisingly large number of decimal places.</li> <li>Improved robustness to missing values in distribution plots.</li> <li>Made it possible to specify the location of the <code>FacetGrid</code> legend using matplotlib keyword arguments.</li> </ul></dct:description>
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| All versions | This version | |
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| Views | 30,514 | 552 |
| Downloads | 1,474 | 40 |
| Data volume | 952.2 MB | 13.9 MB |
| Unique views | 22,057 | 464 |
| Unique downloads | 1,177 | 40 |
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