Seaborn: v0.8.1 Release

Release date:
September 3, 2017
Previous version:
v0.8.0 (released July 8, 2017)
Magnitude:
950 Diff Delta
Contributors:
5 total committers
Data confidence:
Commits:

51 Commits in this Release

Ordered by the degree to which they evolved the repo in this version.

Authored July 13, 2017
Authored August 27, 2017
Authored September 2, 2017
Authored July 11, 2017
Authored August 27, 2017
Authored September 3, 2017
Authored July 15, 2017
Authored July 9, 2017
Authored September 3, 2017
Authored August 30, 2017
Authored August 27, 2017
Authored July 8, 2017
Authored July 8, 2017
Authored July 13, 2017
Authored July 8, 2017
Authored August 30, 2017
Authored July 11, 2017
Authored July 9, 2017

Top Contributors in v0.8.1

mwaskom
tkf
gfyoung
pyeguy
alvarouc

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Release Notes Published

v0.8.1 (September 2017)

  • Added a warning in FacetGrid when passing a categorical plot function without specifying order (or hue_order when hue is used), which is likely to produce a plot that is incorrect.

  • Improved compatibility between FacetGrid or PairGrid and interactive matplotlib backends so that the legend no longer remains inside the figure when using legend_out=True.

  • Changed categorical plot functions with small plot elements to use dark_palette instead of light_palette when generating a sequential palette from a specified color.

  • Improved robustness of kdeplot and distplot to data with fewer than two observations.

  • Fixed a bug in clustermap when using yticklabels=False.

  • Fixed a bug in pointplot where colors were wrong if exactly three points were being drawn.

  • Fixed a bug inpointplot where legend entries for missing data appeared with empty markers.

  • Fixed a bug in clustermap where an error was raised when annotating the main heatmap and showing category colors.

  • Fixed a bug in clustermap where row labels were not being properly rotated when they overlapped.

  • Fixed a bug in kdeplot where the maximum limit on the density axes was not being updated when multiple densities were drawn.

  • Improved compatibility with future versions of pandas.