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Statistical data visualization in Python
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Seaborn v0.7.1

Seaborn: v0.7.1 Release

Release date:
June 5, 2016
Previous version:
v0.7.0 (released January 25, 2016)
Magnitude:
1,745 Diff Delta
Contributors:
10 total committers
Data confidence:
Commits:
72 impacting commits

72 Commits in this Release

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

Clean up top-level seaborn namespace
Authored April 26, 2016
Refactoring of dataframe/series color support + added tests.
Authored March 2, 2016
Fix #719 by converting the format templates in FacetGrid.set_titles() to Unicode.
Authored March 13, 2016
Refactored and unit tested luminance calculation
Authored January 26, 2016
Convert labels to list, fix bug in checking for col_color_labels.
Authored March 6, 2016
Added jat255's cchanges with some edits to get tests passing stil some errors
Authored March 30, 2016
Vectorize relative luminance computation
Authored March 5, 2016
Streamline heatmap prep and clarify docs
Authored April 25, 2016
Add tests for Unicode-related #719
Authored March 13, 2016
Add error bar caps to gallery script and API docs
Authored April 24, 2016
Remove annot_data as kw, use annot instead. Gracefully check if annot is bool or not, and assign internal annot_data variable respectively
Authored March 18, 2016
Change conf_lw to errwidth
Authored April 7, 2016
Added Tests for errobar caps
Authored April 7, 2016
Show multiple step histrograms in API examples
Authored March 5, 2016
restructured for loop to handle capsize logic inside loop, and write loop only once
Authored April 7, 2016
PEP8 fixes
Authored March 13, 2016
Also support series names as labels.
Authored March 1, 2016
Fix https://github.com/mwaskom/seaborn/issues/929
Authored May 20, 2016
Added unit test for histtype behavior
Authored February 18, 2016
Add test for ``to_utf8`` function.
Authored March 13, 2016
Change luminance calculations for Annotation color choice
Authored January 26, 2016
Added ability to override histtype when plotting PairGrid histograms using map_diag
Authored February 17, 2016
added annot_data arugment and propagated to classes/methods
Authored March 14, 2016
Fix header interference in doc linking, fixes #610
Authored May 14, 2016
Move default cbar ticks setting to __init__ of HeatMapper, and use set_default so it can be overwritten
Authored February 23, 2016
Add test for setting number of colorbar ticks
Authored February 23, 2016
Add annot_data as default kws for testing
Authored March 15, 2016
Skip missing cats FacetGrid test if pandas does not have cats
Authored May 21, 2016
Capture original rcparams at import time and use to reset
Authored April 25, 2016
Added Error Bar Cap Functionality All Tests Passing
Authored March 31, 2016
fixed whitespace error and added an example script
Authored February 17, 2016
Add case for when annot_data is a numpy array
Authored March 14, 2016
Support dataframes as row_colors and col_colors.
Authored March 1, 2016
Change max number of ticks for testing to 3
Authored February 23, 2016
small change to example, added off_diag plots
Authored February 18, 2016
Fix scipy univariate KDE bandwidth scale (fixes #918)
Authored June 5, 2016
Set errwidth directly instead of scaling
Authored April 7, 2016
Back to development
Authored January 25, 2016
Explicitly test against None
Authored April 7, 2016
Add file for 0.7.1 release notes
Authored March 5, 2016

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Top Contributors in v0.7.1

mwaskom
dcgemperline
jrderuiter
gkunter-d30a
olgabot
BrianLandry
gravish-nick-8258
mikepqr
adelq
toddrme2178

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Release Notes Published

  • Added the ability to put "caps" on the error bars that are drawn by barplot or pointplot (and, by extension, factorplot). Additionally, the line width of the error bars can now be controlled. These changes involve the new parameters capsize and errwidth. See the github pull request for examples of usage.
  • Improved the row and column colors display in clustermap. It is now possible to pass Pandas objects for these elements and, when possible, the semantic information in the Pandas objects will be used to add labels to the plot. When Pandas objects are used, the color data is matched against the main heatmap based on the index, not on position. This is more accurate, but it may lead to different results if current code assumed positional matching.
  • Improved the luminance calculation that determines the annotation color in heatmap.
  • The annot parameter of heatmap now accepts a rectangular dataset in addition to a boolean value. If a dataset is passed, its values will be used for the annotations, while the main dataset will be used for the heatmap cell colors.
  • Fixed a bug in FacetGrid that appeared when using col_wrap with missing col levels.
  • Made it possible to pass a tick locator object to the heatmap colorbar.
  • Made it possible to use different styles (e.g., step) for PairGrid histograms when there are multiple hue levels.
  • Fixed a bug in scipy-based univariate kernel density bandwidth calculation.
  • The reset_orig function (and, by extension, importing seaborn.apionly) resets matplotlib rcParams to their values at the time seaborn itself was imported, which should work better with rcParams changed by the jupyter notebook backend.
  • Removed some objects from the top-level seaborn namespace.
  • Improved unicode compatibility in FacetGrid.
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