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Releases: ACCLAB/DABEST-python

v0.2.2

16 Apr 08:05
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Fix plot error when effect size is 0 (See PR #30)

v0.2.1

27 Mar 07:51
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Merge branch 'josesho-v0.2.1' into v0.2.1

v0.2.0

27 Mar 07:51
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Merge pull request #24 from josesho/v0.2.0

update README

v0.1.7

15 Jan 09:07
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The keyword cumming_vertical_spacing has been added to tweak the vertical spacing between the rawdata swarm axes and the contrast axes in Cumming estimation plots.

v0.1.6

15 Jan 09:06
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Several keywords have been added to allow more fine-grained control over a selection of plot elements.

  • swarm_dotsize
  • difference_dotsize
  • ci_linewidth
  • summary_linewidth
  • context (allows you to set the plotting context as defined by seaborn’s plotting_context()).

Now, if paired=True, you will need to supply an id_col, which is a column in the DataFrame which specifies which sample the datapoint belongs to.

v0.1.5

07 Aug 06:40
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Fixed bug that was not installing seaborn 0.9.

v0.1.4

03 Aug 07:36
0fe9bf3
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Update dependencies to

  • numpy 1.15
  • scipy 1.1
  • matplotlib 2.2
  • seaborn 0.9

Aesthetic changes

  • add tick_length and tick_pad arguments to allow tweaking of the axes tick lengths, and padding of the tick labels, respectively.

v0.1.3

14 Jun 10:04
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  • update pandas requirement to v0.23
  • fix bug that did not label swarm_label if raw data was in tidy form
  • fix bug that did not dropnans for unpaired diff

v0.1.2

04 Jan 10:52
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Dependencies have been updated.

v0.1.1

03 Jan 04:54
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Merge pull request #13 from ACCLAB/fix-tests

Fix tests