Releases: ACCLAB/DABEST-python
Releases · ACCLAB/DABEST-python
v0.2.4
17 May 05:58
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Update release-notes.rst
Fix typo
v0.2.3
17 May 05:58
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Merge pull request #36 from josesho/v0.2.3
v0.2.3
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
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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