As a side note, adding jitter has been discussed before
(https://github.com/matplotlib/matplotlib/issues/2750) in a slightly
different context and the consensus was to _not_ add it to mpl (as it
is a non-deterministic data transformation).
Tom
On Sat, Feb 15, 2014 at 10:45 PM, Yaroslav Halchenko
On Sat, 15 Feb 2014, Paul Hobson wrote:
>Those figures look great. Seaborn has some similar functionality (scroll
>down a bit):
>
> [1]http://nbviewer.ipython.org/github/mwaskom/seaborn/blob/master/examples/plotting_distributions.ipynb#Comparing-distributions:-boxplot-and-violinplot
r
Yaroslav,
Those figures look great. Seaborn has some similar functionality (scroll
down a bit):
http://nbviewer.ipython.org/github/mwaskom/seaborn/blob/master/examples/plotting_distributions.ipynb#Comparing-distributions:-boxplot-and-violinplot
The main point of the most recent overhaul of boxplo
Hi Paul,
On Sat, 15 Feb 2014, Paul Hobson wrote:
>As the author of the fix and the recent overhaul to boxplots
Thanks for that!
> I can say with certainty that R is wrong! ;-)
phew -- thanks ;)
>More seriously, the main thing that I take away from Tukey's paper about
>boxplots, is
Hey Yaroslav,
As the author of the fix and the recent overhaul to boxplots, I can say
with certainty that R is wrong! ;-)
More seriously, the main thing that I take away from Tukey's paper about
boxplots, is that there are many valid ways to draw them. I personally set
up the new boxplot function
Dear Matplotlib gurus,
Following the code to demonstrate recent(ish) fix for whiskers in boxplots:
https://github.com/matplotlib/matplotlib/pull/1855 I have compared it against
R's boxplot. Description seems to correspond, and all the percentiles are the
same in numpy and R (3.0.1) but R's boxplo
