Re: [Matplotlib-users] boxplot behaviour in an extreme scenario

[Paul H. <pmh...@gm...>]

Are you running python 2 or python 3? If you're on python 2, what happens
if you add "from __future__ import division" to the top of your script?

On Tue, Aug 25, 2015 at 10:31 PM, chtan <ch...@un...> wrote:

> Hi,
>
> the outliers in the boxplot do not seem to be drawn in the following
> extreme
> scenario:
> Data Value: 1, Frequency: 5
> Data Value: 2, Frequency: 100
> Data Value: 3, Frequency: 5
>
> Here, Q1 = Q2 = Q3, so IQR = 0.
> Data values 1 and 3 are therefore outliers according to the definition in
> the api
> (Refer to parameter "whis" under "boxplot":
> http://matplotlib.org/api/pyplot_api.html
> <http://matplotlib.org/api/pyplot_api.html>  )
>
> But the code below produces a boxplot that shows them as max-min whiskers
> (rather than fliers):
>
> import matplotlib.pyplot as plt
> data = 100 * [2] + 5 * [1] + 5 * [3]
> ax = plt.gca()
> bp = ax.boxplot(data, showfliers=True)
> for flier in bp['fliers']:
>     flier.set(marker='o', color='gray')
>
> <http://matplotlib.1069221.n5.nabble.com/file/n46027/figure_1.png>
>
>
> What I though it would look like is obtained by perturbing half of the data
> points 2 to 2.000001:
>
> <http://matplotlib.1069221.n5.nabble.com/file/n46027/figure_2.png>
>
>
> Is this a bug or I'm not getting something right?
>
> rgds
> marcus
>
>
>
> --
> View this message in context:
> http://matplotlib.1069221.n5.nabble.com/boxplot-behaviour-in-an-extreme-scenario-tp46027.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
> ------------------------------------------------------------------------------
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>