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
Great, thanks!
Rgds
marcus
--
View this message in context:
http://matplotlib.1069221.n5.nabble.com/boxplot-behaviour-in-an-extreme-scenario-tp46027p46034.html
Sent from the matplotlib - users mailing list archive at Nabble.com.
I'm on python 2.
I get the same outputs after adding from __future__ import division.
--
View this message in context:
http://matplotlib.1069221.n5.nabble.com/boxplot-behaviour-in-an-extreme-scenario-tp46027p46031.html
Sent from the matplotlib - users mailing list archive at Nabble.com.
Uh, now I understand why it's behaving this way. Tx Paul.
From the documentation, it seems natural to expect the behaviour to be
uniform throughout the meaningful range for IQR.
How may I go about searching for the responsible code on my own in
situations like this?
From the perplexing behaviour
