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 Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
