[Matplotlib-users] boxplot -- how (more)

[Virgil S. <vs...@it...>]

In reference to my previous email.

How can I find the outliers (samples points beyond the whiskers) in the data 
used for the boxplot?

Here is a code snippet that shows how it was used for the timings data (a list 
of 4 sublists (y1,y2,y3,y4), each containing 400,000 real data values),
   ...
   ...
   ...
   # Box Plots
   plt.subplot(2,1,2)
   timings = [y1,y2,y3,y4]
   pos = np.array(range(len(timings)))+1
   bp = plt.boxplot( timings, sym='k+', patch_artist=True,
                    positions=pos, notch=1, bootstrap=5000 )

   plt.xlabel('Algorithm')
   plt.ylabel('Exection time (sec)')
   plt.ylim(0.9*ymin,1.1*ymax)

   plt.setp(bp['whiskers'], color='k',  linestyle='-' )
   plt.setp(bp['fliers'], markersize=3.0)
   plt.title('Box plots (%4d trials)' %(n))
   plt.show()
   ...
   ...
   ...

Again my questions:
1) How to get the value of the median?
2) How to find the outliers (outside the whiskers)?
3) How to find the width of the notch?