Overlaying The Numeric Value Of Median/variance In Boxplots

When using box plots in Python, is there any way to automatically/easily overlay the value of the median & variance on top of each box (or at least the numerical value of the m

Solution 1:

Assuming you are using the boxplot function to draw the boxplots, it returns a dictionary that holds the components of the graph. Note that the box represent the inner quartile range (25 to 75th percentile) and not the standard deviation.

>>> bp_dict = boxplot(data, vert=False) # draw horizontal boxplot>>> bp_dict.keys()
>>> bp_dict.keys()
['medians', 'fliers', 'whiskers', 'boxes', 'caps']

These contain the Line2D objects that form each of the plot elements. You can use the Line2D.get_xydata method to get the median and box positions (in data coords) to figure out where to position your text.

from pylab import *

# from http://matplotlib.org/examples/pylab_examples/boxplot_demo.html# fake up some data
spread= rand(50) * 100
center = ones(25) * 50
flier_high = rand(10) * 100 + 100
flier_low = rand(10) * -100
data =concatenate((spread, center, flier_high, flier_low), 0)

# fake up some more data
spread= rand(50) * 100
center = ones(25) * 40
flier_high = rand(10) * 100 + 100
flier_low = rand(10) * -100
d2 = concatenate( (spread, center, flier_high, flier_low), 0 )
data.shape = (-1, 1)
d2.shape = (-1, 1)
#data = concatenate( (data, d2), 1 )# Making a 2-D array only works if all the columns are the# same length.  If they are not, then use a list instead.# This is actually more efficient because boxplot converts# a 2-D array into a list of vectors internally anyway.
data = [data, d2, d2[::2,0]]

# multiple box plots on one figure
figure()

# get dictionary returned from boxplot
bp_dict = boxplot(data, vert=False)

for line in bp_dict['medians']:
    # get position data for median linex, y = line.get_xydata()[1] # top of median line# overlay median value
    text(x, y, '%.1f' % x,
         horizontalalignment='center') # draw above, centeredfor line in bp_dict['boxes']:
    x, y = line.get_xydata()[0] # bottom of left line
    text(x,y, '%.1f' % x,
         horizontalalignment='center', # centered
         verticalalignment='top')      # belowx, y = line.get_xydata()[3] # bottom of right line
    text(x,y, '%.1f' % x,
         horizontalalignment='center', # centered
             verticalalignment='top')      # below

show()

Solution 2:

A little correction:

for line in bp_dict['medians']:
  # get position data for median line
  x, y = line.get_xydata()[1]  # top of median line# overlay median value
  text(x, y, '%.1f' % x, horizontalalignment='center')  # draw above, centeredfor box in bp_dict['boxes']:
  x, y = box.get_path().vertices[0]  # bottom of left line
  text(x, y, '%.1f' % x, horizontalalignment='center',  # centered
  verticalalignment='top')      # below
  x, y = box.get_path().vertices[6]  # bottom of right line
  text(x, y, '%.1f' % x,
    horizontalalignment='center',  # centered
    verticalalignment='top')      # below