I am using the example from the docs (with a slightly modified data structure): import matplotlib.pyplot as plt import numpy as np import pandas as pd data = pd.DataFrame({"peaches":[1,4,7,5,8,2,5,7], "oranges":[2,7,9,1,9,2,7,3], "tomato":[3,8,5,4,5,6,7,1]}) labels = ['peaches', 'oranges', 'tomatoes'] colors = ['peachpuff', 'orange', 'tomato'] fig, ax = plt.subplots() ax.set_ylabel('fruit weight (g)') bplot = ax.boxplot(data, patch_artist=True, # fill with color tick_labels=labels) # will be used to label x-ticks plt.show() What I need to do is color the top part of each box (I.E. median to Q3) with one shade of blue, and the bottom part (median to Q2) with a deeper shade of blue (ignore the colors given in the example). I think this is achieved by iterating through and adding a rectangle using ax.add.patch(plt.Rectangle). But as a relative beginner in this area I can't work out how to iterate through the data and the boxplot. Please can anyone assist? Continue reading...
