How To Make A Grouped Boxplot Graph In Matplotlib

I have three algorithms, A, B, and C. I've run them on different datasets and would like to graph their runtimes on each as a grouped boxplot in Python. As a visual example of wha

Solution 1:

It's easiest to do this with independent subplots:

import matplotlib.pyplot as plt
import numpy as np
import random

data = {}
data['dataset1'] = {}
data['dataset2'] = {}
data['dataset3'] = {}

n = 500for k,v indata.iteritems():
    upper = random.randint(0, 1000)
    v['A'] = np.random.uniform(0, upper, size=n)
    v['B'] = np.random.uniform(0, upper, size=n)
    v['C'] = np.random.uniform(0, upper, size=n)

fig, axes = plt.subplots(ncols=3, sharey=True)
fig.subplots_adjust(wspace=0)

for ax, name in zip(axes, ['dataset1', 'dataset2', 'dataset3']):
    ax.boxplot([data[name][item] for item in ['A', 'B', 'C']])
    ax.set(xticklabels=['A', 'B', 'C'], xlabel=name)
    ax.margins(0.05) # Optional

plt.show()