import pandas as pd
from matplotlib import pyplot
 
records = [
    # (n_procs, time, description)
    (1, 47.38, 'lc'),
    (1, 44.36, 'mp'),
    (2, 40.34, 'mp'),
    (3, 46.79, 'mp'),
    (4, 51.68, 'mp'),
    (4, 51.63, 'mp'),
]
 
data = pd.DataFrame(records,
                    columns=('n_procs', 'time', 'description'))
 
fig, axes = pyplot.subplots()
axes.set_xlabel('# threads/processes')
axes.set_ylabel('time')
sub = data[data.description=='lc']
axes.plot(sub.n_procs, sub.time, 'ro')
sub = data[data.description=='mp']
axes.plot(sub.n_procs, sub.time, 'b--+')
 
axes.set_ylim(0, data.time.max() * 1.2)
 
pyplot.show()