from timeit import timeit
import matplotlib.pyplot as plt
import sys

title = '{type_} creation time in Python {version}'
version = '%s.%s.%s' % (sys.version_info.major, sys.version_info.minor, sys.version_info.micro)
executions = [10**i for i in range(10)]
comparisons = (
	(str, ('s=""', 's=str()')),
	(list, ('l=[]', 'l=list()')),
	(dict, ('d={}', 'd=dict()')),
	(tuple, ('t=()', 't=tuple()')),
)

for i, (type_, statements) in enumerate(comparisons):
	plt.figure(i)
	plt.title(title.format(type_=type_.__name__, version=version))
	plt.xlabel('Number of Executions')
	plt.ylabel('Execution Duration (s)')
	plt.yscale('log')
	plt.xscale('log')
	for statement in statements:
		xaxis = [timeit(statement, number=n) for n in executions]
		plt.plot(xaxis, executions, label=statement)
	plt.legend(statements)

plt.show()