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April 12, 2018 11:08
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Quick functions to easily profile Python code
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import monotonic | |
from time import clock as cpu_time | |
import cProfile, pstats | |
try: | |
from StringIO import StringIO | |
except ImportError: | |
from io import StringIO | |
def time_it(label): | |
start_total = monotonic.monotonic() | |
start_cpu = cpu_time() | |
def split(name=None): | |
diff_total = monotonic.monotonic() - start_total | |
diff_cpu = cpu_time() - start_cpu | |
desc = '%s (%s)' % (label, name) if name else label | |
print('%s: %f (%f)' % (desc, diff_total, diff_cpu)) | |
return split | |
def profile(): | |
pr = cProfile.Profile() | |
pr.enable() | |
def stop_profile(): | |
pr.disable() | |
s = StringIO() | |
sortby = 'cumulative' | |
ps = pstats.Stats(pr, stream=s).sort_stats(sortby) | |
ps.print_stats() | |
print(s.getvalue()) | |
return stop_profile |
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