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An example of using timeit for bench marking
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import timeit | |
setup = """ | |
import pandas as pd | |
from dateutil import parser | |
from datetime import datetime | |
def test_datetime(timestamp): | |
try: | |
datetime.fromisoformat(timestamp) | |
except Exception: | |
pd.to_datetime(timestamp).to_pydatetime() | |
def test_dateutil(timestamp): | |
parser.parse(timestamp) | |
def test_pandas(timestamp): | |
pd.to_datetime(timestamp).to_pydatetime() | |
""" | |
def time_function(method, timestamp): | |
timed_code = f'test_{method}("{timestamp}")' | |
time = min(timeit.Timer(timed_code, setup=setup).repeat(7, 10000)) | |
print("{}: {} ms".format(method, int(time * 1000))) | |
timestamp = ['2022-08-18T00:00:00', '2022-08-18T00:00:00+00:00', '2022-08-18T00:01:30.000Z'] | |
for t in timestamp: | |
print(t) | |
time_function('datetime', t) | |
time_function("pandas", t) | |
time_function("dateutil", t) |
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