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Questions tagged [timeit]

A Python built-in module for measuring execution time of small code snippets.

A Python built-in module for measuring execution time of small code snippets. It provides a Timer class which can be used to measure execution times.

According to the documentation, it "avoids a number of common traps for measuring execution times".

Documentation: https://docs.python.org/3/library/timeit.html

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inconsistencies in timeit() on Jupyter Notebooks

I was using Jupyter Notebooks with Python 3.6. If you want to use timeit() in the simplest way possible for a quick test, it seems like, for the most part, if you use it as the only line in a cell and put a function call in it, it works, as…
TMWP
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Is it possible for the python timeit function to ever report 0 as the execution time?

I'm working on a project in which we have to compare the execution time of several sorting algorithms (insertion sort, quicksort, merge sort,...) for lists of sizes 2 to 2^16. My instructor pointed out that since modern computers are very fast, the…
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Loop to Store Test Results in Python

In short, I need to test some functions by creating 100 random integer lists of each specified length (500, 1000, 10000) and store the results. Eventually, I need to be able to calculate an average execution time for each test but I've yet to get…
notaprogrammr
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timeit.timeit method error "expected an indented block"

As I am learning Python 3.5 and I wanted to start comparing time on different code. I have tried the timeit.timeit module on a couple other simple statements and got it to work. I can't get it to work on the below code and get the error…
Neal
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Code execution time: how to properly DRY several timeit executions?

Let's assume we want to use timeit for some performance testing with different inputs. The obvious, non-DRY way would be something like this: import timeit # define functions to test def some_list_operation_A(lst): ... def…
daniel451
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timing a python function timeit vs time.clock disparity

import time import logging from functools import reduce logging.basicConfig(filename='debug.log', level=logging.DEBUG) def read_large_file(file_object): """Uses a generator to read a large file lazily""" while True: data =…
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Python timeit from command line - most functionality inside string not being timed

After looking around the forums and bit and tutorials on using timeit, I wasn't able to identify my problem but am sure I'm missing something major. I'm trying to fun the following bit of code (modified slightly to just be an illustrative example)…
mediantis
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Python `Counter` seems slower than `sorted` in comparison task - why?

In reference to this older stack overflow question @Raymond Hettinger gets presumeably correct results where Counter is 4x faster then sorted using timeit from the command line like so: python3.6 -m timeit -s 'from collections import Counter' -s…
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using the map function with timeit in Python

I am learning python and am looking at the difference in performance between using comprehension and the map function. So far, I have this code: import timeit print timeit.timeit('[x for x in range(100)]',number = 10000) def mapFunc(i): print…
carl saptarshi
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Strange results of evaluating in statement for list and set by means of timeit module

Trying to evaluate performance of in statement for both: set and list. I know that I can do it with module time, but I want to try timeit module. So my code is next: from timeit import Timer def func_to_test(val, s): return val in s if…
Litwisha
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Implement timeit() in extended class in python

Naive programmer: I'm trying to use the timeit module but I don't know how. I have extended the class: class Pt: def __init__(self, x,y): self.x = x self.y = y class pt_set(Pt): def __init__(self): self.pts = [] …
Mohit Monpara
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ImportError: cannot import name Error

I have a very simple test function that I need to capture its execution time using 'timeit' module, but I get an error The function: import timeit def test1(): l = [] for i in range(1000): l = l + [i] t1…
shwz
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ValueError in timeit module

I am having a difficulty using the timeit module, here is my code. import timeit setup = """ a = range(100000) b = set(a) """ print timeit.timeit("a.remove(0)", setup=setup, number = 10) print timeit.timeit("b.remove(0)", setup=setup, number =…
Max Paython
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Optimizing performance of SciPy Minimize while using Concurrent.Futures?

I'm trying to figure out how to speed up a scipy.minimize function. minimize() is called thousands of times. I run it in parallel using a ProcessPoolExecutor. bootstrap() is the parent function. def optimize_weights(forecasts, prices, instrument): …
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Python key error when using timeit to test dictionary key deletion time

I have become increasingly tired and perplexed trying to get this code to work. This is an algorithm analysis assignment from the "Problem Solving with Data Structures and Algorithms" web textbook. It asks to compare the time it takes to delete a…
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