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Time code execution and graph results

Project description

graphtimer

This library is based around generating nice graphs for timings. It's highly modular and provides an interface to quickly and cleanly use modules.

The high-level interface is the Plotter class which takes a timer class as its only argument. The builtin timer is MultiTimer, where TimerNamespace builds it without you having to.

From here you have three steps:

  1. Time the code by using the timer provided. Usual usage is repeat, as timeit only times the functions once and skips step 2.
  2. Perform the statistical analysis on the timings. Most of the time you'll want to use min, which gets the lowest value that isn't an outlier. And shows the error bars from the lowest outlier to Q3.
  3. Plot the data on the graph. This by default uses matplotlib via the MatPlotLib class.
import matplotlib.pyplot as plt
from graphtimer import Plotter, TimerNamespace


class ManualListCreation(TimerNamespace):
    def test_comprehension(iterable):
        return [i for i in iterable]

    def test_append(iterable):
        a = []
        append = a.append
        for i in iterable:
            append(i)
        return a


fig, axs = plt.subplots()
(
    Plotter(ManualListCreation)
        .repeat(100, 5, list(range(0, 10001, 1000)), args_conv=range)
        .min()
        .plot(axs)
)
fig.show()

Installation

To install graphtimer, just use pip:

$ pip install graphtimer

Project details


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