#### NOTE [Go to the end](#sphx-glr-download-auto-examples-readers-writers-plot-performance-caching-py) to download the full example code. # Performance and Caching All readers support automatic caching for improved performance. ```Python import os from pathlib import Path import time import matplotlib.pyplot as plt from pylimer_tools.io.extract_thermo_data import extract_thermo_params # Read complete log file def _find_fixtures_dir() -> Path: for cur in ( [Path(__file__).resolve().parent] if "__file__" in globals() else [] ) + [Path.cwd()]: for p in [cur] + list(cur.parents): candidate = p / "tests" / "pylimer_tools" / "fixtures" if candidate.is_dir(): return candidate return Path("tests/pylimer_tools/fixtures").resolve() _fixtures_dir = _find_fixtures_dir() log_file = str(_fixtures_dir / "log.lammps") time_start = time.time() ``` [`extract_thermo_params()`](../../pylimer_tools.io.html.md#pylimer_tools.io.extract_thermo_data.extract_thermo_params) is a more elaborate version of [`read_log_file()`](../../pylimer_tools.io.html.md#pylimer_tools.io.read_lammps_output_file.read_log_file) ```Python thermo_data = extract_thermo_params(log_file, use_cache=False) time_end = time.time() time_no_cache = time_end - time_start time_start = time.time() thermo_data = extract_thermo_params(log_file, use_cache=True) time_end = time.time() time_cache = time_end - time_start plt.figure() plt.bar(["Without Cache", "With Cache"], [time_no_cache, time_cache]) plt.ylabel("Time [s]") plt.show() ``` **Total running time of the script:** (0 minutes 0.028 seconds) [`Download Jupyter notebook: plot_performance_caching.ipynb`](_downloads/769a5fd3e1ade99dbc7d472abe413793/plot_performance_caching.ipynb) [`Download Python source code: plot_performance_caching.py`](_downloads/335e2f233301388c14067f361380323f/plot_performance_caching.py) [`Download zipped: plot_performance_caching.zip`](_downloads/5b7c15dedfb08f974d474562e1c1d833/plot_performance_caching.zip) [Gallery generated by Sphinx-Gallery](https://sphinx-gallery.github.io)