#### NOTE [Go to the end](#sphx-glr-download-auto-examples-readers-writers-plot-correlated-averages-reader-py) to download the full example code. # Correlated Averages Reader Read correlation functions from `fix ave/correlate` and `fix ave/correlate/long` commands. ```Python import os from pathlib import Path from pylimer_tools.io.read_lammps_output_file import read_correlation_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() correlation_file = str(_fixtures_dir / "example_correlation_file.out.corr.txt") # Read correlation data correlation_data = read_correlation_file(correlation_file) # Access correlation data by timestep last_timestep = correlation_data["Timestep"].max() last_correlation = correlation_data[correlation_data["Timestep"] == last_timestep] _ = last_correlation.plot( x="Time", y=[ "c_pA1*c_pA1", "c_pA2*c_pA2", "c_pA3*c_pA3"]) ``` **Total running time of the script:** (0 minutes 0.039 seconds) [`Download Jupyter notebook: plot_correlated_averages_reader.ipynb`](_downloads/8f9e1e246ad9272ddda4d7b833e56292/plot_correlated_averages_reader.ipynb) [`Download Python source code: plot_correlated_averages_reader.py`](_downloads/ace4b682c05b4218a0ed73805ec74869/plot_correlated_averages_reader.py) [`Download zipped: plot_correlated_averages_reader.zip`](_downloads/7b8165985d3db9c41f71bfc85c9ec94c/plot_correlated_averages_reader.zip) [Gallery generated by Sphinx-Gallery](https://sphinx-gallery.github.io)