make_figure_rt60_hist.py

# Copyright 2020 Robin Scheibler
#
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"""
This script generates a histogram of the RT60 of the impulse responses used
in the experiments
"""
import argparse
import json
import os

import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns

if __name__ == "__main__":

    parser = argparse.ArgumentParser(
        description="Creates histogram plot of RT60 in experiment"
    )
    parser.add_argument("file", type=str, help="File containing the room information")
    args = parser.parse_args()

    with open(args.file, "r") as f:
        room_data = json.load(f)

    rt60s = np.array(room_data["rt60s"])

    sns.set(
        style="whitegrid",
        context="paper",
        font_scale=0.75,
        rc={
            # 'figure.figsize': (3.39, 3.15),
            "lines.linewidth": 1.0,
            # 'font.family': 'sans-serif',
            # 'font.sans-serif': [u'Helvetica'],
            # 'text.usetex': False,
        },
    )

    # Histogram of RT60
    plt.figure(figsize=(1.5 * 1.675, 1.5 * 1.2))
    plt.hist(rt60s * 1000.0)
    plt.xlabel("$T_{60}$ [ms]")
    plt.ylabel("Frequency")
    sns.despine(offset=10, trim=False, left=True, bottom=True)
    # plt.gca().xaxis.set_major_locator(MaxNLocator(integer=True))
    plt.xticks([50, 150, 250, 350, 450])

    plt.tight_layout(pad=0.0)

    if not os.path.exists("figures"):
        os.mkdir("figures")

    fig_fn = f"figures/figure0_rt60_hist.pdf"
    plt.savefig(fig_fn)