plot-freely/polar-plot

#!/usr/bin/env python3
#
# polar-plot
#
# Copyright (C) 2022, 2023, Jeff Moe
# Copyright (C) 2023, Cees Bassa
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
# polar_plot
# Generate graphical plot of radio interference.
#
# Usage:
# polar_plot [filename]
#
# Example:
# ./polar-plot data/sample.csv
# ./polar-plot data/rtl_power-sample.csv


import argparse
import locale
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import re
import scipy
import seaborn as sns
import sys

from pandas.plotting import scatter_matrix

locale.setlocale(locale.LC_ALL, "en_US.utf8")
plt.rcParams["axes.formatter.use_locale"] = True


def load_samples():
    parser = argparse.ArgumentParser(
        description="Radio Interference Polar Plotter.",
        formatter_class=argparse.RawTextHelpFormatter,
    )
    parser.add_argument(
        "infile",
        nargs="?",
        type=argparse.FileType("r"),
        default=sys.stdin,
        help="filename, default stdin",
    )

    args = parser.parse_args()

    datafile = args.infile.name

    with open(datafile) as f:
        firstline = f.readline().rstrip()

    if firstline == "1, 38.93":
        print("Test data from sample.csv")
        df = pd.read_csv(
            datafile, skiprows=0, usecols=[0, 1], names=("Azimuth", "Energy")
        )

    elif re.match(re.compile("20*"), firstline):
        print("rtl_power CSV file. Not yet supported.")
        exit()

    else:
        print("Unknown file type.")
        exit()

    return df


def print_table(df):
    # Print the Dataframe loaded from CSV
    with pd.option_context("display.max_rows", None, "display.max_columns", None):
        print(df)


def display_plot(df):
    sns.set_theme()
    fig = plt.figure(figsize=(8, 8), facecolor="xkcd:off white")
    ax = fig.add_subplot(111, projection="polar")
    ax.set_facecolor("xkcd:powder blue")

    ax.set_title(
        "Radio Interference Polar Plot".format("seaborn"),
        color="xkcd:cornflower blue",
        fontsize="large",
        fontweight="bold",
    )

    ax.set_theta_offset(np.pi / 2.0)
    ax.set_rticks([90, 60, 30, 0])
    ax.set_rgrids([90, 60, 30, 0], ["", "30$^\circ$", "60$^\circ$", ""], angle=22.5)
    ax.grid(True)

    ax.bar(1 / 60, 38.93, width=0.25)
    ax.bar(15 / 60, 38.31, width=0.25)
    ax.bar(30 / 60, 37.77, width=0.25)
    ax.bar(45 / 60, 37.33, width=0.25)
    ax.bar(60 / 60, 38.54, width=0.25)
    ax.bar(75 / 60, 38.81, width=0.25)
    ax.bar(90 / 60, 37.55, width=0.25)
    ax.bar(105 / 60, 29.18, width=0.25)
    ax.bar(120 / 60, 29.32, width=0.25)
    ax.bar(135 / 60, 37.00, width=0.25)
    ax.bar(150 / 60, 36.48, width=0.25)
    ax.bar(165 / 60, 32.46, width=0.25)
    ax.bar(180 / 60, 34.92, width=0.25)
    ax.bar(195 / 60, 38.65, width=0.25)
    ax.bar(210 / 60, 39.07, width=0.25)
    ax.bar(225 / 60, 39.50, width=0.25)
    ax.bar(240 / 60, 39.42, width=0.25)
    ax.bar(255 / 60, 37.33, width=0.25)
    ax.bar(270 / 60, 38.96, width=0.25)
    ax.bar(285 / 60, 38.14, width=0.25)
    ax.bar(300 / 60, 36.32, width=0.25)
    ax.bar(315 / 60, 35.26, width=0.25)
    ax.bar(330 / 60, 39.14, width=0.25)
    ax.bar(345 / 60, 39.60, width=0.25)

    ax.set_ylim(0.0, 40.0)
    plt.tight_layout()
    plt.show()


def main():
    df = load_samples()
    print_table(df)
    display_plot(df)


if __name__ == "__main__":
    main()