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plot_spectrum.py
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87 lines (72 loc) · 2.58 KB
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# MIT License
#
# Copyright (c) 2024 Space Robotics Lab at UMA
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
"""
Plot individual spectra.
Call the function with:
python plot_spectrum --file <csv> --spectrum <column in the csv>
Get an overview of the options with:
python plot_spectrum --help
The spectrum file is 'spectra.csv'.
"""
__author__ = "Joaquín Ortega Cortés"
import argparse
import csv
import matplotlib.pyplot as plt
if __name__ == "__main__":
x = []
y = []
parser = argparse.ArgumentParser()
parser.add_argument(
"--file", type=str, required=True, help="the file of spectra to plot"
)
parser.add_argument(
"--spectrum",
type=int,
required=True,
help="the number of the spectrum to plot inside the spectra",
)
parser.add_argument(
"--latex",
"-l",
action="store_true",
dest="latex",
help="Render text in Latex",
)
args = parser.parse_args()
plt.rcParams["svg.fonttype"] = "none"
if args.latex:
plt.rcParams.update(
{"text.usetex": True, "font.family": "Computer Modern Roman"}
)
with open(args.file, "r") as csvfile:
plots = csv.reader(csvfile, delimiter="\t")
for row in plots:
x.append(float(row[0]))
y.append(float(row[args.spectrum]))
plt.plot(x, y, color="g", label="Spectrum")
plt.xticks(rotation=25)
plt.xlabel("Wavelength [nm]")
plt.ylabel("Intensity [counts]")
plt.title("Spectrum", fontsize=20)
plt.grid()
plt.legend()
plt.show()