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FYS4150/src/project3/python/plot_energies.py
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2025-10-15 16:40:51 +02:00

73 lines
2.6 KiB
Python

import matplotlib.pyplot as plt
import numpy as np
import os
import typer
from pathlib import Path
from typing import List
app = typer.Typer()
SHOW_PLOTS = os.getenv("SHOW_PLOTS", "1") == "1"
def get_rc_params():
colors = ["FF220C", "70D6FF", "8AAA79", "666370", "1C1F33"]
rcParams = plt.rcParams
# Use LaTeX for rendering
# Setup fonts
rcParams["text.usetex"] = True
rcParams["font.family"] = "serif"
rcParams["font.size"] = 12
rcParams["axes.labelsize"] = 12
rcParams["axes.titlesize"] = 12
rcParams["legend.fontsize"] = 10
rcParams["xtick.labelsize"] = 10
rcParams["ytick.labelsize"] = 10
# Figure size and resolution
rcParams["figure.figsize"] = (6, 4)
rcParams["figure.dpi"] = 300
# Use colors from the palette
rcParams["axes.prop_cycle"] = plt.cycler(color=[f"#{color}" for color in colors])
# Grid
rcParams["axes.grid"] = True
rcParams["grid.alpha"] = 0.5
rcParams["grid.linestyle"] = "--"
# Point ticks to the inside of the axes
rcParams["xtick.direction"] = "in"
rcParams["ytick.direction"] = "in"
rcParams["xtick.top"] = True
rcParams["ytick.right"] = True
return rcParams
def load_data(total_energy_file):
total_energy = np.loadtxt(total_energy_file)
kin_file = total_energy_file.replace("total_energies", "kinetic_energies")
pot_file = total_energy_file.replace("total_energies", "potential_energies")
kinetic_energy = np.loadtxt(kin_file)
potential_energy = np.loadtxt(pot_file)
step_count = len(total_energy)
return total_energy, kinetic_energy, potential_energy, step_count
@app.command()
def plot_kinetic_energy(total_energy_files: List[Path], output_file: Path):
"""Plot kinetic energy from velocity files."""
plt.rcParams.update(get_rc_params())
fig, ax = plt.subplots()
energy_files = [str(fn) for fn in total_energy_files if fn.is_file()]
labels = [f"{fn.split('/')[-2]} ({fn.split('/')[-1].split('_')[4]})" for fn in energy_files]
for i, energy_file in enumerate(energy_files):
total_energy, kinetic_energy, potential_energy, step_count = load_data(energy_file)
time = np.linspace(0, 50e-6, step_count)
color = f"C{i % 10}"
ax.plot(time, total_energy, label=labels[i], color=color, linestyle="-")
ax.plot(time, potential_energy, color=color, linestyle="--")
ax.plot(time, kinetic_energy, color=color, linestyle=":")
ax.set_xlabel("Time (s)")
ax.set_ylabel(r"Energy (Da $\cdot$ m$^2$/s$^2$)")
ax.legend()
fig.savefig(output_file)
if SHOW_PLOTS:
fig.show()
if __name__ == "__main__":
app()