115 lines
3.2 KiB
Python
115 lines
3.2 KiB
Python
import numpy as np, os
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import matplotlib.pyplot as plt
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import matplotlib.ticker as mtick
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from squish import Simulation, DomainParams, Energy, ordered
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from squish.common import OUTPUT_DIR
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from script_tools import (
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RC_SETTINGS,
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get_args,
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get_data,
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get_simulation_data,
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get_ordered_data,
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)
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NAME = "VEE"
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def main():
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sims_path, regen = get_args(
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"Various graphs for single N data.",
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"folder that contains simulation data at various aspect ratios for some N",
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)
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data, n, r = get_data(
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sims_path / "package.pkl", get_simulation_data, args=(sims_path,), regen=regen
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)
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domain, alphas = DomainParams(n, 1, 1, r), data["all"]["alpha"]
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ordered_data = get_data(
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OUTPUT_DIR / "OrderedCache" / f"{n}.pkl",
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get_ordered_data,
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args=(domain, alphas),
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regen=regen,
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)
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min_disorder, max_disorder = [], []
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for i, energies in enumerate(data["distinct"]["Energy"]):
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disorder_energies = []
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for j, energy in enumerate(energies):
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if not data["distinct"]["Ordered"][i][j]:
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disorder_energies.append(energy)
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min_disorder.append(min(disorder_energies))
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max_disorder.append(max(disorder_energies))
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min_order, min_order_coer = [], []
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for i, energies in enumerate(ordered_data["Energy"]):
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min_order.append(energies[0])
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min_order_coer.append(ordered_data["Coercivity"][i][0])
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e_hex = ordered.e_hex(domain)
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min_disorder = np.array(min_disorder) / domain.n - e_hex
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max_disorder = np.array(max_disorder) / domain.n - e_hex
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min_order = np.array(min_order) / domain.n - e_hex
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hex_ratios = ordered.hexagon_alpha(domain.n)
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plt.rcParams.update(RC_SETTINGS)
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fig = plt.figure(figsize=(15, 15))
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gs = fig.add_gridspec(1, 1)
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ax = fig.add_subplot(gs[0])
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ax.plot(alphas, 100 * min_order, color="C1", label="Min Ordered", zorder=10)
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ax.plot(alphas, 100 * min_disorder, color="C0", label="Min Disordered")
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ax.plot(
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alphas,
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100 * max_disorder,
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color="C0",
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linestyle="dotted",
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label="Max Disordered",
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)
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ax.scatter(
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hex_ratios, [0] * len(hex_ratios), color="C2", s=120, marker="H", zorder=50
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)
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ax.set_xlim(0.3, 1)
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ax.set_xticks([round(w, 2) for w in alphas[::10]])
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ax.set_xticklabels([f"{round(w, 3):.2f}" for w in alphas[::10]], rotation=90)
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# start, end = ax.get_ylim()
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# space = np.linspace(0, end, 20)
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space = np.arange(0, 6.6, 0.3)
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ax.set_ylim(-0.15, 6.6)
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ax.set_yticks(space[:-1])
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ax.ticklabel_format(axis="y", style="sci")
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ax.set_xlabel("Aspect Ratio")
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ax.set_ylabel(r"VEE $\left[\times 10^{2}\right]$")
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ax.legend(loc=(0.23, 0.5))
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# ax.legend()
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ax.grid(zorder=0)
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props = dict(boxstyle="round", facecolor="white", alpha=0.8, zorder=20)
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ax.text(
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0.873,
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0.97,
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f"N={domain.n}",
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transform=ax.transAxes,
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verticalalignment="top",
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bbox=props,
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)
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out = OUTPUT_DIR / f"{NAME}-N{domain.n}.png"
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fig.savefig(out)
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print(f"Wrote to {out}.")
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if __name__ == "__main__":
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os.environ["QT_LOGGING_RULES"] = "*=false"
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try:
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main()
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except KeyboardInterrupt:
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print("Program terminated by user.")
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