SSE/plot.py at master · paidpay/SSE · GitHub

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#!/usr/bin/env python3

import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from post_processing import read_sse_output
import sys

plt.style.use('seaborn')
matplotlib.rcParams['mathtext.fontset'] = 'stix'
matplotlib.rcParams['font.family'] = 'STIXGeneral'

# Read the output file
FILENAME = sys.argv[1]
sim_info, sampled = read_sse_output(FILENAME)

# Plot the variables
fig, _ = plt.subplots(3, 3)
plt.figure(1)
fig.suptitle(FILENAME)

plt.subplot(3, 3, 1)
plt.errorbar(sampled["T"], sampled["E"], sampled["E_std"], fmt=".--")
plt.xlabel(r"$T$")
plt.ylabel(r"$\langle E \rangle$")
plt.legend()

plt.subplot(3, 3, 2)
plt.errorbar(sampled["T"], sampled["C"], sampled["C_std"], fmt=".--")
plt.xlabel(r"$T$")
plt.ylabel(r"$C$")
plt.legend()

plt.subplot(3, 3, 3)
plt.errorbar(sampled["T"], sampled["corr_mean"][:, 0], sampled["corr_std"][:, 0], fmt=".--")
plt.xlabel(r"$T$")
plt.ylabel(r"$C(0, 0)$")
plt.legend()

plt.subplot(3, 3, 4)
plt.errorbar(sampled["T"], sampled["ms"], sampled["m2_std"], fmt=".--")
plt.xlabel(r"$T$")
plt.ylabel(r"$\langle m_s \rangle$")
plt.legend()

plt.subplot(3, 3, 5)
plt.errorbar(sampled["T"], sampled["m2s"], sampled["m2s_std"], fmt=".--")
plt.xlabel(r"$T$")
plt.ylabel(r"$\langle m_s^2 \rangle$")
plt.legend()

plt.subplot(3, 3, 6)
plt.errorbar(sampled["T"], sampled["S_mean"], sampled["S_std"], fmt=".--")
plt.xlabel(r"$T$")
plt.ylabel(r"$S(\pi)$")
plt.legend()

plt.subplot(3, 3, 7)
plt.errorbar(sampled["T"], sampled["m"], sampled["m_std"], fmt=".--")
plt.xlabel(r"$T$")
plt.ylabel(r"$\langle m \rangle$")
plt.legend()

plt.subplot(3, 3, 8)
plt.errorbar(sampled["T"], sampled["m2"], sampled["m2_std"], fmt=".--")
plt.xlabel(r"$T$")
plt.ylabel(r"$\langle m^2 \rangle$")
plt.legend()

plt.subplot(3, 3, 9)
plt.errorbar(sampled["T"], sampled["m_sus"], sampled["m_sus_std"], fmt=".--")
plt.xlabel(r"$T$")
plt.ylabel(r"$\chi$")
plt.legend()

plt.figure(2)
for j, T in enumerate(sampled["T"]):
    plt.errorbar(np.arange(sim_info["L"]), sampled["corr_mean"][j, :], sampled["corr_std"][j, :], fmt=".--", label=fr"$T={T}$")
    plt.xlabel(r"$i$")
    plt.ylabel(r"$C(0, i)$")
    plt.legend()

if sim_info["n_k"] != 0:
    plt.figure(3)
    for j, T in enumerate(sampled["T"]):
        plt.errorbar(sampled["w_k"][j, :], sampled["g_spin_mean"][j, :], sampled["g_spin_std"][j, :], fmt=".--", label=fr"$T={T}$")
        plt.xlabel(r"$\omega_k$")
        plt.ylabel(r"$g(\omega_k)$")
        plt.legend()

plt.show()