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| # 绘制多个子图，并使用中文
import matplotlib.pyplot as plt
import scienceplots
with plt.style.context(["science", "no-latex"]):
plt.rcParams["font.family"] = (
" Times New Roman, SimSun" # 设置字体族，中文为SimSun，英文为Times New Roman
)
plt.rcParams["mathtext.fontset"] = "stix" # 设置数学公式字体为stix
fig, axes = plt.subplots(figsize=(8, 6), ncols=2, nrows=2)
axes = axes.flatten()
for i in range(4):
axes[i].set_xlim(9000, 11000000)
axes[i].set_ylim(1, 100000)
axes[i].grid(linestyle="--")
axes[0].semilogx(
[10000, 100000, 1000000, 10000000],
[15.76, 36.64, 568.00, 14050.00],
label="Index-sort-2D",
marker="o",
ls="--",
)
axes[0].semilogx(
[10000, 100000, 1000000, 10000000],
[21.69, 70.50, 791.20, 34160.00],
label="Index-sort-3D",
marker="x",
ls="--",
)
axes[0].semilogx(
[10000, 100000, 1000000, 10000000],
[4.54, 41.12, 990.00, 14280.00],
label="Spatial-hashing-2D",
marker="s",
)
axes[0].semilogx(
[10000, 100000, 1000000, 10000000],
[8.33, 79.06, 2367.00, 28670.00],
label="Spatial-hashing-3D",
marker="^",
)
axes[0].set_xscale("log")
axes[0].set_yscale("log")
axes[0].set_xlabel("粒子数/个")
axes[0].set_ylabel("单步耗时/ms")
axes[0].set_title("均匀分布")
axes[1].semilogx(
[10000, 100000, 1000000, 1000000],
[2.97, 43.81, 3436.00, 3436.00],
label="Index-sort-2D",
marker="o",
ls="--",
)
axes[1].semilogx(
[10000, 100000, 1000000, 1000000],
[3.92, 47.99, 2503.00, 2503.00],
label="Index-sort-3D",
marker="x",
ls="--",
)
axes[1].semilogx(
[10000, 100000, 1000000, 1000000],
[5.13, 54.29, 2512.00, 2512.00],
label="Spatial-hashing-2D",
marker="s",
)
axes[1].semilogx(
[10000, 100000, 1000000, 10000000],
[8.77, 69.27, 1478.00, 22550.00],
label="Spatial-hashing-3D",
marker="^",
)
axes[1].set_xscale("log")
axes[1].set_yscale("log")
axes[1].set_title("正态分布")
axes[1].set_xlabel("粒子数/个")
axes[1].set_ylabel("单步耗时/ms")
axes[2].semilogx(
[10000, 100000, 1000000, 10000000],
[343.91, 344.75, 384.42, 2519.46],
label="Index-sort-2D",
marker="o",
ls="--",
)
axes[2].semilogx(
[10000, 100000, 1000000, 10000000],
[359.96, 361.47, 411.39, 2584.77],
label="Index-sort-3D",
marker="x",
ls="--",
)
axes[2].semilogx(
[10000, 100000, 1000000, 10000000],
[9.41, 31.18, 253.18, 4116.66],
label="Spatial-hashing-2D",
marker="s",
)
axes[2].semilogx(
[10000, 100000, 1000000, 10000000],
[9.49, 31.98, 282.29, 8533.71],
label="Spatial-hashing-3D",
marker="^",
)
axes[2].set_xscale("log")
axes[2].set_yscale("log")
axes[2].set_xlabel("粒子数/个")
axes[2].set_ylabel("内存占用/MB")
axes[2].set_title("均匀分布")
axes[3].semilogx(
[10000, 100000, 1000000, 1000000],
[50.58, 83.49, 618.06, 618.06],
label="Index-sort-2D",
marker="o",
ls="--",
)
axes[3].semilogx(
[10000, 100000, 1000000, 1000000],
[53.42, 58.51, 198.77, 198.77],
label="Index-sort-3D",
marker="x",
ls="--",
)
axes[3].semilogx(
[10000, 100000, 1000000, 10000000],
[9.42, 48.87, 1351.06, 17735.29],
label="Spatial-hashing-2D",
marker="s",
)
axes[3].semilogx(
[10000, 100000, 1000000, 1000000],
[9.49, 32.61, 259.72, 259.72],
label="Spatial-hashing-3D",
marker="^",
)
axes[3].set_xscale("log")
axes[3].set_yscale("log")
axes[3].set_title("正态分布")
axes[3].set_xlabel("粒子数/个")
axes[3].set_ylabel("内存占用/MB")
lines, labels = fig.axes[-1].get_legend_handles_labels()
fig.legend(
lines,
labels,
loc="center",
facecolor="white",
framealpha=0.75,
frameon=True,
bbox_to_anchor=(0.522, 0.506),
ncol=2,
)
plt.tight_layout()
plt.savefig("plot2.svg")
plt.show()
|