Figures Python

conda activate research

pip install matplotlib seaborn numpy pandas

figures/data-manifest.md
figures/data/<figure-name>.csv
figures/<section>/<figure-name>.py
figures/<section>/<figure-name>.png
figures/<section>/<figure-name>.svg

NATURE_COLORS = ['#2E86AB', '#A23B72', '#F18F01', '#C73E1D', '#95C623']

CELL_COLORS = ['#4E79A7', '#F28E2B', '#E15759', '#76B7B2', '#59A14F', '#EDC948']

COLORBLIND_SAFE = ['#0077BB', '#33BBEE', '#009988', '#EE7733', '#CC3311', '#EE3377']

"""
Figure X: [图表标题]
论文章节: [所属章节]
"""

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.font_manager as fm
from pathlib import Path

# 中文字体配置
CHINESE_FONT = None
font_candidates = [
    '/System/Library/Fonts/STHeiti Light.ttc',
    '/System/Library/Fonts/PingFang.ttc',
]
for fp in font_candidates:
    if Path(fp).exists():
        CHINESE_FONT = fm.FontProperties(fname=fp)
        break

plt.rcParams['axes.unicode_minus'] = False

# 顶刊配色
COLORS = ['#4E79A7', '#F28E2B', '#E15759', '#76B7B2', '#59A14F']

def setup_plot_style():
    plt.rcParams.update({
        'font.size': 10,
        'axes.titlesize': 12,
        'axes.labelsize': 10,
        'axes.spines.top': False,
        'axes.spines.right': False,
        'axes.grid': True,
        'grid.alpha': 0.3,
        'legend.frameon': False,
        'savefig.dpi': 450,
        'savefig.bbox': 'tight',
    })

def main():
    setup_plot_style()
    
    fig, ax = plt.subplots(figsize=(7, 5))
    
    # === 绑定代码 ===
    x = np.linspace(0, 10, 100)
    ax.plot(x, np.sin(x), color=COLORS[0], label='Model A')
    ax.plot(x, np.cos(x), color=COLORS[1], label='Model B')
    
    if CHINESE_FONT:
        ax.set_xlabel('时间 (s)', fontproperties=CHINESE_FONT)
        ax.set_ylabel('幅值', fontproperties=CHINESE_FONT)
    else:
        ax.set_xlabel('Time (s)')
        ax.set_ylabel('Amplitude')
    
    ax.legend()
    # === 绑定代码结束 ===
    
    # 保存
    output_dir = Path(__file__).parent
    fig_name = Path(__file__).stem
    plt.savefig(output_dir / f'{fig_name}.png', dpi=450)
    plt.savefig(output_dir / f'{fig_name}.svg')
    plt.show()

if __name__ == '__main__':
    main()

ax.plot(x, y, color=COLORS[0], linewidth=1.5, marker='o', markersize=4)

ax.bar(x_pos, values, color=COLORS[:len(values)], edgecolor='white')

im = ax.imshow(matrix, cmap='RdBu_r', aspect='auto')
plt.colorbar(im, ax=ax)

bp = ax.boxplot(data_list, patch_artist=True)
for patch, color in zip(bp['boxes'], COLORS):
    patch.set_facecolor(color)

ax.scatter(x, y, c=colors, s=sizes, alpha=0.6, cmap='viridis')

figures/
├── chapter1/
│   ├── fig1_overview.py
│   ├── fig1_overview.png
│   └── fig1_overview.svg
├── chapter2/
└── chapter3/

from matplotlib.font_manager import FontProperties
font = FontProperties(fname='/System/Library/Fonts/STHeiti Light.ttc')
ax.set_xlabel('中文标签', fontproperties=font)

plt.savefig('figure.png', dpi=450, bbox_inches='tight')

ax.legend(loc='upper left', bbox_to_anchor=(1.02, 1))