from PIL import Image

def check_nature_resolution(image_path):
    """Check if image meets Nature's resolution requirements."""
    img = Image.open(image_path)
    width_px, height_px = img.size
    dpi = img.info.get('dpi', (72, 72))

    print(f"Image: {image_path}")
    print(f"Dimensions: {width_px} x {height_px} px")
    print(f"DPI: {dpi[0]} x {dpi[1]}")

    if dpi[0] < 300 or dpi[1] < 300:
        print("WARNING: Resolution below 300 DPI minimum")
        print(f"  Need at least 300 DPI for Nature submission")
    elif dpi[0] >= 450:
        print("PASS: Meets optimal resolution (450+ DPI)")
    else:
        print("PASS: Meets minimum resolution (300+ DPI)")

    # Check file size
    import os
    size_mb = os.path.getsize(image_path) / (1024 * 1024)
    print(f"File size: {size_mb:.1f} MB")
    if size_mb > 10:
        print("WARNING: File exceeds 10 MB limit")

    return dpi[0] >= 300 and dpi[1] >= 300

import matplotlib.pyplot as plt

def create_nature_figure(n_panels=1, fig_type='single_column'):
    """Create a Matplotlib figure sized for Nature."""
    if fig_type == 'single_column':
        fig_width = 3.5  # inches (approx 89 mm)
    elif fig_type == 'double_column':
        fig_width = 7.0  # inches (approx 178 mm)
    else:
        fig_width = 5.0  # 1.5 column

    fig_height = fig_width * 0.75  # default aspect ratio

    fig, axes = plt.subplots(1, n_panels, figsize=(fig_width, fig_height))
    fig.set_dpi(450)

    return fig, axes

undefined

---

import matplotlib.pyplot as plt

def set_nature_fonts():
    """Configure Matplotlib for Nature figure fonts."""
    plt.rcParams.update({
        'font.family': 'sans-serif',
        'font.sans-serif': ['Helvetica', 'Arial'],
        'font.size': 7,
        'axes.labelsize': 7,
        'axes.titlesize': 7,
        'xtick.labelsize': 6,
        'ytick.labelsize': 6,
        'legend.fontsize': 6,
        'figure.titlesize': 8,
    })

import matplotlib.pyplot as plt
import string

def add_nature_panel_labels(fig, axes):
    """Add Nature-style lowercase bold panel labels."""
    if not hasattr(axes, '__iter__'):
        axes = [axes]

    for i, ax in enumerate(axes):
        label = string.ascii_lowercase[i]
        ax.text(-0.1, 1.1, label,
                transform=ax.transAxes,
                fontsize=8,
                fontweight='bold',
                va='top',
                ha='right',
                fontfamily='Arial')

from PIL import Image
import os

def validate_nature_figure(image_path):
    """Full validation of a figure against Nature requirements."""
    img = Image.open(image_path)
    issues = []

    # 1. Resolution check
    dpi = img.info.get('dpi', (72, 72))
    if dpi[0] < 300 or dpi[1] < 300:
        issues.append(f"Resolution too low: {dpi[0]}x{dpi[1]} DPI (need 300+)")

    # 2. Color mode check
    if img.mode == 'CMYK':
        issues.append("Color mode is CMYK; RGB is recommended for Nature")
    elif img.mode not in ('RGB', 'RGBA'):
        issues.append(f"Unexpected color mode: {img.mode}; use RGB")

    # 3. File size check
    size_mb = os.path.getsize(image_path) / (1024 * 1024)
    if size_mb > 10:
        issues.append(f"File size {size_mb:.1f} MB exceeds 10 MB limit")

    # 4. Format check
    fmt = img.format
    accepted = ['TIFF', 'JPEG', 'PNG', 'EPS', 'PDF']
    if fmt and fmt.upper() not in accepted:
        issues.append(f"Format '{fmt}' may not be accepted; prefer TIFF or JPEG")

    # Report
    print(f"=== Nature Figure Validation: {os.path.basename(image_path)} ===")
    print(f"Dimensions: {img.size[0]} x {img.size[1]} px")
    print(f"DPI: {dpi[0]} x {dpi[1]}")
    print(f"Color mode: {img.mode}")
    print(f"Format: {fmt}")
    print(f"File size: {size_mb:.1f} MB")

    if issues:
        print(f"\nISSUES FOUND ({len(issues)}):")
        for issue in issues:
            print(f"  - {issue}")
    else:
        print("\nAll checks PASSED")

    return len(issues) == 0

What type of figure are you preparing?
├── Graph, schematic, or diagram → Vector format (AI, EPS, PDF)
│   ├── Created in Illustrator → Export as AI or EPS
│   └── Created in Python/R → Export as PDF or EPS
├── Photograph or micrograph → Raster format (TIFF, PSD, JPEG)
│   ├── Need highest quality → TIFF at 450+ DPI
│   └── File size constrained → JPEG at 300+ DPI
└── Multi-panel composite → Single assembled file
    ├── Mixed vector + raster → Assemble in Illustrator, export as AI/PDF
    └── All raster panels → Assemble in Photoshop, export as TIFF