data-visualization

name	data-visualization
description	Create publication-quality figures with matplotlib/seaborn (Python) or ggplot2 (R). Covers multi-panel layouts, colorblind-safe palettes, and journal export settings.
tags	["visualization","matplotlib","seaborn","ggplot2","publication-figures","color-palettes"]
version	1.0.0
authors	[{"name":"awesome-rosetta-skills contributors","github":"@awesome-rosetta-skills"}]
license	MIT
platforms	["claude-code","codex","gemini-cli","cursor"]
dependencies	{"python":["matplotlib>=3.7.0","seaborn>=0.12.0","numpy>=1.24.0","pandas>=2.0.0","scipy>=1.10.0","palettable>=3.3.3"]}
last_updated	2026-03-17

Data Visualization

Produce figures that meet journal submission standards: correct DPI, font sizes, line widths, colorblind-friendly palettes, and vector/raster export formats.

---

Journal Figure Standards

Journal Family	Single Column	Double Column	DPI	Preferred Format
Nature / Science	89 mm	183 mm	300	TIFF / EPS
Cell Press	85 mm	170 mm	300	PDF / TIFF
PLOS ONE	83 mm	171 mm	300	TIFF / EPS
ACS Journals	84 mm	176 mm	600	TIFF
General use	3.5 in	7 in	300	PDF / SVG

---

Setup

pip install matplotlib seaborn numpy pandas scipy palettable
# For LaTeX rendering in labels (optional but recommended)
# Requires a local LaTeX installation (e.g. TeX Live or MiKTeX)

---

Publication Style Foundation

"""
pub_style.py
Reusable publication-quality matplotlib configuration.
"""

import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import seaborn as sns
import numpy as np
import pandas as pd
from typing import Optional, Tuple, List, Union


# ─────────────────────────────────────────────
# Color Palettes (colorblind-friendly)
# ─────────────────────────────────────────────


OKABE_ITO = [
    ,  
    ,  
    ,  
    ,  
    ,  
    ,  
    ,  
    ,  
]


WONG = [
    ,
    ,
    ,
    ,
    ,
    ,
    ,
    ,
]


 () -> []:
    
    :
         palettable
        palette = (palettable.colorbrewer.qualitative, )
         palette.hex_colors
     Exception:
         OKABE_ITO[:n]






 () -> :
    
     color_palette  :
        color_palette = OKABE_ITO

    sns.set_theme(style=style, context=context, palette=color_palette,
                  font=font_family, font_scale=)

    rc_params = {
        
        :          font_size,
        :     font_size,
        :     font_size,
        :    font_size - ,
        :    font_size - ,
        :    font_size - ,
        : font_size,
        
        :    line_width * ,
        :     line_width,
        :    line_width,
        
        :   tick_major_size,
        :   tick_major_size,
        :   tick_major_size * ,
        :   tick_major_size * ,
        :  line_width,
        :  line_width,
        
        :  axes_spines_right,
        :    axes_spines_top,
        
        :        ,
        :       ,
        : ,
        
        :     ,
        : ,
        
        :        use_latex,
    }
    mpl.rcParams.update(rc_params)


 () -> :
    
     mm / 


 () -> :
    
     formats  :
        formats = [, ]
     fmt  formats:
        full_path = 
        fig.savefig(full_path, dpi=dpi, =fmt)
        ()