Skip to main content

A simple plotting library

Project description

EasyPlotLib

Matplotlib styles and helpers for publication-quality SCI-journal figures (Nature / Science / Cell / NEJM / Lancet / PNAS / AGU / AMS).

Install

pip install EasyPlotLib

Quick start

import EasyPlotLib as epl
import matplotlib.pyplot as plt
import numpy as np

# Style + journal column width + color palette in one call.
epl.journal_style("nat1", palette="nature", nrows=1, ncols=2)

fig, axs = plt.subplots(1, 2)
x = np.linspace(0, 2 * np.pi, 200)
for n, ax in enumerate(axs):
    for k in range(3):
        ax.plot(x, np.sin(x + k), label=f"series {k}")
    ax.set_xlabel("x")
    ax.set_ylabel("amplitude")
    ax.annotate(**epl.subplot_labels(n, "a"))      # bold panel labels a, b …

# Editable vector (PDF) + 600-dpi raster.
epl.save_pub(fig, "figures/fig1", formats=("pdf", "png"))

API

Function Description
journal_style(key, palette=, base_style=, nrows=, ncols=, apply=) Apply style + size + palette in one call. Returns the figsize dict.
figsizes(key, ...) rcParams dict with a journal column figure size. Keys: nat1/2, aaas1/2, pnas1..3, agu1..4, ams1..4.
subplot_labels(n, style) Args for ax.annotate(**...). Styles: a, A, (a), a), a.
geo_aspect(lon0, lon1, lat0, lat1) Display aspect (w/h) of an equal-aspect lon/lat map: Δlon·cos(lat)/Δlat. Feed to row_layout / width_ratios.
row_layout(aspects, vmargin=) For a 1-row map/plot mix: derive width_ratios (∝ aspect → equal heights) + a safe inverted_aspect_ratio so every panel fills its column.
clamp_colorbars(fig, (ax, cb), ...) Clamp each ax=-attached colourbar's height to its (equal-aspect) panel instead of the taller cell.
set_palette(name, ax=None) / get_palette(name, n=) Set the color cycle / return raw hex list.
PALETTES Qualitative palettes: nature, science, nejm, lancet, jama, muted, semantic, nmi, comparison, imaging, bright.
SEMANTIC Role-based colors (blue_main=hero, green_strong=gain, red_strong=drop, delta_up/down, neutrals, accents).
shades(color, n) n shades of one hue, light→base — related methods (e.g. a baseline trio, stacked-area family).
alpha_ramp(color, n) One hue at graduated opacity — the standard ablation encoding.
COLORMAPS Recommended continuous colormaps for heatmaps/images: sequential, sequential_warm, diverging, grayscale.
save_pub(fig, path, formats=, dpi=) Save to multiple formats with editable vector text.
cartopy_plot_tickmarks(ax, gl) Clean lon/lat tick labels for cartopy maps.

Color scheme guidance

Every recurring nature-style color pattern is abstracted into one small, shared API so a whole figure stays consistent:

  • One restrained palette per figure. Use a unified family across panels rather than maximizing hue variety; reduce saturation before adding categories.
  • Assign color by meaning, not by index. SEMANTIC reserves blue_main for the proposed/hero method and green/red for gains/drops. Never remap the same method to a different hue in another panel.
  • Many-method comparisonget_palette("comparison"): soft pastel baselines with related methods sharing a hue family, and one saturated hero (put your method last).
  • Related methods / one familyshades(color, n): graduated lightness of a single hue (baseline trios, stacked-area bands).
  • Ablationsalpha_ramp(color, n): one hue, opacity carries the ordering.
  • Continuous data (heatmaps, density, images) → a perceptual colormap from COLORMAPS — sequential for magnitude, diverging for signed values.
  • Microscopyimaging accents (cyan/magenta) on a black background.

Style notes

The bundled nature style uses 7 pt sans (TeX Gyre Heros / Helvetica), an open frame (no top/right spines), and export settings that keep text editable in Illustrator/Inkscape (pdf.fonttype=42, svg.fonttype=none) at 600 dpi.

Claude Code skill

A personal sci-figure skill (~/.claude/skills/sci-figure/) walks Claude through the publication workflow and is auto-invoked on plotting tasks in any project where EasyPlotLib is installed. This repo ships only the core helper library; the worked examples (chart gallery, cartopy/China maps, WRF nested-domain maps, layout grids) and their index live in that skill's examples/ folder, not here.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

easyplotlib-0.2.14.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

easyplotlib-0.2.14-py3-none-any.whl (1.3 MB view details)

Uploaded Python 3

File details

Details for the file easyplotlib-0.2.14.tar.gz.

File metadata

  • Download URL: easyplotlib-0.2.14.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for easyplotlib-0.2.14.tar.gz
Algorithm Hash digest
SHA256 a9fda989b9fa2a585e52484da71403936cf61e4453df88c4328e878e15831dd8
MD5 25bf3394d536d5fb942dcd928f019186
BLAKE2b-256 0215339619bc8c98b78397e291c2f8c2019849fb6c606326deb9ae62f57d868e

See more details on using hashes here.

File details

Details for the file easyplotlib-0.2.14-py3-none-any.whl.

File metadata

  • Download URL: easyplotlib-0.2.14-py3-none-any.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.6

File hashes

Hashes for easyplotlib-0.2.14-py3-none-any.whl
Algorithm Hash digest
SHA256 fffa379677d3758042ad47abbea604f926348d5efe2c0902545fea2b7e6a5367
MD5 5f6b2f721a2e4e4716de40dc846a7c16
BLAKE2b-256 f44dd1586cbe52abdbdcaa117bf043226914a2942035a2084583a30152be04ce

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page