cmweather

library0.3.2pypypi✓ verified 86d ago

cmweather provides colormaps for weather and climate data visualization, with many color vision deficiency (CVD) friendly options. Current version 0.3.2, requires Python >=3.6. Release cadence is irregular, typically a few releases per year.

data ai-ml

pip install cmweather

github ↗package ↗docs ↗

INSTALL

IMPORT

SIG · CMWEATHER

cmweather

datapythonv0.3.2

Install

7.4s avg

Import

1187ms

Disk

181MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.3.2 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 1.192s · 177.8MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 7.4s · import 1.182s · 170MB

181MB installed

● package 181MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

cmweather

✓ import cmweather

Import the module to register colormaps with matplotlib; no main class.

cmweather.cm

✓ from cmweather import cm

✗ from cmweather import Colormap

Colormaps are accessed via cm module, not a Colormap class.

Basic usage: import cmweather to register colormaps, then use them as 'cmweather.<name>'.

import matplotlib.pyplot as plt import numpy as np import cmweather # Generate sample data x = np.linspace(0, 10, 100) y = np.linspace(0, 10, 100) X, Y = np.meshgrid(x, y) Z = np.sin(X) * np.cos(Y) # Use a CVD-friendly colormap plt.contourf(X, Y, Z, cmap='cmweather.viridis') plt.colorbar() plt.show()

Debug

Known issues

gotchaColormap names must be prefixed with 'cmweather.' when used in matplotlib (e.g., 'cmweather.viridis'). Omitting the prefix will fall back to matplotlib's default.

fix

Use plt.cm.cmweather.viridis or specify cmap='cmweather.viridis'.

affects: all

deprecatedThe old direct access via cmweather.colormaps (e.g., cmweather.colormaps['viridis']) is deprecated and may be removed.

fix

Use from cmweather import cm; cm.viridis or cmap='cmweather.viridis'.

affects: >=0.2.0

breakingIn v0.2.0, the colormap registration mechanism changed from automatic on import to requiring an explicit import. Code that only did 'import cmweather' before may not register colormaps.

fix

Ensure 'import cmweather' is called before plotting. If issues, use 'from cmweather import cm'.

affects: 0.2.0

Errors

Common errors & fixes

KeyError: 'viridis'

Colormap not registered because cmweather was not imported, or colormap name is incorrect.

fix

Add 'import cmweather' at the top of your script. Use 'plt.get_cmap("cmweather.viridis")'.

ValueError: Colormap 'cmweather.viridis' is not of known type

Matplotlib version too old (<2.0) or cmweather not properly installed.

fix

Upgrade matplotlib: 'pip install matplotlib --upgrade'. Reinstall cmweather: 'pip install cmweather --upgrade'.

ImportError: cannot import name 'Colormap' from 'cmweather'

Trying to import a class that doesn't exist.

fix

Use 'from cmweather import cm' instead.

Upgrade

Version history

0.3.2latest on PyPI · released Jan 4, 2024

Audit

Dependencies

matplotlibrequiredAll colormaps are matplotlib-compatible

numpyoptionalUsed internally for color data manipulation

Agent activity

17 hits · last 30 days

node

Amazon

OpenAI (training)

Resources

githubhttps://github.com/openradar/cmweather ↗

packagehttps://pypi.org/project/cmweather/ ↗

docshttps://github.com/openradar/cmweather ↗