Matplotlib colormaps from the yt project !

Related tags

Data Visualizationcmyt
Overview

cmyt

PyPI Supported Python Versions

CI pre-commit.ci status

yt-project Code style: black Imports: isort

Matplotlib colormaps from the yt project !

Colormaps overview

The following colormaps, as well as their respective reversed (*_r) versions are available

Installation

python -m pip install cmyt

Usage

cmyt integrates with matplotlib in a similar fashion to cmocean or cmasher

import numpy as np
import matplotlib.pyplot as plt
import cmyt  # that's it !

# generate example data
prng = np.random.RandomState(0x4D3D3D3)
noise = prng.random_sample((100, 100))
x, y = np.mgrid[-50:50, -50:50]
z = 5 * np.exp(-(x ** 2 + y ** 2) / 1000)

# setup the figure
fig, ax = plt.subplots()
ax.set(aspect="equal")

# now we can refer to cmyt colormaps as strings
im = ax.pcolormesh(x, y, z + noise, cmap="cmyt.arbre", shading="flat")
fig.colorbar(im, ax=ax)

# alternatively, cmyt maps can also be imported as objects
from cmyt import pastel

fig, ax = plt.subplots()
ax.set(aspect="equal")
im = ax.contourf(x, y, z + noise, cmap=pastel)
fig.colorbar(im, ax=ax)

A gallery of comparable examples using all colormaps from cmyt is available in the test directory.

Comments
Releases(v1.1.3)

  • v1.1.3(Dec 24, 2022)

    What's Changed

    • MNT: upgrade pre-commit hooks by @neutrinoceros in https://github.com/yt-project/cmyt/pull/83
    • DOC: simplify Python version requirement declaration by @neutrinoceros in https://github.com/yt-project/cmyt/pull/84
    • [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci in https://github.com/yt-project/cmyt/pull/86
    • TST: switch CI to Python 3.11 by @neutrinoceros in https://github.com/yt-project/cmyt/pull/87
    • BLD: migrate static metadata and tool configurations from setup.cfg to pyproject.toml (semi automated with ini2toml), adapt pre-commit hooks by @neutrinoceros in https://github.com/yt-project/cmyt/pull/88
    • ENH: delay importing colorspacious by @neutrinoceros in https://github.com/yt-project/cmyt/pull/89
    • REL: bump version to 1.1.3 by @neutrinoceros in https://github.com/yt-project/cmyt/pull/90
    • REL: fix auto-publish workflow by @neutrinoceros in https://github.com/yt-project/cmyt/pull/91

    Full Changelog: https://github.com/yt-project/cmyt/compare/v1.1.2...v1.1.3

    Source code(tar.gz)
    Source code(zip)

  • v1.1.2(Jul 27, 2022)

    What's Changed

    • BUG: fix compatibility for matplotlib 3.2 by @neutrinoceros in https://github.com/yt-project/cmyt/pull/82

    Full Changelog: https://github.com/yt-project/cmyt/compare/v1.1.1...v1.1.2

    Source code(tar.gz)
    Source code(zip)

  • v1.1.1(Jul 16, 2022)

    What's Changed

    • TYP: add py.typed marker file to improve downstream type-checking by @neutrinoceros in https://github.com/yt-project/cmyt/pull/67
    • TST: upgrade image testing/reporting CI by @neutrinoceros in https://github.com/yt-project/cmyt/pull/70
    • TST: start testing on Python 3.11 by @neutrinoceros in https://github.com/yt-project/cmyt/pull/73
    • MNT: drop support for Python 3.6 and 3.7 by @neutrinoceros in https://github.com/yt-project/cmyt/pull/76
    • MNT: cleanup now unnecessary version checks for matplotlib by @neutrinoceros in https://github.com/yt-project/cmyt/pull/77
    • ENH: optimize import time by @neutrinoceros in https://github.com/yt-project/cmyt/pull/74

    Full Changelog: https://github.com/yt-project/cmyt/compare/v1.0.4...v1.1.1

    Source code(tar.gz)
    Source code(zip)

  • v1.0.4(Dec 29, 2021)

    What's Changed

    • TYP: add missing type annotations by @neutrinoceros in https://github.com/yt-project/cmyt/pull/63

    Full Changelog: https://github.com/yt-project/cmyt/compare/v1.0.3...v1.0.4

    Source code(tar.gz)
    Source code(zip)

  • v1.0.3(Nov 30, 2021)

    What's Changed

    • ENH: future proofing for matplotlib 3.6 and beyond by @neutrinoceros in https://github.com/yt-project/cmyt/pull/37

    Full Changelog: https://github.com/yt-project/cmyt/compare/v1.0.2...v1.0.3

    Source code(tar.gz)
    Source code(zip)

  • v1.0.2(Nov 11, 2021)

    What's Changed

    • ENH: only parse sys.version_info with if/else blocks by @neutrinoceros in https://github.com/yt-project/cmyt/pull/57
    • TYP: fix incompatible type with mypy + numpy, upgrade pre-commit hooks by @neutrinoceros in https://github.com/yt-project/cmyt/pull/58

    Full Changelog: https://github.com/yt-project/cmyt/compare/v1.0.1...v1.0.2

    Source code(tar.gz)
    Source code(zip)

  • v1.0.1(Nov 2, 2021)

    What's Changed

    • ENH: add support for Python 3.10 by @neutrinoceros in https://github.com/yt-project/cmyt/pull/47
    • MNT: drop unneeded dependency on typing_extensions for Python >= 3.8 by @neutrinoceros in https://github.com/yt-project/cmyt/pull/54

    Full Changelog: https://github.com/yt-project/cmyt/compare/v1.0.0...v1.0.1

    Source code(tar.gz)
    Source code(zip)

  • v1.0.0(Nov 1, 2021)

    This is a symbolic release. It is almost identical to 0.2.2, but the version number is bumped to 1.0.0 to signal that cmyt is now considered stable and production-ready

    What's Changed

    • ENH: simplify a condition by @neutrinoceros in https://github.com/yt-project/cmyt/pull/51
    • REL: cmyt 1.0 by @neutrinoceros in https://github.com/yt-project/cmyt/pull/52

    Full Changelog: https://github.com/yt-project/cmyt/compare/v0.2.2...v1.0.0

    Source code(tar.gz)
    Source code(zip)

  • v0.2.1(Oct 6, 2021)

    This release improves existing code with some future proofing for Python 3.12 and improve type hints consistency for Python < 3.8 It is identical to v0.2.0 as far as usage is concerned.

    What's Changed

    • ENH: migrate from isort to reorder-python-imports for import sorting by @neutrinoceros in https://github.com/yt-project/cmyt/pull/44
    • ENH: future proofing by @neutrinoceros in https://github.com/yt-project/cmyt/pull/49

    Full Changelog: https://github.com/yt-project/cmyt/compare/v0.2.0...v0.2.1

    Source code(tar.gz)
    Source code(zip)

  • v0.2.0(Aug 26, 2021)

    cmyt.utils.create_cmap_overview gains a with_grayscale argument. This version is identical to v0.1.1 as far as the public api is concerned.

    Source code(tar.gz)
    Source code(zip)

  • v0.1.1(Jul 16, 2021)

    This is the first publicly available release of cmyt. It is considered in beta while its integration with the main yt code base is being checked.

    Source code(tar.gz)
    Source code(zip)
Owner
The yt project
A toolkit for analysis and visualization of volumetric data
The yt project
GitHub Repository
A pandas extension that solves all problems of Jalai/Iraninan/Shamsi dates

Jalali Pandas Extentsion A pandas extension that solves all problems of Jalai/Iraninan/Shamsi dates Features Series Extenstion Convert string to Jalal

51 Jan 02, 2023
This package creates clean and beautiful matplotlib plots that work on light and dark backgrounds

This package creates clean and beautiful matplotlib plots that work on light and dark backgrounds. Inspired by the work of Edward Tufte.

Nico Schlömer 205 Jan 07, 2023
100 Days of Code The Complete Python Pro Bootcamp for 2022

100-Day-With-Python 100 Days of Code - The Complete Python Pro Bootcamp for 2022. In this course, I spend with python language over 100 days, and I up

Rajdip Das 8 Jun 22, 2022
Pydrawer: The Python package for visualizing curves and linear transformations in a super simple way

pydrawer 📐 The Python package for visualizing curves and linear transformations in a super simple way. ✏️ Installation Install pydrawer package with

Dylan Tintenfich 56 Dec 30, 2022
Standardized plots and visualizations in Python

Standardized plots and visualizations in Python pltviz is a Python package for standardized visualization. Routine and novel plotting approaches are f

Andrew Tavis McAllister 0 Jul 09, 2022
A toolkit to generate MR sequence diagrams

mrsd: a toolkit to generate MR sequence diagrams mrsd is a Python toolkit to generate MR sequence diagrams, as shown below for the basic FLASH sequenc

Julien Lamy 3 Dec 25, 2021
Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.

py-self-organizing-maps Simple implementation of self-organizing maps (SOMs) A SOM is an unsupervised method for learning a mapping from a discrete ne

Jonas Grebe 6 Nov 22, 2022
🐍PyNode Next allows you to easily create beautiful graph visualisations and animations

PyNode Next A complete rewrite of PyNode for the modern era. Up to five times faster than the original PyNode. PyNode Next allows you to easily create

ehne 3 Feb 12, 2022
An interactive dashboard for visualisation, integration and classification of data using Active Learning.

AstronomicAL An interactive dashboard for visualisation, integration and classification of data using Active Learning. AstronomicAL is a human-in-the-

45 Nov 28, 2022
A deceptively simple plotting library for Streamlit

🍅 Plost A deceptively simple plotting library for Streamlit. Because you've been writing plots wrong all this time. Getting started pip install plost

Thiago Teixeira 192 Dec 29, 2022
This repository contains a streaming Dataflow pipeline written in Python with Apache Beam, reading data from PubSub.

Sample streaming Dataflow pipeline written in Python This repository contains a streaming Dataflow pipeline written in Python with Apache Beam, readin

Israel Herraiz 9 Mar 18, 2022
Splore - a simple graphical interface for scrolling through and exploring data sets of molecules

Scroll through and exPLORE molecule sets The splore framework aims to offer a si

3 Jun 18, 2022
HW_02 Data visualisation task

HW_02 Data visualisation and Matplotlib practice Instructions for HW_02 Idea for data analysis As I was brainstorming ideas and running through databa

9 Dec 13, 2022
BrowZen correlates your emotional states with the web sites you visit to give you actionable insights about how you spend your time browsing the web.

BrowZen BrowZen correlates your emotional states with the web sites you visit to give you actionable insights about how you spend your time browsing t

Nick Bild 36 Sep 28, 2022
Visualize large time-series data in plotly

plotly_resampler enables visualizing large sequential data by adding resampling functionality to Plotly figures. In this Plotly-Resampler demo over 11

PreDiCT.IDLab 604 Dec 28, 2022
The interactive graphing library for Python (includes Plotly Express) :sparkles:

plotly.py Latest Release User forum PyPI Downloads License Data Science Workspaces Our recommended IDE for Plotly’s Python graphing library is Dash En

Plotly 12.7k Jan 05, 2023
D-Analyst : High Performance Visualization Tool

D-Analyst : High Performance Visualization Tool D-Analyst is a high performance data visualization built with python and based on OpenGL. It allows to

4 Apr 14, 2022
Matplotlib JOTA style for making figures

Matplotlib JOTA style for making figures This repo has Matplotlib JOTA style to format plots and figures for publications and presentation.

JOTA JORNALISMO 2 May 05, 2022
Frbmclust - Clusterize FRB profiles using hierarchical clustering, plot corresponding parameters distributions

frbmclust Getting Started Clusterize FRB profiles using hierarchical clustering,

3 May 06, 2022
Material for dataviz course at university of Bordeaux

Material for dataviz course at university of Bordeaux

Nicolas P. Rougier 50 Jul 17, 2022