Minor adjustment on docs and python req

CHANGELOG.md

@@ -2,7 +2,7 @@
 
 <!-- do not remove -->
 
-## 2024.03.29
+## v2024.03.29
 
 ### New Features
 
@@ -18,7 +18,7 @@
 
 
 
-## 2023.03.29
+## v2023.03.29
 
 ### New Features
 - **Repeated measures**: Augments the prior function for plotting (independent) multiple test groups versus a shared control; it can now do the same for repeated-measures experimental designs. Thus, together, these two methods can be used to replace both flavors of the 1-way ANOVA with an estimation analysis.

README.md

@@ -2,11 +2,20 @@
 
 <!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
 
+[![minimal Python
+version](https://img.shields.io/badge/Python%3E%3D-3.8-6666ff.svg)](https://www.anaconda.com/distribution/)
+[![PyPI
+version](https://badge.fury.io/py/dabest)](https://badge.fury.io/py/dabest)
+[![Downloads](https://static.pepy.tech/badge/dabest.png)](https://pepy.tech/project/dabest)
+[![Free-to-view
+citation](https://zenodo.org/badge/DOI/10.1038/s41592-019-0470-3.svg)](https://rdcu.be/bHhJ4)
+[![License](https://img.shields.io/badge/License-BSD%203--Clause--Clear-orange.svg)](https://spdx.org/licenses/BSD-3-Clause-Clear.html)
+
 ## Recent Version Update
 
-On 22 March 2024, we officially released **DABEST v2024.3.29 for
-Python**. This new version provides several new features and includes
-performance improvements.
+On 22 March 2024, we officially released **DABEST Version Ondeh
+(v2024.03.29)**. This new version provides several new features and
+includes performance improvements.
 
 1.  **New Paired Proportion Plot**: This feature builds upon the
     existing proportional analysis capabilities by introducing advanced
@@ -40,15 +49,19 @@ performance improvements.
 
 <!-- TOC depthFrom:1 depthTo:2 withLinks:1 updateOnSave:1 orderedList:0 -->
 
-- [About](#about)
-- [Installation](#installation)
-- [Usage](#usage)
-- [How to cite](#how-to-cite)
-- [Bugs](#bugs)
-- [Contributing](#contributing)
-- [Acknowledgements](#acknowledgements)
-- [Testing](#testing)
-- [DABEST in other languages](#dabest-in-other-languages)
+- [DABEST-Python](#dabest-python)
+  - [Recent Version Update](#recent-version-update)
+  - [Contents](#contents)
+  - [About](#about)
+  - [Installation](#installation)
+  - [Usage](#usage)
+  - [How to cite](#how-to-cite)
+  - [Bugs](#bugs)
+  - [Contributing](#contributing)
+    - [A wish list for new features](#a-wish-list-for-new-features)
+  - [Acknowledgements](#acknowledgements)
+  - [Testing](#testing)
+  - [DABEST in other languages](#dabest-in-other-languages)
 
 <!-- /TOC -->
 
@@ -82,7 +95,7 @@ allowing everyone access to high-quality estimation plots.
 
 ## Installation
 
-This package is tested on Python 3.6, 3.7, 3.8 and 3.10. It is highly
+This package is tested on Python 3.8 and onwards. It is highly
 recommended to download the [Anaconda
 distribution](https://www.continuum.io/downloads) of Python in order to
 obtain the dependencies easily.

nbs/02-about.ipynb

@@ -17,7 +17,7 @@
     "\n",
     "DABEST is written in Python by [Joses W. Ho](https://twitter.com/jacuzzijo), with design and input from [Adam Claridge-Chang](https://twitter.com/adamcchang) and other [lab members](https://www.claridgechang.net/people.html).\n",
     "\n",
-    "Features in v2024.03.29 were added by [Zinan Lu](https://github.com/Jacobluke-), [Kah Seng Lian](https://github.com/sunroofgod).\n",
+    "Features in v2024.03.29 were added by [Zinan Lu](https://github.com/Jacobluke-), [Kah Seng Lian](https://github.com/sunroofgod), [Ana Rosa Castillo](https://github.com/cyberosa).\n",
     "\n",
     "Features in v2023.02.14 were added by [Yixuan Li](https://github.com/LI-Yixuan), [Zinan Lu](https://github.com/Jacobluke-) and [Rou Zhang](https://github.com/ZHANGROU-99).\n",
     "\n",

nbs/read_me.ipynb

@@ -5,11 +5,17 @@
    "id": "205a828a",
    "metadata": {},
    "source": [
-    "# DABEST-Python\n",
-    "\n",
-    "[![minimal Python version](https://img.shields.io/badge/Python%3E%3D-3.6-6666ff.svg)](https://www.anaconda.com/distribution/)\n",
+    "# DABEST-Python"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5164f940",
+   "metadata": {},
+   "source": [
+    "[![minimal Python version](https://img.shields.io/badge/Python%3E%3D-3.8-6666ff.svg)](https://www.anaconda.com/distribution/)\n",
     "[![PyPI version](https://badge.fury.io/py/dabest.svg)](https://badge.fury.io/py/dabest)\n",
-    "[![Downloads](https://pepy.tech/badge/dabest/month)](https://pepy.tech/project/dabest/month)\n",
+    "[![Downloads](https://static.pepy.tech/badge/dabest)](https://pepy.tech/project/dabest)\n",
     "[![Free-to-view citation](https://zenodo.org/badge/DOI/10.1038/s41592-019-0470-3.svg)](https://rdcu.be/bHhJ4)\n",
     "[![License](https://img.shields.io/badge/License-BSD%203--Clause--Clear-orange.svg)](https://spdx.org/licenses/BSD-3-Clause-Clear.html)"
    ]
@@ -22,7 +28,7 @@
    "source": [
     "## Recent Version Update\n",
     "\n",
-    "On 22 March 2024, we officially released **DABEST v2024.3.29 for Python**. This new version provides several new features and includes performance improvements.\n",
+    "On 22 March 2024, we officially released **DABEST Version Ondeh (v2024.03.29)**. This new version provides several new features and includes performance improvements.\n",
     "\n",
     "1. **New Paired Proportion Plot**: This feature builds upon the existing proportional analysis capabilities by introducing advanced aesthetics and clearer visualization of changes in proportions between different groups, inspired by the informative nature of Sankey Diagrams. It's particularly useful for studies that require detailed examination of how proportions shift in paired observations.\n",
     "\n",
@@ -82,7 +88,7 @@
    "source": [
     "## Installation\n",
     "\n",
-    "This package is tested on Python 3.6, 3.7, 3.8 and 3.10.\n",
+    "This package is tested on Python 3.8 and onwards.\n",
     "It is highly recommended to download the [Anaconda distribution](https://www.continuum.io/downloads) of Python in order to obtain the dependencies easily.\n",
     "\n",
     "You can install this package via `pip`.\n",

setup.py

@@ -22,7 +22,7 @@
 }
 statuses = [ '1 - Planning', '2 - Pre-Alpha', '3 - Alpha',
     '4 - Beta', '5 - Production/Stable', '6 - Mature', '7 - Inactive' ]
-py_versions = '3.6 3.7 3.8 3.9 3.10 3.11'.split()
+py_versions = '3.8 3.9 3.10 3.11'.split()
 requirements = shlex.split(cfg.get('requirements', ''))
 if cfg.get('pip_requirements'): requirements += shlex.split(cfg.get('pip_requirements', ''))
 min_python = cfg['min_python']