Parici75 · Apr 12, 2026 · Mar 20, 2026 · Mar 20, 2026 · Mar 20, 2026 · Mar 20, 2026
diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
@@ -8,12 +8,12 @@ jobs:
   deploy-package:
     runs-on: ubuntu-latest
     steps:
-    - uses: actions/checkout@v4
+    - uses: actions/checkout@v6
       with:
         fetch-depth: 0
 
     - name: Set up Python
-      uses: actions/setup-python@v5
+      uses: actions/setup-python@v6
       with:
         python-version: '3.x'
 
@@ -24,7 +24,6 @@ jobs:
       env:
         POETRY_PYPI_TOKEN_PYPI: ${{ secrets.POETRY_PYPI_TOKEN_PYPI}}
       run: |
-        poetry self add "poetry-dynamic-versioning[plugin]"
         poetry install
         poetry build
         poetry publish
diff --git a/.github/workflows/sphinx.yml b/.github/workflows/sphinx.yml
@@ -10,12 +10,12 @@ jobs:
   build-sphinx-doc:
     runs-on: ubuntu-latest
     steps:
-    - uses: actions/checkout@v4
+    - uses: actions/checkout@v6
       with:
         fetch-depth: 0
 
     - name: Set up Python
-      uses: actions/setup-python@v5
+      uses: actions/setup-python@v6
       with:
         python-version: '3.x'
 
@@ -24,7 +24,7 @@ jobs:
 
     - name: Build HTML documentation
       run: |
-        poetry self add "poetry-dynamic-versioning[plugin]"
+        pip install poetry-dynamic-versioning
         poetry install --with docs
         poetry run sphinx-build docs ./docs/_build/html/
 

diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
@@ -8,16 +8,21 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest, macos-latest, windows-latest]
-        python-version: ['3.10', '3.11', '3.12', '3.13']
+        python-version: ['3.11', '3.12', '3.13']
 
     runs-on: ${{ matrix.os }}
+
+    env:
+      POETRY_VIRTUALENVS_IN_PROJECT: "true"
+      POETRY_CACHE_DIR: ${{ github.workspace }}/.cache/poetry
+
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
         with:
           fetch-depth: 0
 
       - name: Set up Python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
         with:
           python-version: ${{ matrix.python-version }}
 
@@ -26,6 +31,5 @@ jobs:
 
       - name: Run ci
         run: |
-          poetry self add "poetry-dynamic-versioning[plugin]"
           poetry install --without docs
           make ci
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
@@ -4,7 +4,7 @@ default_language_version:
 # Built-in hooks
 repos:
 -   repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v5.0.0
+    rev: v6.0.0
     hooks:
     -   id: check-added-large-files
     -   id: check-ast
@@ -24,44 +24,34 @@ repos:
 
 # Pyupgrade
 - repo: https://github.com/asottile/pyupgrade
-  rev: v3.19.1
+  rev: v3.21.2
   hooks:
       - id: pyupgrade
 
 # Conventional commit
 - repo: https://github.com/compilerla/conventional-pre-commit
-  rev: v4.0.0
+  rev: v4.4.0
   hooks:
     - id: conventional-pre-commit
       stages: [commit-msg]
       args: []
 
 # Ruff
-# We put this hook before Black hook, as autofix results may need to be reformatted by Black linter
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.11.4
+    rev: v0.15.7
     hooks:
-    -   id: ruff
-        args: [ --fix, --exit-non-zero-on-fix ]
-        exclude: ^(tests|docs)/
-# Black
--   repo: https://github.com/psf/black
-    rev: 25.1.0
-    hooks:
-    -   id: black
-# Isort
--   repo: https://github.com/pycqa/isort
-    rev: 6.0.1
-    hooks:
-    -   id: isort
-        exclude: ^.*/?setup\.py$
+    # Run the linter.
+    - id: ruff-check
+      args: [ --fix, --exit-non-zero-on-fix  ]
+    # Run the formatter.
+    - id: ruff-format
+
 # MyPy
 -   repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.15.0  # Use the sha / tag you want to point at
+    rev: v1.19.1  # Use the sha / tag you want to point at
     hooks:
     -   id: mypy
         args: [--ignore-missing-imports]
-        files: ^statsplotly/
         additional_dependencies:
             - "pydantic>=2.4"
             - "numpy"
diff --git a/Makefile b/Makefile
@@ -5,7 +5,7 @@ PYTHON_SHELL_VERSION := $(shell python --version | cut -d " " -f 2)
 POETRY_AVAILABLE := $(shell which poetry > /dev/null && echo 1 || echo 0)
 
 # CI variables
-CI_EXCLUDED_DIRS = __pycache__ dist tests docs
+CI_EXCLUDED_DIRS = __pycache__ dist docs
 CI_DIRECTORIES=$(filter-out $(CI_EXCLUDED_DIRS), $(foreach dir, $(dir $(wildcard */)), $(dir:/=)))
 
 # Project targets
@@ -33,13 +33,21 @@ endif
 # CI targets
 lint-%:
 	@echo lint-"$*"
-	@poetry run black --check "$*"
-	@poetry run isort --check "$*"
 	@poetry run ruff check "$*"
+	@poetry run ruff format --check "$*"
 	@echo "    ✅ All good"
 
 lint: $(addprefix lint-, $(CI_DIRECTORIES))
 
+
+fix-%:
+	@echo fix-"$*"
+	@poetry run ruff check --fix "$*"
+	@poetry run ruff format "$*"
+	@echo "    ✅ All fixed"
+
+fix: $(addprefix fix-, $(CI_DIRECTORIES)) ci
+
 typecheck-%:
 	@echo typecheck-"$*"
 	@poetry run mypy "$*"
@@ -67,7 +75,7 @@ run-pre-commit:
 
 # Documentation
 update-doc:
-	@poetry run sphinx-apidoc --module-first --no-toc --force -o docs/source $(PROJECT_NAME)
+	@poetry run sphinx-apidoc --module-first --no-toc --force -o docs/source src/$(PROJECT_NAME)
 
 build-doc:
 	@poetry run sphinx-build docs ./docs/_build/html/

diff --git a/README.md b/README.md
@@ -9,8 +9,7 @@
 
 [![Documentation](https://img.shields.io/website?label=docs&url=https://parici75.github.io/statsplotly)](https://parici75.github.io/statsplotly)
 ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/statsplotly)
-[![Black](https://img.shields.io/badge/Code%20style-Black-black)](https://black.readthedocs.io/en/stable/)
-[![linting - Ruff](https://img.shields.io/badge/Linting-Ruff-yellow)](https://docs.astral.sh/ruff/)
+[![linting - Ruff](https://img.shields.io/badge/Linting_&_Formatting-Ruff-151B54)](https://docs.astral.sh/ruff/)
 [![mypy](https://img.shields.io/badge/mypy-checked-blue)](https://mypy.readthedocs.io/en/stable/index.html#)
 [![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://pre-commit.com/)
 [![CI](https://github.com/Parici75/statsplotly/actions/workflows/test.yml/badge.svg)](https://github.com/Parici75/statsplotly/actions/workflows/test.yml)
@@ -95,7 +94,7 @@ On the Jupyter server, select the created kernel in “Kernel” -> “Change ke
 The Makefile provides several targets to assist in development and code quality :
 
 - `init` creates a project-specific virtual environment and installs the dependencies of the `poetry.lock` file.
-- `ci` launches Black, Ruff, mypy and pytest on your source code.
+- `ci` launches Ruff, mypy and pytest on your source code.
 - `pre-commit` set up and run pre-commit hooks (see pre-commit [documentation](https://pre-commit.com/)).
 - `update-doc` and `build-doc` generates documentation from source code and builds it with [Sphinx](https://www.sphinx-doc.org/en/master/index.html).
 - `coverage` generates code [coverage](https://coverage.readthedocs.io/en/7.6.4/) report.

diff --git a/docs/conf.py b/docs/conf.py
@@ -12,7 +12,7 @@
 import os
 import sys
 
-sys.path.insert(0, os.path.abspath("../"))
+sys.path.insert(0, os.path.abspath("../src"))
 
 # -- Project information -----------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information

diff --git a/docs/notebooks/barplot.ipynb b/docs/notebooks/barplot.ipynb
@@ -12,9 +12,10 @@
    },
    "source": [
     "# Bar plots\n",
+    "\n",
     "A bar plot uses bars of different heights or colors to compare categorical data across different groups or categories.\n",
     "\n",
-    "Bar plots are often used to represent a measure of central tendency, with an estimation of the associated error."
+    "Bar plots are often used to represent a measure of central tendency, with an estimation of the associated error.\n"
    ]
   },
   {
@@ -51,6 +52,7 @@
    "outputs": [],
    "source": [
     "import plotly.express as px\n",
+    "\n",
     "import statsplotly"
    ]
   },
@@ -82,9 +84,9 @@
    "source": [
     "## Controlling bar colors\n",
     "\n",
-    "Color can be specified independently of the slicer by providing the `color` parameter. \n",
+    "Color can be specified independently of the slicer by providing the `color` parameter.\n",
     "\n",
-    "To keep track of data slices, the `slicer` identifier is indicated on the corresponding bars."
+    "To keep track of data slices, the `slicer` identifier is indicated on the corresponding bars.\n"
    ]
   },
   {
@@ -114,11 +116,11 @@
    "source": [
     "## Aggregating data and displaying error bars\n",
     "\n",
-    "Barplot are often used to summarize the central tendency of data. This is accomplished with the `aggregation_func` argument. Error bars can also be specified. \n",
+    "Barplot are often used to summarize the central tendency of data. This is accomplished with the `aggregation_func` argument. Error bars can also be specified.\n",
     "\n",
     "Supplying only one dimension is equivalent to a count plot, with optional normalization.\n",
     "\n",
-    "Below we aggregate the fraction of tips distributed each day:"
+    "Below we aggregate the fraction of tips distributed each day:\n"
    ]
   },
   {
@@ -146,9 +148,9 @@
    "id": "4a8ad8c9-146b-4a4f-a10b-5e865440e5af",
    "metadata": {},
    "source": [
-    "Supplying `x`and `y` dimensions with an `aggregation_func` argument aggregate the numeric dimension across values of the other dimensions. \n",
+    "Supplying `x`and `y` dimensions with an `aggregation_func` argument aggregate the numeric dimension across values of the other dimensions.\n",
     "\n",
-    "Here we perform bootstrap resampling to draw a 95% confidence interval error bar:"
+    "Here we perform bootstrap resampling to draw a 95% confidence interval error bar:\n"
    ]
   },
   {
@@ -178,7 +180,7 @@
    "id": "5c8d3e97-d612-4bb7-b03d-6ede22843386",
    "metadata": {},
    "source": [
-    "The `aggregation_func` and `error_bar` arguments also accepts `Callable` arguments :"
+    "The `aggregation_func` and `error_bar` arguments also accepts `Callable` arguments :\n"
    ]
   },
   {
@@ -222,9 +224,9 @@
    "source": [
     "## Horizontal bar plots\n",
     "\n",
-    "The numeric dimension is the default aggregated dimension. Swapping the `x` and `y` dimensions thus produces an horizontal plot. \n",
+    "The numeric dimension is the default aggregated dimension. Swapping the `x` and `y` dimensions thus produces an horizontal plot.\n",
     "\n",
-    "Below we plot the median with the interquartile range:"
+    "Below we plot the median with the interquartile range:\n"
    ]
   },
   {
@@ -252,15 +254,15 @@
    "id": "4673ec5a-bf2b-475d-88d0-a0ad04b9f016",
    "metadata": {},
    "source": [
-    "Full details of the API : {func}`~statsplotly.barplot`."
+    "Full details of the API : {func}`~statsplotly.barplot`.\n"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "statsplotly",
+   "display_name": ".venv",
    "language": "python",
-   "name": "statsplotly"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -272,7 +274,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.12.7"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {

diff --git a/docs/notebooks/catplot.ipynb b/docs/notebooks/catplot.ipynb
@@ -51,6 +51,7 @@
    "outputs": [],
    "source": [
     "import plotly.express as px\n",
+    "\n",
     "import statsplotly"
    ]
   },

diff --git a/docs/notebooks/distplot.ipynb b/docs/notebooks/distplot.ipynb
@@ -51,6 +51,7 @@
    "outputs": [],
    "source": [
     "import plotly.express as px\n",
+    "\n",
     "import statsplotly"
    ]
   },

diff --git a/docs/notebooks/heatmap.ipynb b/docs/notebooks/heatmap.ipynb
@@ -50,9 +50,9 @@
    },
    "outputs": [],
    "source": [
+    "import pandas as pd\n",
     "import plotly.express as px\n",
     "from plotly.subplots import make_subplots\n",
-    "import pandas as pd\n",
     "\n",
     "import statsplotly"
    ]

diff --git a/docs/notebooks/jointplot.ipynb b/docs/notebooks/jointplot.ipynb
@@ -51,6 +51,7 @@
    "outputs": [],
    "source": [
     "import plotly.express as px\n",
+    "\n",
     "import statsplotly"
    ]
   },
@@ -206,8 +207,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import pandas as pd\n",
-    "\n",
     "df = px.data.stocks().set_index(\"date\")\n",
     "\n",
     "fig = statsplotly.jointplot(\n",

diff --git a/docs/notebooks/lineplot.ipynb b/docs/notebooks/lineplot.ipynb
@@ -51,6 +51,7 @@
    "outputs": [],
    "source": [
     "import plotly.express as px\n",
+    "\n",
     "import statsplotly"
    ]
   },

diff --git a/docs/notebooks/managing_subplots.ipynb b/docs/notebooks/managing_subplots.ipynb
@@ -213,9 +213,7 @@
     "    shared_grid_axis=\"rows\", plot_axis=\"yaxis\", link_axes=True\n",
     ").set_common_axis_limit(\n",
     "    shared_grid_axis=\"all\", plot_axis=\"xaxis\", link_axes=True\n",
-    ").set_common_coloraxis(\n",
-    "    shared_grid_axis=\"rows\"\n",
-    ").tidy_subplots(\n",
+    ").set_common_coloraxis(shared_grid_axis=\"rows\").tidy_subplots(\n",
     "    title=\"Sex difference in response to treatment\",\n",
     "    col_titles=[\"control\", \"treatment\"],\n",
     "    row_titles=[\"raw data\", \"distribution\"],\n",

diff --git a/docs/notebooks/scatterplot.ipynb b/docs/notebooks/scatterplot.ipynb
@@ -52,6 +52,7 @@
    "outputs": [],
    "source": [
     "import plotly.express as px\n",
+    "\n",
     "import statsplotly"
    ]
   },

diff --git a/docs/source/getting_started.md b/docs/source/getting_started.md
@@ -15,7 +15,7 @@ This independence allows to leverage the powerful interactivity offered by [plot
 
 All plotting functions return a {obj}`plotly.graph_objects.Figure` object, and must be supplied with :
 
-- a {obj}`pandas.DataFrame`-comptatible data structure. Dictionaries or tidy (i.e., [long-form](https://en.wikipedia.org/wiki/Wide_and_narrow_data)) DataFrames are the recommended entry point. Note that hierarchical indexes are supported only on DataFrame's {obj}`~pandas.DataFrame.index`.
+- a {obj}`pandas.DataFrame`-compatible data structure. Dictionaries or tidy (i.e., [long-form](https://en.wikipedia.org/wiki/Wide_and_narrow_data)) DataFrames are the recommended entry point. Note that hierarchical indexes are supported only on a DataFrame's {obj}`~pandas.DataFrame.index`.
 - column or index identifiers to specify `x`, `y` and `z` -when applicable- plotting dimensions.
 
 > 💡 Read more on [tidy data](https://aeturrell.github.io/python4DS/data-tidy.html).