New release

docs/mkdocs.yml

@@ -27,15 +27,14 @@ extra:
       name: EasyDiffraction Library Source Code on GitHub
 
 # Jupyter notebooks
-plugins:
-  - mkdocs-jupyter:
-      execute_ignore:
-        - 'quick*.ipynb'
-        - 'basic*.ipynb'
-        - 'advanced*.ipynb'
-        - 'cryst*.ipynb'
-        - 'pdf*.ipynb'
-#        - '*emcee*.ipynb' # Ignore notebooks with 'emcee' in the name from execution
+#plugins:
+#  - mkdocs-jupyter:
+#      execute_ignore:
+#        - 'quick*.ipynb'
+#        - 'basic*.ipynb'
+#        - 'advanced*.ipynb'
+#        - 'cryst*.ipynb'
+#        - 'pdf*.ipynb'
 
 ##################
 # Add new settings

pyproject.toml

@@ -65,10 +65,10 @@ docs = [
   'pyyaml',                          # YAML parser
 ]
 visualization = [
-  'darkdetect',   # Detecting dark mode
-  'pandas',       # Displaying tables in juptyer notebooks
-  'plotly<6.1.0', # Interactive plots. 0.6.0 => Empty charts in Jupyter notebooks ...
-  'py3Dmol',      # Visualisation of crystal structures
+  'darkdetect', # Detecting dark mode
+  'pandas',     # Displaying tables in juptyer notebooks
+  'plotly',     # Interactive plots
+  'py3Dmol',    # Visualisation of crystal structures
 ]
 
 [project.urls]
@@ -115,7 +115,7 @@ source = 'versioningit' # Use versioningit to manage the version
 [tool.versioningit.format]
 distance = '{base_version}+d{distance}'       # example: 0.5.8+d3, 1.2.3.post4+d2
 dirty = '{base_version}'                      # example: 0.5.8, 1.2.3.post4
-distance-dirty = '{base_version}+d{distance}' # 
+distance-dirty = '{base_version}+d{distance}' # see 1st example
 
 # Configure how versioningit detects versions from Git
 # - 'match' ensures it only considers tags starting with 'v'

src/easydiffraction/plotting/plotters/plotter_plotly.py

@@ -12,7 +12,7 @@
     display = None
     HTML = None
 
-from easydiffraction.utils.utils import is_github_ci
+from easydiffraction.utils.utils import is_pycharm
 
 from .plotter_base import SERIES_CONFIG
 from .plotter_base import PlotterBase
@@ -111,13 +111,7 @@ def plot(
 
         # Show the figure
 
-        # In GitHub CI builds (e.g., during Jupyter Book generation), avoid
-        #
-        # calling `fig.show()`
-        # because it can emit `application/vnd.plotly.v1+json` outputs that some toolchains warn about.
-        # Instead, convert the figure to HTML and display it directly.
-        # Use a regular Figure and show it
-        if not is_github_ci() or display is None or HTML is None:
+        if is_pycharm() or display is None or HTML is None:
             fig.show(config=config)
         else:
             html_fig = pio.to_html(

tutorials/dmsc-summer-school-2025_analysis-powder-diffraction.py

@@ -13,11 +13,6 @@
 # introduction to EasyScience, EasyDiffraction is built on that framework and
 # offers a high-level interface focused specifically for diffraction analysis.
 #
-# This notebook is self-contained and designed for hands-on learning.
-# For more advanced features and additional capabilities of the EasyDiffraction
-# library, please see the official documentation:
-# https://docs.easydiffraction.org/lib
-
 # This notebook is self-contained and designed for hands-on learning.
 # However, if you're interested in exploring more advanced features or learning
 # about additional capabilities of the EasyDiffraction library, please refer to