without template

Author: xopherw

doc/source/conf.py

@@ -19,6 +19,7 @@
 import warnings
 
 import jinja2
+from markupsafe import Markup
 from numpydoc.docscrape import NumpyDocString
 from sphinx.ext.autosummary import _import_by_name
 
@@ -32,6 +33,9 @@
 # Python's default allowed recursion depth is 1000.
 sys.setrecursionlimit(5000)
 
+# Disable parallel reading to avoid multiprocessing issues on macOS
+parallel_read_safe = False
+
 # If extensions (or modules to document with autodoc) are in another directory,
 # add these directories to sys.path here. If the directory is relative to the
 # documentation root, use os.path.abspath to make it absolute, like shown here.
@@ -150,7 +154,7 @@
 toggleprompt_offset_right = 35
 
 # Add any paths that contain templates here, relative to this directory.
-templates_path = ["../_templates"]
+# templates_path = ["../_templates"]
 
 # The suffix of source filenames.
 source_suffix = [".rst"]
@@ -164,7 +168,7 @@
 # General information about the project.
 project = "pandas"
 # We have our custom "pandas_footer.html" template, using copyright for the current year
-copyright = f"{datetime.now().year},"
+# copyright = f"{datetime.now().year},"
 
 # The version info for the project you're documenting, acts as replacement for
 # |version| and |release|, also used in various other places throughout the
@@ -240,11 +244,14 @@
     # only keep major.minor version number to match versions.json
     switcher_version = ".".join(version.split(".")[:2])
 
+# Simple copyright text - HTML links are handled in pandas_footer.html template
+copyright = Markup(f"{datetime.now().year}, pandas via <a href=\"https://numfocus.org\">NumFOCUS, Inc.</a> Hosted by <a href=\"https://www.ovhcloud.com\">OVHcloud</a>")
+
 html_theme_options = {
-    "external_links": [],
-    "footer_start": ["pandas_footer"],
+    "footer_start": ["copyright"],
     "footer_center": ["sphinx-version"],
     "footer_end": ["theme-version"],
+    "external_links": [],
     "github_url": "https://github.com/pandas-dev/pandas",
     "analytics": {
         "plausible_analytics_domain": "pandas.pydata.org",