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new c6ab28677d GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.* (#39758)
c6ab28677d is described below
commit c6ab28677ddf22799f3db277137708ac5b070acd
Author: Joris Van den Bossche <[email protected]>
AuthorDate: Tue Jan 30 09:16:53 2024 +0100
GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.* (#39758)
### Rationale for this change
Fixing the pinning syntax so we get the latest 0.14.x version (which is
currently 0.14.4)
* Closes: #39640
Authored-by: Joris Van den Bossche <[email protected]>
Signed-off-by: Joris Van den Bossche <[email protected]>
---
ci/conda_env_sphinx.txt | 2 +-
docs/requirements.txt | 2 +-
docs/source/python/api/compute.rst | 2 +-
docs/source/python/compute.rst | 4 ++--
docs/source/python/pandas.rst | 2 +-
5 files changed, 6 insertions(+), 6 deletions(-)
diff --git a/ci/conda_env_sphinx.txt b/ci/conda_env_sphinx.txt
index d0f494d2e0..0e50875fc1 100644
--- a/ci/conda_env_sphinx.txt
+++ b/ci/conda_env_sphinx.txt
@@ -20,7 +20,7 @@ breathe
doxygen
ipython
numpydoc
-pydata-sphinx-theme=0.14.1
+pydata-sphinx-theme=0.14
sphinx-autobuild
sphinx-design
sphinx-copybutton
diff --git a/docs/requirements.txt b/docs/requirements.txt
index aee2eb662c..5d6fec7ddf 100644
--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -5,7 +5,7 @@
breathe
ipython
numpydoc
-pydata-sphinx-theme==0.14.1
+pydata-sphinx-theme~=0.14
sphinx-autobuild
sphinx-design
sphinx-copybutton
diff --git a/docs/source/python/api/compute.rst
b/docs/source/python/api/compute.rst
index b879643017..928c607d13 100644
--- a/docs/source/python/api/compute.rst
+++ b/docs/source/python/api/compute.rst
@@ -590,4 +590,4 @@ User-Defined Functions
:toctree: ../generated/
register_scalar_function
- ScalarUdfContext
+ UdfContext
diff --git a/docs/source/python/compute.rst b/docs/source/python/compute.rst
index e8a5b613c6..c02059a4f8 100644
--- a/docs/source/python/compute.rst
+++ b/docs/source/python/compute.rst
@@ -445,9 +445,9 @@ output type need to be defined. Using
:func:`pyarrow.compute.register_scalar_fun
The implementation of a user-defined function always takes a first *context*
parameter (named ``ctx`` in the example above) which is an instance of
-:class:`pyarrow.compute.ScalarUdfContext`.
+:class:`pyarrow.compute.UdfContext`.
This context exposes several useful attributes, particularly a
-:attr:`~pyarrow.compute.ScalarUdfContext.memory_pool` to be used for
+:attr:`~pyarrow.compute.UdfContext.memory_pool` to be used for
allocations in the context of the user-defined function.
You can call a user-defined function directly using
:func:`pyarrow.compute.call_function`:
diff --git a/docs/source/python/pandas.rst b/docs/source/python/pandas.rst
index fda90c4f2a..23a4b73bd0 100644
--- a/docs/source/python/pandas.rst
+++ b/docs/source/python/pandas.rst
@@ -197,7 +197,7 @@ use the ``datetime64[ns]`` type in Pandas and are converted
to an Arrow
.. ipython:: python
- df = pd.DataFrame({"datetime": pd.date_range("2020-01-01T00:00:00Z",
freq="H", periods=3)})
+ df = pd.DataFrame({"datetime": pd.date_range("2020-01-01T00:00:00Z",
freq="h", periods=3)})
df.dtypes
df
