You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@arrow.apache.org by ra...@apache.org on 2024/02/20 11:21:29 UTC

(arrow) 17/30: GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.* (#39758)

This is an automated email from the ASF dual-hosted git repository.

raulcd pushed a commit to branch maint-15.0.x
in repository https://gitbox.apache.org/repos/asf/arrow.git

commit 66def3d6bf624c4d4b7a864ae71ecef43c51ab87
Author: Joris Van den Bossche <jo...@gmail.com>
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 <jo...@gmail.com>
    Signed-off-by: Joris Van den Bossche <jo...@gmail.com>
---
 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