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Merged
jorisvandenbossche merged 4 commits into from
Jan 30, 2024
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GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.* #39758

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7b8b101
GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*
jorisvandenbossche Jan 23, 2024
db58502
ScalarUdfContext -> UdfContext in the docs
jorisvandenbossche Jan 23, 2024
b725f0c
pandas compat
jorisvandenbossche Jan 23, 2024
580b355
Merge remote-tracking branch 'upstream/main' into gh-39640
jorisvandenbossche Jan 30, 2024
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2 changes: 1 addition & 1 deletion ci/conda_env_sphinx.txt
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Expand Up@@ -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
Expand Down
2 changes: 1 addition & 1 deletion docs/requirements.txt
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Expand Up@@ -5,7 +5,7 @@
breathe
ipython
numpydoc
pydata-sphinx-theme==0.14.1
pydata-sphinx-theme~=0.14
sphinx-autobuild
sphinx-design
sphinx-copybutton
Expand Down
2 changes: 1 addition & 1 deletion docs/source/python/api/compute.rst
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Expand Up@@ -590,4 +590,4 @@ User-Defined Functions
:toctree: ../generated/

register_scalar_function
ScalarUdfContext
UdfContext
4 changes: 2 additions & 2 deletions docs/source/python/compute.rst
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -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`:
Expand Down
2 changes: 1 addition & 1 deletion docs/source/python/pandas.rst
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Expand Up@@ -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

Expand Down
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GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.* by jorisvandenbossche · Pull Request #39758 · apache/arrow · GitHub
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GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*#39758

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 Merged

jorisvandenbossche
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Jan 30, 2024
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GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*
#39758
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7b8b101

GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*


jorisvandenbossche Jan 23, 2024
db58502

ScalarUdfContext -> UdfContext in the docs


jorisvandenbossche Jan 23, 2024
b725f0c

pandas compat


jorisvandenbossche Jan 23, 2024
580b355

Merge remote-tracking branch 'upstream/main' into gh-39640


jorisvandenbossche Jan 30, 2024

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ci/conda_env_sphinx.txt

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Expand Up@@ -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
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2 changes: 1 addition & 1 deletion
docs/requirements.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -5,7 +5,7 @@
breathe
ipython
numpydoc
pydata-sphinx-theme==0.14.1
pydata-sphinx-theme~=0.14
sphinx-autobuild
sphinx-design
sphinx-copybutton
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/api/compute.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -590,4 +590,4 @@ User-Defined Functions
 :toctree: ../generated/

 register_scalar_function
ScalarUdfContext
UdfContext

4 changes: 2 additions & 2 deletions
docs/source/python/compute.rst

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -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`:
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/pandas.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -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

Expand Down

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GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.* by jorisvandenbossche · Pull Request #39758 · apache/arrow · GitHub
Skip to content
GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*#39758

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 Merged

jorisvandenbossche
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Jan 30, 2024
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GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*
#39758
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7b8b101

GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*


jorisvandenbossche Jan 23, 2024
db58502

ScalarUdfContext -> UdfContext in the docs


jorisvandenbossche Jan 23, 2024
b725f0c

pandas compat


jorisvandenbossche Jan 23, 2024
580b355

Merge remote-tracking branch 'upstream/main' into gh-39640


jorisvandenbossche Jan 30, 2024

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ci/conda_env_sphinx.txt

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Expand Up@@ -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
Expand Down

2 changes: 1 addition & 1 deletion
docs/requirements.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -5,7 +5,7 @@
breathe
ipython
numpydoc
pydata-sphinx-theme==0.14.1
pydata-sphinx-theme~=0.14
sphinx-autobuild
sphinx-design
sphinx-copybutton
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/api/compute.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -590,4 +590,4 @@ User-Defined Functions
 :toctree: ../generated/

 register_scalar_function
ScalarUdfContext
UdfContext

4 changes: 2 additions & 2 deletions
docs/source/python/compute.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -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`:
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/pandas.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -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

Expand Down

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var __re = new RegExp('^' + ".*" + '
GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.* by jorisvandenbossche · Pull Request #39758 · apache/arrow · GitHub
Skip to content
GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*#39758

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 Merged

jorisvandenbossche
merged 4 commits into

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Jan 30, 2024
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GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*
#39758
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7b8b101

GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*


jorisvandenbossche Jan 23, 2024
db58502

ScalarUdfContext -> UdfContext in the docs


jorisvandenbossche Jan 23, 2024
b725f0c

pandas compat


jorisvandenbossche Jan 23, 2024
580b355

Merge remote-tracking branch 'upstream/main' into gh-39640


jorisvandenbossche Jan 30, 2024

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ci/conda_env_sphinx.txt

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Expand Up@@ -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
Expand Down

2 changes: 1 addition & 1 deletion
docs/requirements.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -5,7 +5,7 @@
breathe
ipython
numpydoc
pydata-sphinx-theme==0.14.1
pydata-sphinx-theme~=0.14
sphinx-autobuild
sphinx-design
sphinx-copybutton
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/api/compute.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -590,4 +590,4 @@ User-Defined Functions
 :toctree: ../generated/

 register_scalar_function
ScalarUdfContext
UdfContext

4 changes: 2 additions & 2 deletions
docs/source/python/compute.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -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`:
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/pandas.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -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

Expand Down

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var __re = new RegExp('^' + "youtube\\.com" + '
GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.* by jorisvandenbossche · Pull Request #39758 · apache/arrow · GitHub
Skip to content
GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*#39758

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 Merged

jorisvandenbossche
merged 4 commits into

from

Jan 30, 2024
 Merged


GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*
#39758
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7b8b101

GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*


jorisvandenbossche Jan 23, 2024
db58502

ScalarUdfContext -> UdfContext in the docs


jorisvandenbossche Jan 23, 2024
b725f0c

pandas compat


jorisvandenbossche Jan 23, 2024
580b355

Merge remote-tracking branch 'upstream/main' into gh-39640


jorisvandenbossche Jan 30, 2024

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2 changes: 1 addition & 1 deletion
ci/conda_env_sphinx.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -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
Expand Down

2 changes: 1 addition & 1 deletion
docs/requirements.txt

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -5,7 +5,7 @@
breathe
ipython
numpydoc
pydata-sphinx-theme==0.14.1
pydata-sphinx-theme~=0.14
sphinx-autobuild
sphinx-design
sphinx-copybutton
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/api/compute.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -590,4 +590,4 @@ User-Defined Functions
 :toctree: ../generated/

 register_scalar_function
ScalarUdfContext
UdfContext

4 changes: 2 additions & 2 deletions
docs/source/python/compute.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -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`:
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/pandas.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -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

Expand Down

, 'i');
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var __re = new RegExp('^' + ".*" + '
GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.* by jorisvandenbossche · Pull Request #39758 · apache/arrow · GitHub
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GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*#39758

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jorisvandenbossche
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GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*
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7b8b101

GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*


jorisvandenbossche Jan 23, 2024
db58502

ScalarUdfContext -> UdfContext in the docs


jorisvandenbossche Jan 23, 2024
b725f0c

pandas compat


jorisvandenbossche Jan 23, 2024
580b355

Merge remote-tracking branch 'upstream/main' into gh-39640


jorisvandenbossche Jan 30, 2024

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2 changes: 1 addition & 1 deletion
ci/conda_env_sphinx.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -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
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2 changes: 1 addition & 1 deletion
docs/requirements.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -5,7 +5,7 @@
breathe
ipython
numpydoc
pydata-sphinx-theme==0.14.1
pydata-sphinx-theme~=0.14
sphinx-autobuild
sphinx-design
sphinx-copybutton
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/api/compute.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -590,4 +590,4 @@ User-Defined Functions
 :toctree: ../generated/

 register_scalar_function
ScalarUdfContext
UdfContext

4 changes: 2 additions & 2 deletions
docs/source/python/compute.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -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`:
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/pandas.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -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

Expand Down

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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.* by jorisvandenbossche · Pull Request #39758 · apache/arrow · GitHub
Skip to content
GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*#39758

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 Merged

jorisvandenbossche
merged 4 commits into

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Jan 30, 2024
 Merged


GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*
#39758
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7b8b101

GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*


jorisvandenbossche Jan 23, 2024
db58502

ScalarUdfContext -> UdfContext in the docs


jorisvandenbossche Jan 23, 2024
b725f0c

pandas compat


jorisvandenbossche Jan 23, 2024
580b355

Merge remote-tracking branch 'upstream/main' into gh-39640


jorisvandenbossche Jan 30, 2024

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2 changes: 1 addition & 1 deletion
ci/conda_env_sphinx.txt

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Original file line numberDiff line numberDiff line change
Expand Up@@ -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
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2 changes: 1 addition & 1 deletion
docs/requirements.txt

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -5,7 +5,7 @@
breathe
ipython
numpydoc
pydata-sphinx-theme==0.14.1
pydata-sphinx-theme~=0.14
sphinx-autobuild
sphinx-design
sphinx-copybutton
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/api/compute.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -590,4 +590,4 @@ User-Defined Functions
 :toctree: ../generated/

 register_scalar_function
ScalarUdfContext
UdfContext

4 changes: 2 additions & 2 deletions
docs/source/python/compute.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -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`:
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/pandas.rst

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -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

Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
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var enabled = true;
function applyDarkMode() {
if (!enabled) return;
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style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
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style.textContent = '
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filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
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filter: invert(1) hue-rotate(180deg) !important;
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.markdown-body pre, .markdown-body pre *,
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pre code, pre code * {
filter: none !important;
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/* Fix common UI elements */
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filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
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::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
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applyDarkMode();
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console.log('[Universal Dark Mode] Disabled');
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// Re-apply on dynamic content
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if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.* by jorisvandenbossche · Pull Request #39758 · apache/arrow · GitHub
Skip to content
GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*#39758

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 Merged

jorisvandenbossche
merged 4 commits into

from

Jan 30, 2024
 Merged


GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*
#39758
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7b8b101

GH-39640: [Docs] Pin pydata-sphinx-theme to 0.14.*


jorisvandenbossche Jan 23, 2024
db58502

ScalarUdfContext -> UdfContext in the docs


jorisvandenbossche Jan 23, 2024
b725f0c

pandas compat


jorisvandenbossche Jan 23, 2024
580b355

Merge remote-tracking branch 'upstream/main' into gh-39640


jorisvandenbossche Jan 30, 2024

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2 changes: 1 addition & 1 deletion
ci/conda_env_sphinx.txt

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -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
Expand Down

2 changes: 1 addition & 1 deletion
docs/requirements.txt

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -5,7 +5,7 @@
breathe
ipython
numpydoc
pydata-sphinx-theme==0.14.1
pydata-sphinx-theme~=0.14
sphinx-autobuild
sphinx-design
sphinx-copybutton
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/api/compute.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -590,4 +590,4 @@ User-Defined Functions
 :toctree: ../generated/

 register_scalar_function
ScalarUdfContext
UdfContext

4 changes: 2 additions & 2 deletions
docs/source/python/compute.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -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`:
Expand Down

2 changes: 1 addition & 1 deletion
docs/source/python/pandas.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -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

Expand Down