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new 7193904bd46 Updating dev docs (build nightly-tests-2025-09-01-0)
7193904bd46 is described below
commit 7193904bd46cff77054619b9aeb1633b229ea399
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Tue Sep 2 00:32:41 2025 +0000
Updating dev docs (build nightly-tests-2025-09-01-0)
---
docs/dev/python/data.html | 46 +++++------
docs/dev/python/dataset.html | 136 ++++++++++++++++----------------
docs/dev/python/getstarted.html | 2 +-
docs/dev/python/memory.html | 6 +-
docs/dev/python/pandas.html | 6 +-
docs/dev/python/parquet.html | 12 +--
docs/dev/r/articles/data_wrangling.html | 16 ++--
docs/dev/r/pkgdown.yml | 2 +-
docs/dev/r/reference/to_duckdb.html | 10 +--
docs/dev/r/search.json | 2 +-
docs/dev/searchindex.js | 2 +-
11 files changed, 120 insertions(+), 120 deletions(-)
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
index 92efe147f86..ca5e2bbd19d 100644
--- a/docs/dev/python/data.html
+++ b/docs/dev/python/data.html
@@ -1684,7 +1684,7 @@ for you:</p>
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<span class="go">[</span>
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@@ -1696,7 +1696,7 @@ for you:</p>
<p>But you may also pass a specific data type to override type inference:</p>
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@@ -1870,7 +1870,7 @@ level and at the individual field level. If initializing
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class="highlight"><pre><span></span><span class="gp">In [50]: </span><span
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@@ -2161,7 +2161,7 @@ consider an example:</p>
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diff --git a/docs/dev/python/dataset.html b/docs/dev/python/dataset.html
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@@ -1570,7 +1570,7 @@ can pass it the path to the directory containing the data
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</pre></div>
</div>
<p>In addition to searching a base directory, <a class="reference internal"
href="generated/pyarrow.dataset.dataset.html#pyarrow.dataset.dataset"
title="pyarrow.dataset.dataset"><code class="xref py py-func docutils literal
notranslate"><span class="pre">dataset()</span></code></a> accepts a path to a
@@ -1579,8 +1579,8 @@ single file or a list of file paths.</p>
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class="highlight"><pre><span></span><span class="gp">In [14]: </span><span
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</pre></div>
</div>
<p>… and infers the dataset’s schema (by default from the first file):</p>
@@ -1601,23 +1601,23 @@ this can require a lot of memory, see below on
filtering / iterative loading):</
<span class="go">c: int64</span>
<span class="gt">----</span>
<span class="ne">a</span>: [[0,1,2,3,4],[5,6,7,8,9]]
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[[0.3963703757322611,-0.4884886609415747,0.3023416523175899,-0.586604128975402,0.35809637906956693],[1.3949875009110537,-1.7978619822553938,-0.9115687780658893,-0.18191878714238124,-1.4063265320600156]]
+<span class="ne">b</span>:
[[-0.1694162716388508,0.6969644331142741,0.6717825177514348,0.8407720369799905,-0.816650918333071],[0.005195381881776177,-1.1991999333257422,1.3256885245702033,-0.9074315505396504,-0.13879810853175725]]
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<span class="c1"># converting to pandas to see the contents of the scanned
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class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
<span class="gh">Out[17]: </span>
<span class="go"> a b c</span>
-<span class="go">0 0 0.396370 1</span>
-<span class="go">1 1 -0.488489 2</span>
-<span class="go">2 2 0.302342 1</span>
-<span class="go">3 3 -0.586604 2</span>
-<span class="go">4 4 0.358096 1</span>
-<span class="go">5 5 1.394988 2</span>
-<span class="go">6 6 -1.797862 1</span>
-<span class="go">7 7 -0.911569 2</span>
-<span class="go">8 8 -0.181919 1</span>
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+<span class="go">0 0 -0.169416 1</span>
+<span class="go">1 1 0.696964 2</span>
+<span class="go">2 2 0.671783 1</span>
+<span class="go">3 3 0.840772 2</span>
+<span class="go">4 4 -0.816651 1</span>
+<span class="go">5 5 0.005195 2</span>
+<span class="go">6 6 -1.199200 1</span>
+<span class="go">7 7 1.325689 2</span>
+<span class="go">8 8 -0.907432 1</span>
+<span class="go">9 9 -0.138798 2</span>
</pre></div>
</div>
</section>
@@ -1640,11 +1640,11 @@ supported; more formats are planned in the future.</p>
<span class="gp">In [21]: </span><span class="n">dataset</span><span
class="o">.</span><span class="n">to_table</span><span class="p">()</span><span
class="o">.</span><span class="n">to_pandas</span><span
class="p">()</span><span class="o">.</span><span class="n">head</span><span
class="p">()</span>
<span class="gh">Out[21]: </span>
<span class="go"> a b c</span>
-<span class="go">0 0 0.396370 1</span>
-<span class="go">1 1 -0.488489 2</span>
-<span class="go">2 2 0.302342 1</span>
-<span class="go">3 3 -0.586604 2</span>
-<span class="go">4 4 0.358096 1</span>
+<span class="go">0 0 -0.169416 1</span>
+<span class="go">1 1 0.696964 2</span>
+<span class="go">2 2 0.671783 1</span>
+<span class="go">3 3 0.840772 2</span>
+<span class="go">4 4 -0.816651 1</span>
</pre></div>
</div>
</section>
@@ -1676,16 +1676,16 @@ supported; more formats are planned in the future.</p>
<span class="gp">In [23]: </span><span class="n">dataset</span><span
class="o">.</span><span class="n">to_table</span><span class="p">(</span><span
class="n">columns</span><span class="o">=</span><span class="p">[</span><span
class="s1">'a'</span><span class="p">,</span> <span
class="s1">'b'</span><span class="p">])</span><span
class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
<span class="gh">Out[23]: </span>
<span class="go"> a b</span>
-<span class="go">0 0 0.396370</span>
-<span class="go">1 1 -0.488489</span>
-<span class="go">2 2 0.302342</span>
-<span class="go">3 3 -0.586604</span>
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+<span class="go">2 2 0.671783</span>
+<span class="go">3 3 0.840772</span>
+<span class="go">4 4 -0.816651</span>
+<span class="go">5 5 0.005195</span>
+<span class="go">6 6 -1.199200</span>
+<span class="go">7 7 1.325689</span>
+<span class="go">8 8 -0.907432</span>
+<span class="go">9 9 -0.138798</span>
</pre></div>
</div>
<p>With the <code class="docutils literal notranslate"><span
class="pre">filter</span></code> keyword, rows which do not match the filter
predicate will
@@ -1694,18 +1694,18 @@ not be included in the returned table. The keyword
expects a boolean
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [24]: </span><span
class="n">dataset</span><span class="o">.</span><span
class="n">to_table</span><span class="p">(</span><span
class="nb">filter</span><span class="o">=</span><span class="n">ds</span><span
class="o">.</span><span class="n">field</span><span class="p">(</span><span
class="s1">'a'</span><span class="p">)</span> <span
class="o">>=</span> <span class="mi">7</sp [...]
<span class="gh">Out[24]: </span>
<span class="go"> a b c</span>
-<span class="go">0 7 -0.911569 2</span>
-<span class="go">1 8 -0.181919 1</span>
-<span class="go">2 9 -1.406327 2</span>
+<span class="go">0 7 1.325689 2</span>
+<span class="go">1 8 -0.907432 1</span>
+<span class="go">2 9 -0.138798 2</span>
<span class="gp">In [25]: </span><span class="n">dataset</span><span
class="o">.</span><span class="n">to_table</span><span class="p">(</span><span
class="nb">filter</span><span class="o">=</span><span class="n">ds</span><span
class="o">.</span><span class="n">field</span><span class="p">(</span><span
class="s1">'c'</span><span class="p">)</span> <span class="o">==</span>
<span class="mi">2</span><span class="p">)</span><span class="o">.</span><span
class="n">to_pandas</span><spa [...]
<span class="gh">Out[25]: </span>
<span class="go"> a b c</span>
-<span class="go">0 1 -0.488489 2</span>
-<span class="go">1 3 -0.586604 2</span>
-<span class="go">2 5 1.394988 2</span>
-<span class="go">3 7 -0.911569 2</span>
-<span class="go">4 9 -1.406327 2</span>
+<span class="go">0 1 0.696964 2</span>
+<span class="go">1 3 0.840772 2</span>
+<span class="go">2 5 0.005195 2</span>
+<span class="go">3 7 1.325689 2</span>
+<span class="go">4 9 -0.138798 2</span>
</pre></div>
</div>
<p>The easiest way to construct those <a class="reference internal"
href="generated/pyarrow.dataset.Expression.html#pyarrow.dataset.Expression"
title="pyarrow.dataset.Expression"><code class="xref py py-class docutils
literal notranslate"><span class="pre">Expression</span></code></a> objects is
by using the
@@ -1750,11 +1750,11 @@ values:</p>
<span class="gp">In [30]: </span><span class="n">dataset</span><span
class="o">.</span><span class="n">to_table</span><span class="p">(</span><span
class="n">columns</span><span class="o">=</span><span
class="n">projection</span><span class="p">)</span><span
class="o">.</span><span class="n">to_pandas</span><span
class="p">()</span><span class="o">.</span><span class="n">head</span><span
class="p">()</span>
<span class="gh">Out[30]: </span>
<span class="go"> a_renamed b_as_float32 c_1</span>
-<span class="go">0 0 0.396370 True</span>
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-<span class="go">4 4 0.358096 True</span>
+<span class="go">0 0 -0.169416 True</span>
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+<span class="go">2 2 0.671782 True</span>
+<span class="go">3 3 0.840772 False</span>
+<span class="go">4 4 -0.816651 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1768,11 +1768,11 @@ build up the dictionary from the dataset schema:</p>
<span class="gp">In [33]: </span><span class="n">dataset</span><span
class="o">.</span><span class="n">to_table</span><span class="p">(</span><span
class="n">columns</span><span class="o">=</span><span
class="n">projection</span><span class="p">)</span><span
class="o">.</span><span class="n">to_pandas</span><span
class="p">()</span><span class="o">.</span><span class="n">head</span><span
class="p">()</span>
<span class="gh">Out[33]: </span>
<span class="go"> a b c b_large</span>
-<span class="go">0 0 0.396370 1 False</span>
-<span class="go">1 1 -0.488489 2 False</span>
-<span class="go">2 2 0.302342 1 False</span>
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+<span class="go">2 2 0.671783 1 False</span>
+<span class="go">3 3 0.840772 2 False</span>
+<span class="go">4 4 -0.816651 1 False</span>
</pre></div>
</div>
</section>
@@ -1825,8 +1825,8 @@ should use a hive-like partitioning scheme with the <code
class="docutils litera
<span class="gp">In [37]: </span><span class="n">dataset</span><span
class="o">.</span><span class="n">files</span>
<span class="gh">Out[37]: </span>
-<span
class="go">['parquet_dataset_partitioned/part=a/c73b3a7d1d2944479d731c0f81c79621-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/c73b3a7d1d2944479d731c0f81c79621-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/0d39110de9d54db482a03240e9f4edc5-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/0d39110de9d54db482a03240e9f4edc5-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1834,9 +1834,9 @@ they will be added back to the resulting table when
scanning this dataset:</p>
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [38]: </span><span
class="n">dataset</span><span class="o">.</span><span
class="n">to_table</span><span class="p">()</span><span class="o">.</span><span
class="n">to_pandas</span><span class="p">()</span><span
class="o">.</span><span class="n">head</span><span class="p">(</span><span
class="mi">3</span><span class="p">)</span>
<span class="gh">Out[38]: </span>
<span class="go"> a b c part</span>
-<span class="go">0 0 -0.244092 1 a</span>
-<span class="go">1 1 -1.039386 2 a</span>
-<span class="go">2 2 -0.951165 1 a</span>
+<span class="go">0 0 -2.132287 1 a</span>
+<span class="go">1 1 -0.945472 2 a</span>
+<span class="go">2 2 -0.200810 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1844,11 +1844,11 @@ altogether if they do not match the filter:</p>
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [39]: </span><span
class="n">dataset</span><span class="o">.</span><span
class="n">to_table</span><span class="p">(</span><span
class="nb">filter</span><span class="o">=</span><span class="n">ds</span><span
class="o">.</span><span class="n">field</span><span class="p">(</span><span
class="s2">"part"</span><span class="p">)</span> <span
class="o">==</span> <span class="s2">&qu [...]
<span class="gh">Out[39]: </span>
<span class="go"> a b c part</span>
-<span class="go">0 5 0.641769 2 b</span>
-<span class="go">1 6 -1.483567 1 b</span>
-<span class="go">2 7 1.347340 2 b</span>
-<span class="go">3 8 0.701795 1 b</span>
-<span class="go">4 9 -1.384851 2 b</span>
+<span class="go">0 5 0.319099 2 b</span>
+<span class="go">1 6 -1.071172 1 b</span>
+<span class="go">2 7 0.109867 2 b</span>
+<span class="go">3 8 -0.432742 1 b</span>
+<span class="go">4 9 -1.026218 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -1980,19 +1980,19 @@ is materialized as columns when reading the data and
can be used for filtering:<
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [47]: </span><span
class="n">dataset</span><span class="o">.</span><span
class="n">to_table</span><span class="p">()</span><span class="o">.</span><span
class="n">to_pandas</span><span class="p">()</span>
<span class="gh">Out[47]: </span>
<span class="go"> year col1 col2</span>
-<span class="go">0 2018 0 0.470272</span>
-<span class="go">1 2018 1 -0.721743</span>
-<span class="go">2 2018 2 -0.450603</span>
-<span class="go">3 2019 0 0.470272</span>
-<span class="go">4 2019 1 -0.721743</span>
-<span class="go">5 2019 2 -0.450603</span>
+<span class="go">0 2018 0 1.328963</span>
+<span class="go">1 2018 1 -0.867398</span>
+<span class="go">2 2018 2 0.107156</span>
+<span class="go">3 2019 0 1.328963</span>
+<span class="go">4 2019 1 -0.867398</span>
+<span class="go">5 2019 2 0.107156</span>
<span class="gp">In [48]: </span><span class="n">dataset</span><span
class="o">.</span><span class="n">to_table</span><span class="p">(</span><span
class="nb">filter</span><span class="o">=</span><span class="n">ds</span><span
class="o">.</span><span class="n">field</span><span class="p">(</span><span
class="s1">'year'</span><span class="p">)</span> <span
class="o">==</span> <span class="mi">2019</span><span class="p">)</span><span
class="o">.</span><span class="n">to_pandas</spa [...]
<span class="gh">Out[48]: </span>
<span class="go"> year col1 col2</span>
-<span class="go">0 2019 0 0.470272</span>
-<span class="go">1 2019 1 -0.721743</span>
-<span class="go">2 2019 2 -0.450603</span>
+<span class="go">0 2019 0 1.328963</span>
+<span class="go">1 2019 1 -0.867398</span>
+<span class="go">2 2019 2 0.107156</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2244,7 +2244,7 @@ to supply a visitor that will be called as each file is
created:</p>
<span class="gp"> ....: </span>
<span class="go">path=dataset_visited/c=1/part-0.parquet</span>
<span class="go">size=824 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7faa9c7ecae0></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f369bcda110></span>
<span class="go"> created_by: parquet-cpp-arrow version 22.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 2</span>
<span class="go"> num_rows: 5</span>
@@ -2253,7 +2253,7 @@ to supply a visitor that will be called as each file is
created:</p>
<span class="go"> serialized_size: 0</span>
<span class="go">path=dataset_visited/c=2/part-0.parquet</span>
<span class="go">size=826 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7faa9c71d530></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f369bcda110></span>
<span class="go"> created_by: parquet-cpp-arrow version 22.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 2</span>
<span class="go"> num_rows: 5</span>
diff --git a/docs/dev/python/getstarted.html b/docs/dev/python/getstarted.html
index 403ff523901..dcf7e0f3667 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1595,7 +1595,7 @@ it’s possible to apply transformations to the data</p>
<span class="gp">In [12]: </span><span class="n">pc</span><span
class="o">.</span><span class="n">value_counts</span><span
class="p">(</span><span class="n">birthdays_table</span><span
class="p">[</span><span class="s2">"years"</span><span
class="p">])</span>
<span class="gh">Out[12]: </span>
-<span class="go"><pyarrow.lib.StructArray object at
0x7faa71235960></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f366b5f5a20></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- child 0 type: int16</span>
<span class="go"> [</span>
diff --git a/docs/dev/python/memory.html b/docs/dev/python/memory.html
index dcd8a625355..55f1b9c5152 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1544,7 +1544,7 @@ a bytes object:</p>
<span class="gp">In [3]: </span><span class="n">buf</span> <span
class="o">=</span> <span class="n">pa</span><span class="o">.</span><span
class="n">py_buffer</span><span class="p">(</span><span
class="n">data</span><span class="p">)</span>
<span class="gp">In [4]: </span><span class="n">buf</span>
-<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7faa6fc6dad0 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7f3669ebc090 size=26 is_cpu=True is_mutable=False></span>
<span class="gp">In [5]: </span><span class="n">buf</span><span
class="o">.</span><span class="n">size</span>
<span class="gh">Out[5]: </span><span class="go">26</span>
@@ -1557,7 +1557,7 @@ referenced using the <a class="reference internal"
href="generated/pyarrow.forei
<p>Buffers can be used in circumstances where a Python buffer or memoryview is
required, and such conversions are zero-copy:</p>
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [6]: </span><span
class="nb">memoryview</span><span class="p">(</span><span
class="n">buf</span><span class="p">)</span>
-<span class="gh">Out[6]: </span><span class="go"><memory at
0x7faa712f6680></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7f366b4ae680></span>
</pre></div>
</div>
<p>The Buffer’s <a class="reference internal"
href="generated/pyarrow.Buffer.html#pyarrow.Buffer.to_pybytes"
title="pyarrow.Buffer.to_pybytes"><code class="xref py py-meth docutils literal
notranslate"><span class="pre">to_pybytes()</span></code></a> method converts
the Buffer’s data to a
@@ -1756,7 +1756,7 @@ into Arrow Buffer objects, use <code class="docutils
literal notranslate"><span
<span class="gp">In [32]: </span><span class="n">buf</span> <span
class="o">=</span> <span class="n">mmap</span><span class="o">.</span><span
class="n">read_buffer</span><span class="p">(</span><span
class="mi">4</span><span class="p">)</span>
<span class="gp">In [33]: </span><span class="nb">print</span><span
class="p">(</span><span class="n">buf</span><span class="p">)</span>
-<span class="go"><pyarrow.Buffer address=0x7fab0743d000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7f370695b000 size=4 is_cpu=True
is_mutable=False></span>
<span class="gp">In [34]: </span><span class="n">buf</span><span
class="o">.</span><span class="n">to_pybytes</span><span class="p">()</span>
<span class="gh">Out[34]: </span><span class="go">b'some'</span>
diff --git a/docs/dev/python/pandas.html b/docs/dev/python/pandas.html
index f08dd2922ec..3f554f57a20 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1718,7 +1718,7 @@ same categories of the Pandas DataFrame.</p>
<span class="gp">In [10]: </span><span class="n">chunk</span><span
class="o">.</span><span class="n">dictionary</span>
<span class="gh">Out[10]: </span>
-<span class="go"><pyarrow.lib.StringArray object at
0x7faaea748ee0></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f36e9f24940></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1727,7 +1727,7 @@ same categories of the Pandas DataFrame.</p>
<span class="gp">In [11]: </span><span class="n">chunk</span><span
class="o">.</span><span class="n">indices</span>
<span class="gh">Out[11]: </span>
-<span class="go"><pyarrow.lib.Int8Array object at 0x7faaea748ca0></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7f3669d347c0></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1853,7 +1853,7 @@ converted to an Arrow <code class="docutils literal
notranslate"><span class="pr
<span class="gp">In [33]: </span><span class="n">arr</span>
<span class="gh">Out[33]: </span>
-<span class="go"><pyarrow.lib.Time64Array object at
0x7faaea74ad40></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7f369bbf2500></span>
<span class="go">[</span>
<span class="go"> 01:01:01.000000,</span>
<span class="go"> 02:02:02.000000</span>
diff --git a/docs/dev/python/parquet.html b/docs/dev/python/parquet.html
index 39258d91ddf..bfb267e7ae7 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1689,7 +1689,7 @@ you may choose to omit it by passing <code
class="docutils literal notranslate">
<span class="gp">In [20]: </span><span class="n">parquet_file</span><span
class="o">.</span><span class="n">metadata</span>
<span class="gh">Out[20]: </span>
-<span class="go"><pyarrow._parquet.FileMetaData object at
0x7faaea7d11c0></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f3669e2b7e0></span>
<span class="go"> created_by: parquet-cpp-arrow version 22.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1699,7 +1699,7 @@ you may choose to omit it by passing <code
class="docutils literal notranslate">
<span class="gp">In [21]: </span><span class="n">parquet_file</span><span
class="o">.</span><span class="n">schema</span>
<span class="gh">Out[21]: </span>
-<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7faaea62eac0></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7f36e9fce840></span>
<span class="go">required group field_id=-1 schema {</span>
<span class="go"> optional double field_id=-1 one;</span>
<span class="go"> optional binary field_id=-1 two (String);</span>
@@ -1757,7 +1757,7 @@ concatenate them into a single table. You can read
individual row groups with
<span class="gp">In [30]: </span><span class="n">metadata</span>
<span class="gh">Out[30]: </span>
-<span class="go"><pyarrow._parquet.FileMetaData object at
0x7faaea62a750></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f3669dc7290></span>
<span class="go"> created_by: parquet-cpp-arrow version 22.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1771,7 +1771,7 @@ concatenate them into a single table. You can read
individual row groups with
such as the row groups and column chunk metadata and statistics:</p>
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [31]: </span><span
class="n">metadata</span><span class="o">.</span><span
class="n">row_group</span><span class="p">(</span><span
class="mi">0</span><span class="p">)</span>
<span class="gh">Out[31]: </span>
-<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7faaea7d2f70></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7f3669e2ba60></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 290</span>
@@ -1779,7 +1779,7 @@ such as the row groups and column chunk metadata and
statistics:</p>
<span class="gp">In [32]: </span><span class="n">metadata</span><span
class="o">.</span><span class="n">row_group</span><span class="p">(</span><span
class="mi">0</span><span class="p">)</span><span class="o">.</span><span
class="n">column</span><span class="p">(</span><span class="mi">0</span><span
class="p">)</span>
<span class="gh">Out[32]: </span>
-<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7faa6fc77330></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7f36e9e14180></span>
<span class="go"> file_offset: 0</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1787,7 +1787,7 @@ such as the row groups and column chunk metadata and
statistics:</p>
<span class="go"> path_in_schema: one</span>
<span class="go"> is_stats_set: True</span>
<span class="go"> statistics:</span>
-<span class="go"> <pyarrow._parquet.Statistics object at
0x7faa71406520></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7f36e9e141d0></span>
<span class="go"> has_min_max: True</span>
<span class="go"> min: -1.0</span>
<span class="go"> max: 2.5</span>
diff --git a/docs/dev/r/articles/data_wrangling.html
b/docs/dev/r/articles/data_wrangling.html
index 7003d6f7ec0..66c256ff3e0 100644
--- a/docs/dev/r/articles/data_wrangling.html
+++ b/docs/dev/r/articles/data_wrangling.html
@@ -413,14 +413,14 @@ paying a performance penalty using the helper function
<span><span class="co">## <span style="color: #949494; font-style:
italic;"><chr></span> <span style="color: #949494;
font-style: italic;"><int></span> <span style="color: #949494;
font-style: italic;"><dbl></span> <span style="color: #949494;
font-style: italic;"><chr></span> </span></span>
<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> <span
style="color: #949494;">"</span>Luke Skywalker<span style="color:
#949494;">"</span> 172 77 blond </span></span>
<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> <span
style="color: #949494;">"</span>Finis Valorum<span style="color:
#949494;">"</span> 170 <span style="color: #BB0000;">NA</span>
blond </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> <span
style="color: #949494;">"</span>Leia Organa<span style="color:
#949494;">"</span> 150 49 brown </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> <span
style="color: #949494;">"</span>Beru Whitesun Lars<span style="color:
#949494;">"</span> 165 75 brown </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> <span
style="color: #949494;">"</span>Wedge Antilles<span style="color:
#949494;">"</span> 170 77 brown </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> <span
style="color: #949494;">"</span>Wicket Systri Warrick<span style="color:
#949494;">"</span> 88 20 brown </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> <span
style="color: #949494;">"</span>Cord\u00e9<span style="color:
#949494;">"</span> 157 <span style="color: #BB0000;">NA</span>
brown </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> <span
style="color: #949494;">"</span>Dorm\u00e9<span style="color:
#949494;">"</span> 165 <span style="color: #BB0000;">NA</span>
brown </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> <span
style="color: #949494;">"</span>Watto<span style="color: #949494;">"</span>
137 <span style="color: #BB0000;">NA</span> black
</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> <span
style="color: #949494;">"</span>Shmi Skywalker<span style="color:
#949494;">"</span> 163 <span style="color: #BB0000;">NA</span>
black </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> <span
style="color: #949494;">"</span>Yoda<span style="color: #949494;">"</span>
66 17 white </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> <span
style="color: #949494;">"</span>Leia Organa<span style="color:
#949494;">"</span> 150 49 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> <span
style="color: #949494;">"</span>Beru Whitesun Lars<span style="color:
#949494;">"</span> 165 75 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> <span
style="color: #949494;">"</span>Wedge Antilles<span style="color:
#949494;">"</span> 170 77 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> <span
style="color: #949494;">"</span>Wicket Systri Warrick<span style="color:
#949494;">"</span> 88 20 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> <span
style="color: #949494;">"</span>Cord\u00e9<span style="color:
#949494;">"</span> 157 <span style="color: #BB0000;">NA</span>
brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> <span
style="color: #949494;">"</span>Dorm\u00e9<span style="color:
#949494;">"</span> 165 <span style="color: #BB0000;">NA</span>
brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> <span
style="color: #949494;">"</span>Watto<span style="color: #949494;">"</span>
137 <span style="color: #BB0000;">NA</span> black
</span></span>
<span><span class="co">## <span style="color: #949494;"># i 18 more
rows</span></span></span></code></pre>
</div>
<div class="section level2">
diff --git a/docs/dev/r/pkgdown.yml b/docs/dev/r/pkgdown.yml
index 1b3ee454bd4..7310ad7da16 100644
--- a/docs/dev/r/pkgdown.yml
+++ b/docs/dev/r/pkgdown.yml
@@ -21,7 +21,7 @@ articles:
read_write: read_write.html
developers/setup: developers/setup.html
developers/workflow: developers/workflow.html
-last_built: 2025-08-31T01:26Z
+last_built: 2025-09-01T01:44Z
urls:
reference: https://arrow.apache.org/docs/r/reference
article: https://arrow.apache.org/docs/r/articles
diff --git a/docs/dev/r/reference/to_duckdb.html
b/docs/dev/r/reference/to_duckdb.html
index 5a4814efb3d..b0bfca5f848 100644
--- a/docs/dev/r/reference/to_duckdb.html
+++ b/docs/dev/r/reference/to_duckdb.html
@@ -145,11 +145,11 @@ using them.</p>
<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#949494;"># Groups: cyl</span></span>
<span class="r-out co"><span class="r-pr">#></span> mpg cyl disp
hp drat wt qsec vs am gear carb</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#949494; font-style: italic;"><dbl></span> <span style="color: #949494;
font-style: italic;"><dbl></span> <span style="color: #949494;
font-style: italic;"><dbl></span> <span style="color: #949494;
font-style: italic;"><dbl></span> <span style="color: #949494;
font-style: italic;"><dbl></span> <span style="color: #949494;
font-style: italic;"><dbl></span> <span style="color: # [...]
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">1</span> 16.4 8 276. 180 3.07 4.07 17.4 0 0 3
3</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">2</span> 17.3 8 276. 180 3.07 3.73 17.6 0 0 3
3</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">3</span> 15.2 8 276. 180 3.07 3.78 18 0 0 3
3</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">4</span> 27.3 4 79 66 4.08 1.94 18.9 1 1 4
1</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">5</span> 19.7 6 145 175 3.62 2.77 15.5 0 1 5
6</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">1</span> 19.7 6 145 175 3.62 2.77 15.5 0 1 5
6</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">2</span> 16.4 8 276. 180 3.07 4.07 17.4 0 0 3
3</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">3</span> 17.3 8 276. 180 3.07 3.73 17.6 0 0 3
3</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">4</span> 15.2 8 276. 180 3.07 3.78 18 0 0 3
3</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">5</span> 27.3 4 79 66 4.08 1.94 18.9 1 1 4
1</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of
contents"><h2>On this page</h2>
diff --git a/docs/dev/r/search.json b/docs/dev/r/search.json
index 5dbdaef4bd5..d0c915e8be1 100644
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+++ b/docs/dev/r/search.json
@@ -1 +1 @@
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Release Management
Guide.","code":""},{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":"before-the-arrow-release-candidate-is-created","dir":"","previous_headings":"","what":"Before
the Arrow Release Candidate Is Create [...]
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Checklist for CRAN Release","title":"Packaging Checklist for CRAN
Release","text":"high-level overview Arrow release process see Apache Arrow
Release Management
Guide.","code":""},{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":"before-the-arrow-release-candidate-is-created","dir":"","previous_headings":"","what":"Before
the Arrow Release Candidate Is Create [...]
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index ea8920957b1..9b8a58445ee 100644
--- a/docs/dev/searchindex.js
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@@ -1 +1 @@
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guarantees":[[42,"a-note-on-transactions-acid-guarantees"],[182,"a-note-on-transactions-acid-guarantees"]],"ABI
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