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new 7d1b157f3c0 Updating dev docs (build nightly-tests-2025-07-27-0)
7d1b157f3c0 is described below
commit 7d1b157f3c02e6cec4e41ae538c3859cc73987f3
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Mon Jul 28 00:39:57 2025 +0000
Updating dev docs (build nightly-tests-2025-07-27-0)
---
docs/dev/python/data.html | 46 +++++------
docs/dev/python/dataset.html | 136 ++++++++++++++++----------------
docs/dev/python/getstarted.html | 2 +-
docs/dev/python/memory.html | 8 +-
docs/dev/python/pandas.html | 6 +-
docs/dev/python/parquet.html | 12 +--
docs/dev/r/articles/data_wrangling.html | 24 +++---
docs/dev/r/pkgdown.yml | 2 +-
docs/dev/r/reference/to_arrow.html | 6 +-
docs/dev/r/reference/to_duckdb.html | 4 +-
docs/dev/r/search.json | 2 +-
docs/dev/searchindex.js | 2 +-
12 files changed, 125 insertions(+), 125 deletions(-)
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
index 0155c144a0b..5de19549aa7 100644
--- a/docs/dev/python/data.html
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</pre></div>
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<p>… and infers the dataset’s schema (by default from the first file):</p>
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</pre></div>
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</section>
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</pre></div>
</div>
</section>
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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 0.016394</span>
-<span class="go">1 1 1.035231</span>
-<span class="go">2 2 0.286494</span>
-<span class="go">3 3 -0.879862</span>
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+<span class="go">8 8 -0.817208</span>
+<span class="go">9 9 -0.266895</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
@@ -1696,18 +1696,18 @@ 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 -0.367396 2</span>
-<span class="go">1 8 -0.550315 1</span>
-<span class="go">2 9 0.325420 2</span>
+<span class="go">0 7 -0.636864 2</span>
+<span class="go">1 8 -0.817208 1</span>
+<span class="go">2 9 -0.266895 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 1.035231 2</span>
-<span class="go">1 3 -0.879862 2</span>
-<span class="go">2 5 -0.185855 2</span>
-<span class="go">3 7 -0.367396 2</span>
-<span class="go">4 9 0.325420 2</span>
+<span class="go">0 1 1.120469 2</span>
+<span class="go">1 3 0.859128 2</span>
+<span class="go">2 5 -1.515176 2</span>
+<span class="go">3 7 -0.636864 2</span>
+<span class="go">4 9 -0.266895 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
@@ -1752,11 +1752,11 @@ 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 0.016394 True</span>
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-<span class="go">2 2 0.286494 True</span>
-<span class="go">3 3 -0.879862 False</span>
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+<span class="go">0 0 -0.692494 True</span>
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+<span class="go">2 2 -1.878733 True</span>
+<span class="go">3 3 0.859128 False</span>
+<span class="go">4 4 -0.411485 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1770,11 +1770,11 @@ 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>
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+<span class="go">2 2 -1.878733 1 False</span>
+<span class="go">3 3 0.859128 2 False</span>
+<span class="go">4 4 -0.411485 1 False</span>
</pre></div>
</div>
</section>
@@ -1827,8 +1827,8 @@ 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/99fa07967a114032a2364e94943ce2a2-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/99fa07967a114032a2364e94943ce2a2-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/14dada0b01c0422fbb5f5ab47706e64c-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/14dada0b01c0422fbb5f5ab47706e64c-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1836,9 +1836,9 @@ 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 0.516637 1 a</span>
-<span class="go">1 1 0.089945 2 a</span>
-<span class="go">2 2 1.212421 1 a</span>
+<span class="go">0 0 0.641660 1 a</span>
+<span class="go">1 1 0.518726 2 a</span>
+<span class="go">2 2 -0.323931 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1846,11 +1846,11 @@ 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 -0.817568 2 b</span>
-<span class="go">1 6 0.915242 1 b</span>
-<span class="go">2 7 0.786321 2 b</span>
-<span class="go">3 8 -0.485098 1 b</span>
-<span class="go">4 9 -0.440488 2 b</span>
+<span class="go">0 5 0.091284 2 b</span>
+<span class="go">1 6 -1.390049 1 b</span>
+<span class="go">2 7 -0.913358 2 b</span>
+<span class="go">3 8 0.626237 1 b</span>
+<span class="go">4 9 0.022392 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -1982,19 +1982,19 @@ 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 -0.592051</span>
-<span class="go">1 2018 1 -0.002280</span>
-<span class="go">2 2018 2 0.242425</span>
-<span class="go">3 2019 0 -0.592051</span>
-<span class="go">4 2019 1 -0.002280</span>
-<span class="go">5 2019 2 0.242425</span>
+<span class="go">0 2018 0 -0.717031</span>
+<span class="go">1 2018 1 -2.356776</span>
+<span class="go">2 2018 2 -1.750516</span>
+<span class="go">3 2019 0 -0.717031</span>
+<span class="go">4 2019 1 -2.356776</span>
+<span class="go">5 2019 2 -1.750516</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 -0.592051</span>
-<span class="go">1 2019 1 -0.002280</span>
-<span class="go">2 2019 2 0.242425</span>
+<span class="go">0 2019 0 -0.717031</span>
+<span class="go">1 2019 1 -2.356776</span>
+<span class="go">2 2019 2 -1.750516</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2246,7 +2246,7 @@ 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=816 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f5bc849f510></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f71d4d1f4c0></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>
@@ -2255,7 +2255,7 @@ 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=818 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f5bc849f510></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f71d820bf10></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 c09e4159f8d..dbd38916d67 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1597,7 +1597,7 @@ 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
0x7f5b986a0820></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f71a5094760></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 7d995e9ecf7..14a549a25ab 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1546,7 +1546,7 @@ 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=0x7f5b970e0c90 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7f71a5014a90 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>
@@ -1559,7 +1559,7 @@ 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
0x7f5b97179480></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7f71a3b75480></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
@@ -1758,7 +1758,7 @@ 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=0x7f5c32c22000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7f723f53d000 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>
@@ -1780,7 +1780,7 @@ file interfaces that can read and write to Arrow
Buffers.</p>
<span class="gp">In [37]: </span><span class="n">buf</span> <span
class="o">=</span> <span class="n">writer</span><span class="o">.</span><span
class="n">getvalue</span><span class="p">()</span>
<span class="gp">In [38]: </span><span class="n">buf</span>
-<span class="gh">Out[38]: </span><span class="go"><pyarrow.Buffer
address=0x20000020b00 size=14 is_cpu=True is_mutable=True></span>
+<span class="gh">Out[38]: </span><span class="go"><pyarrow.Buffer
address=0x20000020880 size=14 is_cpu=True is_mutable=True></span>
<span class="gp">In [39]: </span><span class="n">buf</span><span
class="o">.</span><span class="n">size</span>
<span class="gh">Out[39]: </span><span class="go">14</span>
diff --git a/docs/dev/python/pandas.html b/docs/dev/python/pandas.html
index bb8f726ab97..1855afe7ed6 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1720,7 +1720,7 @@ 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
0x7f5c15f6c880></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f7222754ca0></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1729,7 +1729,7 @@ 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 0x7f5c15f6c6a0></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7f72227546a0></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1855,7 +1855,7 @@ 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
0x7f5c15f6e980></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7f7222756b60></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 b89f87f2bbd..c5f211e40dc 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1691,7 +1691,7 @@ 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
0x7f5b948ffd30></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f71a6744d60></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>
@@ -1701,7 +1701,7 @@ 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
0x7f5b988a7300></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7f7222613f40></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>
@@ -1759,7 +1759,7 @@ 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
0x7f5bcc256020></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f7222644810></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>
@@ -1773,7 +1773,7 @@ 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
0x7f5c15f73c90></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7f7222645300></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 282</span>
@@ -1781,7 +1781,7 @@ 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
0x7f5c15e46250></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7f72226456c0></span>
<span class="go"> file_offset: 0</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1789,7 +1789,7 @@ 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
0x7f5b948d28e0></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7f71d4e23100></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 d256f06a0b0..3e8cc89dd45 100644
--- a/docs/dev/r/articles/data_wrangling.html
+++ b/docs/dev/r/articles/data_wrangling.html
@@ -409,18 +409,18 @@ paying a performance penalty using the helper function
<span> <span class="co"># perform other arrow operations...</span></span>
<span> <span class="fu"><a
href="https://dplyr.tidyverse.org/reference/compute.html";
class="external-link">collect</a></span><span class="op">(</span><span
class="op">)</span></span></code></pre></div>
<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble:
28 x 4</span></span></span>
-<span><span class="co">## name height mass
hair_color</span></span>
-<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> Yoda
66 17 white </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> Watto
137 <span style="color: #BB0000;">NA</span> black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> Shmi
Skywalker 163 <span style="color: #BB0000;">NA</span> black
</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> Eeth Koth
171 <span style="color: #BB0000;">NA</span> black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> Luminara
Unduli 170 56.2 black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> Barriss
Offee 166 50 black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> R4-P17
96 <span style="color: #BB0000;">NA</span> none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> Lobot
175 79 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> Ackbar
180 83 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> Nien Nunb
160 68 none </span></span>
+<span><span class="co">## name height mass hair_color</span></span>
+<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> R4-P17
96 <span style="color: #BB0000;">NA</span> none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> Lobot
175 79 none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> Ackbar
180 83 none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> Nien Nunb
160 68 none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> Sebulba
112 40 none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> Bib Fortuna
180 <span style="color: #BB0000;">NA</span> none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> Ayla Secura
178 55 none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> Ratts Tyerel
79 15 none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> Dud Bolt
94 45 none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> Gasgano
122 <span style="color: #BB0000;">NA</span> none </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 55075b03ab3..4cd503d51fa 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: 2025-07-26T01:19Z
+last_built: 2025-07-27T01:24Z
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_arrow.html
b/docs/dev/r/reference/to_arrow.html
index 1336915d943..8a162de7f42 100644
--- a/docs/dev/r/reference/to_arrow.html
+++ b/docs/dev/r/reference/to_arrow.html
@@ -121,9 +121,9 @@ result to materialize the entire Table in-memory.</p>
<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#949494;"># A tibble: 3 x 2</span></span>
<span class="r-out co"><span class="r-pr">#></span> cyl mean_mpg</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>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">1</span> 6 19.7</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">2</span> 8 15.1</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">3</span> 4 23.7</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">1</span> 4 23.7</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">2</span> 6 19.7</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">3</span> 8 15.1</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/reference/to_duckdb.html
b/docs/dev/r/reference/to_duckdb.html
index 5a4814efb3d..88f527d7791 100644
--- a/docs/dev/r/reference/to_duckdb.html
+++ b/docs/dev/r/reference/to_duckdb.html
@@ -148,8 +148,8 @@ using them.</p>
<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;">4</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;">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 600b55b1979..150a1ad11dc 100644
--- a/docs/dev/r/search.json
+++ b/docs/dev/r/search.json
@@ -1 +1 @@
-[{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":null,"dir":"","previous_headings":"","what":"Packaging
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 [...]
+[{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":null,"dir":"","previous_headings":"","what":"Packaging
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 [...]
diff --git a/docs/dev/searchindex.js b/docs/dev/searchindex.js
index dceb3b5f59e..c4eb2ec1a69 100644
--- a/docs/dev/searchindex.js
+++ b/docs/dev/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["c_glib/arrow-cuda-glib/index",
"c_glib/arrow-dataset-glib/index", "c_glib/arrow-flight-glib/index",
"c_glib/arrow-flight-sql-glib/index", "c_glib/arrow-glib/index",
"c_glib/gandiva-glib/index", "c_glib/index", "c_glib/parquet-glib/index",
"cpp/acero", "cpp/acero/overview", "cpp/acero/substrait",
"cpp/acero/user_guide", "cpp/api", "cpp/api/acero", "cpp/api/array",
"cpp/api/async", "cpp/api/builder", "cpp/api/c_abi", "cpp/api/compute",
"cpp/api/cuda", "cpp/ap [...]
\ No newline at end of file
+Search.setIndex({"docnames": ["c_glib/arrow-cuda-glib/index",
"c_glib/arrow-dataset-glib/index", "c_glib/arrow-flight-glib/index",
"c_glib/arrow-flight-sql-glib/index", "c_glib/arrow-glib/index",
"c_glib/gandiva-glib/index", "c_glib/index", "c_glib/parquet-glib/index",
"cpp/acero", "cpp/acero/overview", "cpp/acero/substrait",
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\ No newline at end of file
