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new 62f8a35b6a4 Updating dev docs (build nightly-tests-2025-04-20-0)
62f8a35b6a4 is described below
commit 62f8a35b6a41a1da5210cb782595a5848210ab37
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Mon Apr 21 00:34:22 2025 +0000
Updating dev docs (build nightly-tests-2025-04-20-0)
---
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 | 20 ++---
docs/dev/r/pkgdown.yml | 2 +-
docs/dev/r/reference/to_arrow.html | 6 +-
docs/dev/r/reference/to_duckdb.html | 10 +--
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 70b25343bbd..ac466c8ad7d 100644
--- a/docs/dev/python/data.html
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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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</pre></div>
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</section>
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<span class="gh">Out[23]: </span>
<span class="go"> a b</span>
-<span class="go">0 0 -1.844710</span>
-<span class="go">1 1 1.256503</span>
-<span class="go">2 2 -2.183857</span>
-<span class="go">3 3 3.415838</span>
-<span class="go">4 4 -0.656076</span>
-<span class="go">5 5 -1.233675</span>
-<span class="go">6 6 -0.098550</span>
-<span class="go">7 7 0.759291</span>
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-<span class="go">9 9 0.367604</span>
+<span class="go">0 0 -1.543795</span>
+<span class="go">1 1 0.514517</span>
+<span class="go">2 2 -0.332843</span>
+<span class="go">3 3 0.642205</span>
+<span class="go">4 4 -1.033141</span>
+<span class="go">5 5 0.168049</span>
+<span class="go">6 6 -0.655084</span>
+<span class="go">7 7 -2.430159</span>
+<span class="go">8 8 -0.676513</span>
+<span class="go">9 9 0.513420</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
@@ -1794,18 +1794,18 @@ 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 0.759291 2</span>
-<span class="go">1 8 0.976524 1</span>
-<span class="go">2 9 0.367604 2</span>
+<span class="go">0 7 -2.430159 2</span>
+<span class="go">1 8 -0.676513 1</span>
+<span class="go">2 9 0.513420 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 1.256503 2</span>
-<span class="go">1 3 3.415838 2</span>
-<span class="go">2 5 -1.233675 2</span>
-<span class="go">3 7 0.759291 2</span>
-<span class="go">4 9 0.367604 2</span>
+<span class="go">0 1 0.514517 2</span>
+<span class="go">1 3 0.642205 2</span>
+<span class="go">2 5 0.168049 2</span>
+<span class="go">3 7 -2.430159 2</span>
+<span class="go">4 9 0.513420 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
@@ -1850,11 +1850,11 @@ 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 -1.844710 True</span>
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+<span class="go">3 3 0.642205 False</span>
+<span class="go">4 4 -1.033141 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1868,11 +1868,11 @@ 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 -1.844710 1 False</span>
-<span class="go">1 1 1.256503 2 True</span>
-<span class="go">2 2 -2.183857 1 False</span>
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+<span class="go">2 2 -0.332843 1 False</span>
+<span class="go">3 3 0.642205 2 False</span>
+<span class="go">4 4 -1.033141 1 False</span>
</pre></div>
</div>
</section>
@@ -1925,8 +1925,8 @@ 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/24127a027d1547d784180247c2c3f71f-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/24127a027d1547d784180247c2c3f71f-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/53a81da84e1f42568950f0644d2ecb0c-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/53a81da84e1f42568950f0644d2ecb0c-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1934,9 +1934,9 @@ 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 0.974640 1 a</span>
-<span class="go">1 1 -0.423529 2 a</span>
-<span class="go">2 2 -0.099599 1 a</span>
+<span class="go">0 0 -0.753247 1 a</span>
+<span class="go">1 1 -0.013134 2 a</span>
+<span class="go">2 2 -0.423775 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1944,11 +1944,11 @@ 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 -1.315254 2 b</span>
-<span class="go">1 6 -0.472554 1 b</span>
-<span class="go">2 7 -1.932082 2 b</span>
-<span class="go">3 8 0.111540 1 b</span>
-<span class="go">4 9 -0.505584 2 b</span>
+<span class="go">0 5 -1.134656 2 b</span>
+<span class="go">1 6 -1.210448 1 b</span>
+<span class="go">2 7 0.156593 2 b</span>
+<span class="go">3 8 1.369705 1 b</span>
+<span class="go">4 9 0.002627 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -2080,19 +2080,19 @@ 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 -0.816931</span>
-<span class="go">1 2018 1 1.870181</span>
-<span class="go">2 2018 2 -0.453198</span>
-<span class="go">3 2019 0 -0.816931</span>
-<span class="go">4 2019 1 1.870181</span>
-<span class="go">5 2019 2 -0.453198</span>
+<span class="go">0 2018 0 0.518176</span>
+<span class="go">1 2018 1 -0.624229</span>
+<span class="go">2 2018 2 -0.182922</span>
+<span class="go">3 2019 0 0.518176</span>
+<span class="go">4 2019 1 -0.624229</span>
+<span class="go">5 2019 2 -0.182922</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 -0.816931</span>
-<span class="go">1 2019 1 1.870181</span>
-<span class="go">2 2019 2 -0.453198</span>
+<span class="go">0 2019 0 0.518176</span>
+<span class="go">1 2019 1 -0.624229</span>
+<span class="go">2 2019 2 -0.182922</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2344,7 +2344,7 @@ 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
0x7f56598c6e30></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f908681a890></span>
<span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 2</span>
<span class="go"> num_rows: 5</span>
@@ -2353,7 +2353,7 @@ 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
0x7f56598c6e30></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f908681a890></span>
<span class="go"> created_by: parquet-cpp-arrow version 20.0.0-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 aeabf13fb4c..502652a4781 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1695,7 +1695,7 @@ 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
0x7f56294aa680></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f905b9a2500></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 c4132c63848..41d2a377dd8 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1644,7 +1644,7 @@ 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=0x7f5623c74990 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7f905907d6d0 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>
@@ -1657,7 +1657,7 @@ 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
0x7f562949ef80></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7f905b972f80></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
@@ -1856,7 +1856,7 @@ 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=0x7f56bfb31000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7f90eceb2000 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 a14779339a2..32724fb078a 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1818,7 +1818,7 @@ 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
0x7f56a5143640></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f90590389a0></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1827,7 +1827,7 @@ 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 0x7f56a5143100></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7f90868bb100></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1953,7 +1953,7 @@ 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
0x7f56a51f1b40></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7f90d27f9ae0></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 81a2cd95842..9b7c75e4f13 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1789,7 +1789,7 @@ 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
0x7f56a50a0db0></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f90d26b42c0></span>
<span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1799,7 +1799,7 @@ 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
0x7f56a509d780></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7f90d26a6240></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>
@@ -1857,7 +1857,7 @@ 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
0x7f56a50a2200></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f905eeaa1b0></span>
<span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1871,7 +1871,7 @@ 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
0x7f5659426070></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7f90d26b6200></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 282</span>
@@ -1879,7 +1879,7 @@ 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
0x7f56a50a2fc0></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7f90d26b63e0></span>
<span class="go"> file_offset: 0</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1887,7 +1887,7 @@ 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
0x7f565948da30></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7f90d26b6480></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 5b15de1799f..662736cb129 100644
--- a/docs/dev/r/articles/data_wrangling.html
+++ b/docs/dev/r/articles/data_wrangling.html
@@ -415,16 +415,16 @@ paying a performance penalty using the helper function
<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> Luke
Skywalker 172 77 blond </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> Finis
Valorum 170 <span style="color: #BB0000;">NA</span> blond
</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> R4-P17
96 <span style="color: #BB0000;">NA</span> none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> Lobot
175 79 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> Ackbar
180 83 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> Nien Nunb
160 68 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> Darth Maul
175 80 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> Bib Fortuna
180 <span style="color: #BB0000;">NA</span> none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> Ayla Secura
178 55 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> Ratts Tyerel
79 15 none </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> Luke
Skywalker 172 77 blond </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> Finis
Valorum 170 <span style="color: #BB0000;">NA</span> blond
</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> R4-P17
96 <span style="color: #BB0000;">NA</span> none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> Lobot
175 79 none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> Ackbar
180 83 none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> Nien Nunb
160 68 none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> Darth Maul
175 80 none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> Bib Fortuna
180 <span style="color: #BB0000;">NA</span> none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> Ayla Secura
178 55 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 06701ce3c60..c8fb9e973ab 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: 2025-04-19T01:11Z
+last_built: 2025-04-20T01:23Z
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 e6d8e37841e..5f0a74b5acb 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 c1fc1c6b099..cc8f7a34644 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> 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>
+<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>
</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 a20fbea0d0c..e3f37c2a981 100644
--- a/docs/dev/r/search.json
+++ b/docs/dev/r/search.json
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Release Management
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the Arrow Release Candidate Is Create [...]
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Checklist for CRAN Release","title":"Packaging Checklist for CRAN
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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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index 3c6637a3bb1..379e44ddd2b 100644
--- a/docs/dev/searchindex.js
+++ b/docs/dev/searchindex.js
@@ -1 +1 @@
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