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new b746bbbc19b Updating dev docs (build nightly-tests-2025-03-10-0)
b746bbbc19b is described below
commit b746bbbc19b4fb71efef32ecc5749b6b47a5d836
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Tue Mar 11 00:30:45 2025 +0000
Updating dev docs (build nightly-tests-2025-03-10-0)
---
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 | 24 +++---
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, 124 insertions(+), 124 deletions(-)
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
index 7b673d9fb8e..fa9c5b2b318 100644
--- a/docs/dev/python/data.html
+++ b/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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class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
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<span class="go"> a b</span>
-<span class="go">0 0 -1.220445</span>
-<span class="go">1 1 -0.163700</span>
-<span class="go">2 2 -1.840800</span>
-<span class="go">3 3 -1.102958</span>
-<span class="go">4 4 -0.408916</span>
-<span class="go">5 5 -0.886994</span>
-<span class="go">6 6 0.869495</span>
-<span class="go">7 7 0.025643</span>
-<span class="go">8 8 0.187720</span>
-<span class="go">9 9 0.216069</span>
+<span class="go">0 0 1.294593</span>
+<span class="go">1 1 0.996525</span>
+<span class="go">2 2 -0.228795</span>
+<span class="go">3 3 0.335818</span>
+<span class="go">4 4 0.167992</span>
+<span class="go">5 5 0.052535</span>
+<span class="go">6 6 -0.327925</span>
+<span class="go">7 7 -0.091320</span>
+<span class="go">8 8 0.184270</span>
+<span class="go">9 9 0.723801</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
@@ -1792,18 +1792,18 @@ 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 0.025643 2</span>
-<span class="go">1 8 0.187720 1</span>
-<span class="go">2 9 0.216069 2</span>
+<span class="go">0 7 -0.091320 2</span>
+<span class="go">1 8 0.184270 1</span>
+<span class="go">2 9 0.723801 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 -0.163700 2</span>
-<span class="go">1 3 -1.102958 2</span>
-<span class="go">2 5 -0.886994 2</span>
-<span class="go">3 7 0.025643 2</span>
-<span class="go">4 9 0.216069 2</span>
+<span class="go">0 1 0.996525 2</span>
+<span class="go">1 3 0.335818 2</span>
+<span class="go">2 5 0.052535 2</span>
+<span class="go">3 7 -0.091320 2</span>
+<span class="go">4 9 0.723801 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
@@ -1848,11 +1848,11 @@ 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 -1.220445 True</span>
-<span class="go">1 1 -0.163700 False</span>
-<span class="go">2 2 -1.840800 True</span>
-<span class="go">3 3 -1.102958 False</span>
-<span class="go">4 4 -0.408916 True</span>
+<span class="go">0 0 1.294593 True</span>
+<span class="go">1 1 0.996525 False</span>
+<span class="go">2 2 -0.228795 True</span>
+<span class="go">3 3 0.335818 False</span>
+<span class="go">4 4 0.167992 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1866,11 +1866,11 @@ 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 -1.220445 1 False</span>
-<span class="go">1 1 -0.163700 2 False</span>
-<span class="go">2 2 -1.840800 1 False</span>
-<span class="go">3 3 -1.102958 2 False</span>
-<span class="go">4 4 -0.408916 1 False</span>
+<span class="go">0 0 1.294593 1 True</span>
+<span class="go">1 1 0.996525 2 False</span>
+<span class="go">2 2 -0.228795 1 False</span>
+<span class="go">3 3 0.335818 2 False</span>
+<span class="go">4 4 0.167992 1 False</span>
</pre></div>
</div>
</section>
@@ -1923,8 +1923,8 @@ 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/953c47887be041f48471b28099660378-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/953c47887be041f48471b28099660378-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/7f74360ca81b433fa2d3e56405632c94-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/7f74360ca81b433fa2d3e56405632c94-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1932,9 +1932,9 @@ 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 -0.547556 1 a</span>
-<span class="go">1 1 0.095284 2 a</span>
-<span class="go">2 2 0.741547 1 a</span>
+<span class="go">0 0 0.147293 1 a</span>
+<span class="go">1 1 0.570524 2 a</span>
+<span class="go">2 2 -3.381845 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1942,11 +1942,11 @@ 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 0.745774 2 b</span>
-<span class="go">1 6 -0.165166 1 b</span>
-<span class="go">2 7 -1.369978 2 b</span>
-<span class="go">3 8 -0.237678 1 b</span>
-<span class="go">4 9 -1.881694 2 b</span>
+<span class="go">0 5 -1.099567 2 b</span>
+<span class="go">1 6 -1.069342 1 b</span>
+<span class="go">2 7 -0.621743 2 b</span>
+<span class="go">3 8 1.895004 1 b</span>
+<span class="go">4 9 0.461521 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -2078,19 +2078,19 @@ 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 -0.292351</span>
-<span class="go">1 2018 1 -1.064753</span>
-<span class="go">2 2018 2 0.727342</span>
-<span class="go">3 2019 0 -0.292351</span>
-<span class="go">4 2019 1 -1.064753</span>
-<span class="go">5 2019 2 0.727342</span>
+<span class="go">0 2018 0 0.997828</span>
+<span class="go">1 2018 1 -0.286737</span>
+<span class="go">2 2018 2 -1.344878</span>
+<span class="go">3 2019 0 0.997828</span>
+<span class="go">4 2019 1 -0.286737</span>
+<span class="go">5 2019 2 -1.344878</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 -0.292351</span>
-<span class="go">1 2019 1 -1.064753</span>
-<span class="go">2 2019 2 0.727342</span>
+<span class="go">0 2019 0 0.997828</span>
+<span class="go">1 2019 1 -0.286737</span>
+<span class="go">2 2019 2 -1.344878</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2342,7 +2342,7 @@ 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
0x7fea626be160></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7fc6dcd03010></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>
@@ -2351,7 +2351,7 @@ 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
0x7fea6272c270></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7fc6de0abc40></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 90cb93e5837..a63549cfd56 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1693,7 +1693,7 @@ 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
0x7fea32c33460></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7fc6b368a6e0></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 542e0004b09..c50c295ffc9 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1642,7 +1642,7 @@ 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=0x7fea342d90d0 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7fc6b49bb750 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>
@@ -1655,7 +1655,7 @@ 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
0x7fea315a8dc0></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7fc6b30f0dc0></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
@@ -1854,7 +1854,7 @@ 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=0x7feac8e22000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7fc744841000 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 0b03031b4e0..f8ed1d33eda 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1816,7 +1816,7 @@ 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
0x7fea314b75e0></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7fc6b2ff38e0></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1825,7 +1825,7 @@ 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 0x7fea314b7460></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7fc6b2f93100></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1951,7 +1951,7 @@ 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
0x7fea314e5e40></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7fc72a325a80></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 f1477c28dba..d67d6595169 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1787,7 +1787,7 @@ 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
0x7fea32a36e80></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7fc72a334220></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>
@@ -1797,7 +1797,7 @@ 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
0x7fea32a18640></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7fc6b8ec9240></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>
@@ -1855,7 +1855,7 @@ 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
0x7feaae750360></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7fc6ddf54c70></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>
@@ -1869,7 +1869,7 @@ 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
0x7feaae750ef0></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7fc72a39c2c0></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 282</span>
@@ -1877,7 +1877,7 @@ 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
0x7feaae751170></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7fc72a39c6d0></span>
<span class="go"> file_offset: 0</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1885,7 +1885,7 @@ 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
0x7feaae751210></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7fc72a39c770></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 318848fae1d..653faf4fb2b 100644
--- a/docs/dev/r/articles/data_wrangling.html
+++ b/docs/dev/r/articles/data_wrangling.html
@@ -413,18 +413,18 @@ 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> <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;"> 2</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>Eeth Koth<span style="color: #949494;">"</span>
171 <span style="color: #BB0000;">NA</span> black
</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> <span
style="color: #949494;">"</span>Luminara Unduli<span style="color:
#949494;">"</span> 170 56.2 black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> <span
style="color: #949494;">"</span>Barriss Offee<span style="color:
#949494;">"</span> 166 50 black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</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;"> 7</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;"> 8</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;"> 9</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;">10</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">## 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> Darth Maul
175 80 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 98d6e4b3889..54fa1ae087a 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: 2025-03-09T01:05Z
+last_built: 2025-03-10T01:07Z
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 369c8c7b151..2239850fec1 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> 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;">3</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;">4</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;">5</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;">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 9933bff714e..96515238649 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 release process see Apache Arrow Release
Management
Guide.","code":""},{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":"before-the-release-candidate-is-cut","dir":"","previous_headings":"","what":"Before
the release candidate is cut","title":"Packaging chec [...]
+[{"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 release process see Apache Arrow Release
Management
Guide.","code":""},{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":"before-the-release-candidate-is-cut","dir":"","previous_headings":"","what":"Before
the release candidate is cut","title":"Packaging chec [...]
diff --git a/docs/dev/searchindex.js b/docs/dev/searchindex.js
index 23b7668b718..845b09df6da 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/async", "cpp/acero/developer_guide", "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/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/async", "cpp/acero/developer_guide", "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/ap
[...]
\ No newline at end of file
