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The following commit(s) were added to refs/heads/asf-site by this push:
new a160d3ea2dc Updating dev docs (build nightly-tests-2024-12-22-0)
a160d3ea2dc is described below
commit a160d3ea2dce686d8c4a525ec3def9f693da0b54
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Mon Dec 23 00:30:27 2024 +0000
Updating dev docs (build nightly-tests-2024-12-22-0)
---
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_duckdb.html | 10 +--
docs/dev/r/search.json | 2 +-
docs/dev/searchindex.js | 2 +-
11 files changed, 122 insertions(+), 122 deletions(-)
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
index 09d28177fbc..e8beb1d24a5 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>
</div>
</section>
@@ -1669,11 +1669,11 @@ supported; more formats are planned in the future.</p>
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</pre></div>
</div>
</section>
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class="s1">'a'</span><span class="p">,</span> <span
class="s1">'b'</span><span class="p">])</span><span
class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
<span class="gh">Out[23]: </span>
<span class="go"> a b</span>
-<span class="go">0 0 -0.146512</span>
-<span class="go">1 1 -0.728878</span>
-<span class="go">2 2 -0.903127</span>
-<span class="go">3 3 0.837486</span>
-<span class="go">4 4 2.613419</span>
-<span class="go">5 5 1.710517</span>
-<span class="go">6 6 -0.437695</span>
-<span class="go">7 7 -0.491644</span>
-<span class="go">8 8 0.159417</span>
-<span class="go">9 9 -0.524722</span>
+<span class="go">0 0 0.254265</span>
+<span class="go">1 1 -1.613299</span>
+<span class="go">2 2 0.496836</span>
+<span class="go">3 3 -0.561738</span>
+<span class="go">4 4 -1.296151</span>
+<span class="go">5 5 0.721159</span>
+<span class="go">6 6 0.822587</span>
+<span class="go">7 7 0.984030</span>
+<span class="go">8 8 -1.088901</span>
+<span class="go">9 9 -0.037056</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
@@ -1723,18 +1723,18 @@ 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 -0.491644 2</span>
-<span class="go">1 8 0.159417 1</span>
-<span class="go">2 9 -0.524722 2</span>
+<span class="go">0 7 0.984030 2</span>
+<span class="go">1 8 -1.088901 1</span>
+<span class="go">2 9 -0.037056 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 -0.728878 2</span>
-<span class="go">1 3 0.837486 2</span>
-<span class="go">2 5 1.710517 2</span>
-<span class="go">3 7 -0.491644 2</span>
-<span class="go">4 9 -0.524722 2</span>
+<span class="go">0 1 -1.613299 2</span>
+<span class="go">1 3 -0.561738 2</span>
+<span class="go">2 5 0.721159 2</span>
+<span class="go">3 7 0.984030 2</span>
+<span class="go">4 9 -0.037056 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
@@ -1779,11 +1779,11 @@ 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 -0.146512 True</span>
-<span class="go">1 1 -0.728878 False</span>
-<span class="go">2 2 -0.903127 True</span>
-<span class="go">3 3 0.837486 False</span>
-<span class="go">4 4 2.613419 True</span>
+<span class="go">0 0 0.254265 True</span>
+<span class="go">1 1 -1.613299 False</span>
+<span class="go">2 2 0.496836 True</span>
+<span class="go">3 3 -0.561738 False</span>
+<span class="go">4 4 -1.296151 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1797,11 +1797,11 @@ build up the dictionary from the dataset schema:</p>
<span class="gp">In [33]: </span><span class="n">dataset</span><span
class="o">.</span><span class="n">to_table</span><span class="p">(</span><span
class="n">columns</span><span class="o">=</span><span
class="n">projection</span><span class="p">)</span><span
class="o">.</span><span class="n">to_pandas</span><span
class="p">()</span><span class="o">.</span><span class="n">head</span><span
class="p">()</span>
<span class="gh">Out[33]: </span>
<span class="go"> a b c b_large</span>
-<span class="go">0 0 -0.146512 1 False</span>
-<span class="go">1 1 -0.728878 2 False</span>
-<span class="go">2 2 -0.903127 1 False</span>
-<span class="go">3 3 0.837486 2 False</span>
-<span class="go">4 4 2.613419 1 True</span>
+<span class="go">0 0 0.254265 1 False</span>
+<span class="go">1 1 -1.613299 2 False</span>
+<span class="go">2 2 0.496836 1 False</span>
+<span class="go">3 3 -0.561738 2 False</span>
+<span class="go">4 4 -1.296151 1 False</span>
</pre></div>
</div>
</section>
@@ -1854,8 +1854,8 @@ 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/66d9abeef8f649eabbd7be6db383fcb6-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/66d9abeef8f649eabbd7be6db383fcb6-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/5029a99f94b049748cc5e2026b130b44-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/5029a99f94b049748cc5e2026b130b44-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1863,9 +1863,9 @@ 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 1.884472 1 a</span>
-<span class="go">1 1 0.760935 2 a</span>
-<span class="go">2 2 0.538783 1 a</span>
+<span class="go">0 0 -0.648581 1 a</span>
+<span class="go">1 1 0.066551 2 a</span>
+<span class="go">2 2 -0.701753 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1873,11 +1873,11 @@ 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 1.085728 2 b</span>
-<span class="go">1 6 1.119939 1 b</span>
-<span class="go">2 7 0.903127 2 b</span>
-<span class="go">3 8 0.170056 1 b</span>
-<span class="go">4 9 0.681048 2 b</span>
+<span class="go">0 5 -0.455164 2 b</span>
+<span class="go">1 6 1.233326 1 b</span>
+<span class="go">2 7 0.639328 2 b</span>
+<span class="go">3 8 -0.660089 1 b</span>
+<span class="go">4 9 -0.015968 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -2009,19 +2009,19 @@ 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 0.330889</span>
-<span class="go">1 2018 1 1.402174</span>
-<span class="go">2 2018 2 -0.876324</span>
-<span class="go">3 2019 0 0.330889</span>
-<span class="go">4 2019 1 1.402174</span>
-<span class="go">5 2019 2 -0.876324</span>
+<span class="go">0 2018 0 -1.312109</span>
+<span class="go">1 2018 1 0.712711</span>
+<span class="go">2 2018 2 0.741404</span>
+<span class="go">3 2019 0 -1.312109</span>
+<span class="go">4 2019 1 0.712711</span>
+<span class="go">5 2019 2 0.741404</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 0.330889</span>
-<span class="go">1 2019 1 1.402174</span>
-<span class="go">2 2019 2 -0.876324</span>
+<span class="go">0 2019 0 -1.312109</span>
+<span class="go">1 2019 1 0.712711</span>
+<span class="go">2 2019 2 0.741404</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2273,7 +2273,7 @@ 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=802 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f9809f4cc70></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f1836ea8c20></span>
<span class="go"> created_by: parquet-cpp-arrow version 19.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 2</span>
<span class="go"> num_rows: 5</span>
@@ -2282,7 +2282,7 @@ 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=804 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f980b2a0f90></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f1836ea8c20></span>
<span class="go"> created_by: parquet-cpp-arrow version 19.0.0-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 776c3afaa63..7813082e8c0 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1624,7 +1624,7 @@ 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
0x7f97dbb4ca00></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f180c934820></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 0efc321cb48..016046aed9c 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1573,7 +1573,7 @@ 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=0x7f97de017d50 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7f180f3f22d0 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>
@@ -1586,7 +1586,7 @@ 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
0x7f97dbac0880></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7f180b7cc880></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
@@ -1785,7 +1785,7 @@ 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=0x7f98711f8000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7f189ceaf000 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 1c9ea2595ad..8d6659f9fb3 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1747,7 +1747,7 @@ 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
0x7f97d934da80></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f180a5a1f00></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1756,7 +1756,7 @@ 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 0x7f97d934dc60></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7f180a5a2080></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1882,7 +1882,7 @@ 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
0x7f97dbacab60></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7f180a5d0c40></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 627e3d5b651..0e0e7a1dae5 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1718,7 +1718,7 @@ 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
0x7f9856f150d0></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f180a5fa520></span>
<span class="go"> created_by: parquet-cpp-arrow version 19.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1728,7 +1728,7 @@ 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
0x7f97dbe7f840></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7f180ca93bc0></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>
@@ -1786,7 +1786,7 @@ 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
0x7f9856f16b60></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f1882721b20></span>
<span class="go"> created_by: parquet-cpp-arrow version 19.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1800,7 +1800,7 @@ 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
0x7f9856f17420></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7f1882722430></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 282</span>
@@ -1808,7 +1808,7 @@ 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
0x7f97d9374860></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7f180a5a8860></span>
<span class="go"> file_offset: 0</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1816,7 +1816,7 @@ 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
0x7f9856f176a0></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7f18827227a0></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 452da7d7989..083d7a7ecd7 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> <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;"> 2</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;"> 3</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;"> 4</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;"> 5</span> <span
style="color: #949494;">"</span>Cord\u00e9<span style="color:
#949494;">"</span> 157 <span style="color: #BB0000;">NA</span>
brown </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> <span
style="color: #949494;">"</span>Dorm\u00e9<span style="color:
#949494;">"</span> 165 <span style="color: #BB0000;">NA</span>
brown </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> <span
style="color: #949494;">"</span>R4-P17<span style="color: #949494;">"</span>
96 <span style="color: #BB0000;">NA</span> none
</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> <span
style="color: #949494;">"</span>Lobot<span style="color: #949494;">"</span>
175 79 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> <span
style="color: #949494;">"</span>Ackbar<span style="color: #949494;">"</span>
180 83 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> <span
style="color: #949494;">"</span>Nien Nunb<span style="color: #949494;">"</span>
160 68 none </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">## <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 e66d45ccea0..19cc1de9a3d 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: 2024-12-21T01:07Z
+last_built: 2024-12-22T01:08Z
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 f5bd431bc43..9d894f8d14f 100644
--- a/docs/dev/r/reference/to_duckdb.html
+++ b/docs/dev/r/reference/to_duckdb.html
@@ -145,11 +145,11 @@ using them.</p>
<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#949494;"># Groups: cyl</span></span>
<span class="r-out co"><span class="r-pr">#></span> mpg cyl disp
hp drat wt qsec vs am gear carb</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#949494; font-style: italic;"><dbl></span> <span style="color: #949494;
font-style: italic;"><dbl></span> <span style="color: #949494;
font-style: italic;"><dbl></span> <span style="color: #949494;
font-style: italic;"><dbl></span> <span style="color: #949494;
font-style: italic;"><dbl></span> <span style="color: #949494;
font-style: italic;"><dbl></span> <span style="color: # [...]
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">1</span> 16.4 8 276. 180 3.07 4.07 17.4 0 0 3
3</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">2</span> 17.3 8 276. 180 3.07 3.73 17.6 0 0 3
3</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">3</span> 15.2 8 276. 180 3.07 3.78 18 0 0 3
3</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">4</span> 27.3 4 79 66 4.08 1.94 18.9 1 1 4
1</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">5</span> 19.7 6 145 175 3.62 2.77 15.5 0 1 5
6</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">1</span> 19.7 6 145 175 3.62 2.77 15.5 0 1 5
6</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">2</span> 16.4 8 276. 180 3.07 4.07 17.4 0 0 3
3</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">3</span> 17.3 8 276. 180 3.07 3.73 17.6 0 0 3
3</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">4</span> 15.2 8 276. 180 3.07 3.78 18 0 0 3
3</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">5</span> 27.3 4 79 66 4.08 1.94 18.9 1 1 4
1</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of
contents"><h2>On this page</h2>
diff --git a/docs/dev/r/search.json b/docs/dev/r/search.json
index ed032e2d479..e72a7e460dc 100644
--- a/docs/dev/r/search.json
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@@ -1 +1 @@
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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 [...]
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Guide.","code":""},{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":"before-the-release-candidate-is-cut","dir":"","previous_headings":"","what":"Before
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index c63acac4ade..bef5b4ff4c0 100644
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