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new 60445957d9e Updating dev docs (build nightly-tests-2024-06-16-0)
60445957d9e is described below
commit 60445957d9e8857756a34171746231a546bca13f
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Mon Jun 17 00:25:52 2024 +0000
Updating dev docs (build nightly-tests-2024-06-16-0)
---
docs/dev/python/data.html | 46 +++++------
docs/dev/python/dataset.html | 136 ++++++++++++++++----------------
docs/dev/python/getstarted.html | 2 +-
docs/dev/python/memory.html | 8 +-
docs/dev/python/pandas.html | 6 +-
docs/dev/python/parquet.html | 12 +--
docs/dev/r/articles/data_wrangling.html | 6 +-
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, 116 insertions(+), 116 deletions(-)
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
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--- a/docs/dev/python/data.html
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<span class="go"> a b</span>
-<span class="go">0 0 0.808486</span>
-<span class="go">1 1 0.439402</span>
-<span class="go">2 2 -1.232622</span>
-<span class="go">3 3 0.525124</span>
-<span class="go">4 4 -1.854281</span>
-<span class="go">5 5 0.552315</span>
-<span class="go">6 6 -0.888220</span>
-<span class="go">7 7 1.215900</span>
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-<span class="go">9 9 -1.039892</span>
+<span class="go">0 0 -0.313212</span>
+<span class="go">1 1 0.138047</span>
+<span class="go">2 2 1.296972</span>
+<span class="go">3 3 0.506011</span>
+<span class="go">4 4 0.733859</span>
+<span class="go">5 5 -0.375090</span>
+<span class="go">6 6 0.108828</span>
+<span class="go">7 7 1.252667</span>
+<span class="go">8 8 0.281903</span>
+<span class="go">9 9 1.619139</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
@@ -1708,18 +1708,18 @@ 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 1.215900 2</span>
-<span class="go">1 8 -0.578977 1</span>
-<span class="go">2 9 -1.039892 2</span>
+<span class="go">0 7 1.252667 2</span>
+<span class="go">1 8 0.281903 1</span>
+<span class="go">2 9 1.619139 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 0.439402 2</span>
-<span class="go">1 3 0.525124 2</span>
-<span class="go">2 5 0.552315 2</span>
-<span class="go">3 7 1.215900 2</span>
-<span class="go">4 9 -1.039892 2</span>
+<span class="go">0 1 0.138047 2</span>
+<span class="go">1 3 0.506011 2</span>
+<span class="go">2 5 -0.375090 2</span>
+<span class="go">3 7 1.252667 2</span>
+<span class="go">4 9 1.619139 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
@@ -1764,11 +1764,11 @@ 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 0.808486 True</span>
-<span class="go">1 1 0.439402 False</span>
-<span class="go">2 2 -1.232622 True</span>
-<span class="go">3 3 0.525124 False</span>
-<span class="go">4 4 -1.854281 True</span>
+<span class="go">0 0 -0.313212 True</span>
+<span class="go">1 1 0.138047 False</span>
+<span class="go">2 2 1.296972 True</span>
+<span class="go">3 3 0.506011 False</span>
+<span class="go">4 4 0.733859 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1782,11 +1782,11 @@ 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 0.808486 1 False</span>
-<span class="go">1 1 0.439402 2 False</span>
-<span class="go">2 2 -1.232622 1 False</span>
-<span class="go">3 3 0.525124 2 False</span>
-<span class="go">4 4 -1.854281 1 False</span>
+<span class="go">0 0 -0.313212 1 False</span>
+<span class="go">1 1 0.138047 2 False</span>
+<span class="go">2 2 1.296972 1 True</span>
+<span class="go">3 3 0.506011 2 False</span>
+<span class="go">4 4 0.733859 1 False</span>
</pre></div>
</div>
</section>
@@ -1839,8 +1839,8 @@ 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/f7c8b2fae88348609ebe811592835a6a-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/f7c8b2fae88348609ebe811592835a6a-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/c323ee60f5a94f238888b3ef7a2ce40a-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/c323ee60f5a94f238888b3ef7a2ce40a-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1848,9 +1848,9 @@ 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 0.528381 1 a</span>
-<span class="go">1 1 0.431107 2 a</span>
-<span class="go">2 2 0.289857 1 a</span>
+<span class="go">0 0 2.338314 1 a</span>
+<span class="go">1 1 0.250076 2 a</span>
+<span class="go">2 2 0.083337 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1858,11 +1858,11 @@ 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 0.594404 2 b</span>
-<span class="go">1 6 -0.593087 1 b</span>
-<span class="go">2 7 -0.821627 2 b</span>
-<span class="go">3 8 2.863075 1 b</span>
-<span class="go">4 9 -0.981706 2 b</span>
+<span class="go">0 5 1.169751 2 b</span>
+<span class="go">1 6 0.742156 1 b</span>
+<span class="go">2 7 0.134831 2 b</span>
+<span class="go">3 8 -0.948744 1 b</span>
+<span class="go">4 9 -0.146693 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -1994,19 +1994,19 @@ 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 1.475221</span>
-<span class="go">1 2018 1 -1.311736</span>
-<span class="go">2 2018 2 -1.526311</span>
-<span class="go">3 2019 0 1.475221</span>
-<span class="go">4 2019 1 -1.311736</span>
-<span class="go">5 2019 2 -1.526311</span>
+<span class="go">0 2018 0 0.138287</span>
+<span class="go">1 2018 1 -0.529131</span>
+<span class="go">2 2018 2 -0.759628</span>
+<span class="go">3 2019 0 0.138287</span>
+<span class="go">4 2019 1 -0.529131</span>
+<span class="go">5 2019 2 -0.759628</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 1.475221</span>
-<span class="go">1 2019 1 -1.311736</span>
-<span class="go">2 2019 2 -1.526311</span>
+<span class="go">0 2019 0 0.138287</span>
+<span class="go">1 2019 1 -0.529131</span>
+<span class="go">2 2019 2 -0.759628</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2258,7 +2258,7 @@ 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=988 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7fb1ead98130></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f1c52242e80></span>
<span class="go"> created_by: parquet-cpp-arrow version 17.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 2</span>
<span class="go"> num_rows: 5</span>
@@ -2267,7 +2267,7 @@ 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=990 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7fb1ead15df0></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f1c5233d9e0></span>
<span class="go"> created_by: parquet-cpp-arrow version 17.0.0-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 dea120f3d8a..96c11c403c1 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1609,7 +1609,7 @@ 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
0x7fb1b0735fc0></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f1c16046140></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 7fa321587d9..68e3dc72e96 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1558,7 +1558,7 @@ 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=0x7fb1adb88e90 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7f1c1449fd50 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>
@@ -1571,7 +1571,7 @@ 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
0x7fb1adde1480></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7f1c14ff5480></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
@@ -1770,7 +1770,7 @@ 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=0x7fb24bb9f000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7f1cb14e0000 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>
@@ -1792,7 +1792,7 @@ file interfaces that can read and write to Arrow
Buffers.</p>
<span class="gp">In [37]: </span><span class="n">buf</span> <span
class="o">=</span> <span class="n">writer</span><span class="o">.</span><span
class="n">getvalue</span><span class="p">()</span>
<span class="gp">In [38]: </span><span class="n">buf</span>
-<span class="gh">Out[38]: </span><span class="go"><pyarrow.Buffer
address=0x7fb242413000 size=14 is_cpu=True is_mutable=True></span>
+<span class="gh">Out[38]: </span><span class="go"><pyarrow.Buffer
address=0x7f1ca7e13000 size=14 is_cpu=True is_mutable=True></span>
<span class="gp">In [39]: </span><span class="n">buf</span><span
class="o">.</span><span class="n">size</span>
<span class="gh">Out[39]: </span><span class="go">14</span>
diff --git a/docs/dev/python/pandas.html b/docs/dev/python/pandas.html
index cd9a5ab4717..a97140a6fea 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1732,7 +1732,7 @@ 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
0x7fb1adb859c0></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f1c144a1840></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1741,7 +1741,7 @@ 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 0x7fb1ac2ec4c0></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7f1c9f504580></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1867,7 +1867,7 @@ 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
0x7fb1ac2edde0></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7f1c9f506da0></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 ac6374e7a36..b34969383ad 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1703,7 +1703,7 @@ 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
0x7fb239bc0400></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f1c5222f420></span>
<span class="go"> created_by: parquet-cpp-arrow version 17.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1713,7 +1713,7 @@ 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
0x7fb1adb89000></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7f1c14465540></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>
@@ -1771,7 +1771,7 @@ 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
0x7fb239bc1da0></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f1c9f534c70></span>
<span class="go"> created_by: parquet-cpp-arrow version 17.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1785,7 +1785,7 @@ 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
0x7fb239bc2610></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7f1c9f5cefc0></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 282</span>
@@ -1793,7 +1793,7 @@ 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
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<span class="gh">Out[32]: </span>
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diff --git a/docs/dev/r/articles/data_wrangling.html
b/docs/dev/r/articles/data_wrangling.html
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+++ b/docs/dev/r/articles/data_wrangling.html
@@ -434,9 +434,9 @@ paying a performance penalty using the helper function
<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> Eeth Koth
171 <span style="color: #BB0000;">NA</span> black </span></span>
<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> Luminara
Unduli 170 56.2 black </span></span>
<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> Barriss
Offee 166 50 black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> Leia Organa
150 49 brown </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> Beru
Whitesun Lars 165 75 brown </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> Wedge
Antilles 170 77 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> Yoda
66 17 white </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> Leia Organa
150 49 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> Beru
Whitesun Lars 165 75 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 d4c0d848ac3..88099223bcb 100644
--- a/docs/dev/r/pkgdown.yml
+++ b/docs/dev/r/pkgdown.yml
@@ -21,7 +21,7 @@ articles:
read_write: read_write.html
setup: developers/setup.html
workflow: developers/workflow.html
-last_built: 2024-06-15T01:06Z
+last_built: 2024-06-16T01:03Z
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
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--- a/docs/dev/r/reference/to_duckdb.html
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@@ -159,11 +159,11 @@ 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> 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;">2</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:
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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>
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#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> 19.7 6 145 175 3.62 2.77 15.5 0 1 5
6</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">5</span> 27.3 4 79 66 4.08 1.94 18.9 1 1 4
1</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
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