This is an automated email from the ASF dual-hosted git repository.
github-bot pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/arrow-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new f15b7b82aca Updating dev docs (build nightly-tests-2024-11-13-0)
f15b7b82aca is described below
commit f15b7b82aca9200a9ba70cc0a1ed58fcfdb9e7f9
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Thu Nov 14 00:28:56 2024 +0000
Updating dev docs (build nightly-tests-2024-11-13-0)
---
...id-8ff51316a5bfe716c8346df112ea33beaa5228f4.svg | 2 +-
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/pkgdown.yml | 2 +-
docs/dev/r/reference/to_duckdb.html | 6 +-
docs/dev/r/search.json | 2 +-
docs/dev/searchindex.js | 2 +-
11 files changed, 112 insertions(+), 112 deletions(-)
diff --git
a/docs/dev/_images/mermaid-8ff51316a5bfe716c8346df112ea33beaa5228f4.svg
b/docs/dev/_images/mermaid-8ff51316a5bfe716c8346df112ea33beaa5228f4.svg
index 933b2e9dacf..a664a15b557 100644
--- a/docs/dev/_images/mermaid-8ff51316a5bfe716c8346df112ea33beaa5228f4.svg
+++ b/docs/dev/_images/mermaid-8ff51316a5bfe716c8346df112ea33beaa5228f4.svg
@@ -1 +1 @@
-<svg aria-roledescription="flowchart-v2" role="graphics-document document"
viewBox="0 0 1645.734375 786.1171875" style="max-width: 1645.73px;
background-color: white;" class="flowchart"
xmlns:xlink="http://www.w3.org/1999/xlink"; xmlns="http://www.w3.org/2000/svg";
width="100%" id="my-svg"><style>#my-svg{font-family:"trebuchet
ms",verdana,arial,sans-serif;font-size:16px;fill:#333;}#my-svg
.error-icon{fill:#552222;}#my-svg
.error-text{fill:#552222;stroke:#552222;}#my-svg .edge-thickness-nor [...]
\ No newline at end of file
+<svg aria-roledescription="flowchart-v2" role="graphics-document document"
viewBox="0 0 1645.734375 786.1171875" style="max-width: 1645.73px;
background-color: white;" class="flowchart"
xmlns:xlink="http://www.w3.org/1999/xlink"; xmlns="http://www.w3.org/2000/svg";
width="100%" id="my-svg"><style>#my-svg{font-family:"trebuchet
ms",verdana,arial,sans-serif;font-size:16px;fill:#333;}#my-svg
.error-icon{fill:#552222;}#my-svg
.error-text{fill:#552222;stroke:#552222;}#my-svg .edge-thickness-nor [...]
\ No newline at end of file
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
index a88c3c71b2a..9383833b5b6 100644
--- a/docs/dev/python/data.html
+++ b/docs/dev/python/data.html
@@ -1667,7 +1667,7 @@ for you:</p>
<span class="gp">In [26]: </span><span class="n">arr</span>
<span class="gh">Out[26]: </span>
-<span class="go"><pyarrow.lib.Int64Array object at 0x7faf3e8f48e0></span>
+<span class="go"><pyarrow.lib.Int64Array object at 0x7f27fb61c760></span>
<span class="go">[</span>
<span class="go"> 1,</span>
<span class="go"> 2,</span>
@@ -1679,7 +1679,7 @@ for you:</p>
<p>But you may also pass a specific data type to override type inference:</p>
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [27]: </span><span
class="n">pa</span><span class="o">.</span><span class="n">array</span><span
class="p">([</span><span class="mi">1</span><span class="p">,</span> <span
class="mi">2</span><span class="p">],</span> <span class="nb">type</span><span
class="o">=</span><span class="n">pa</span><span class="o">.</span><span
class="n">uint16</span><span class="p">())</span>
<span class="gh">Out[27]: </span>
-<span class="go"><pyarrow.lib.UInt16Array object at
0x7faf3e8f5000></span>
+<span class="go"><pyarrow.lib.UInt16Array object at
0x7f27fb61cee0></span>
<span class="go">[</span>
<span class="go"> 1,</span>
<span class="go"> 2</span>
@@ -1714,7 +1714,7 @@ nulls:</p>
<p>Arrays can be sliced without copying:</p>
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [33]: </span><span
class="n">arr</span><span class="p">[</span><span class="mi">1</span><span
class="p">:</span><span class="mi">3</span><span class="p">]</span>
<span class="gh">Out[33]: </span>
-<span class="go"><pyarrow.lib.Int64Array object at 0x7faf3e8f5fc0></span>
+<span class="go"><pyarrow.lib.Int64Array object at 0x7f27fb61db40></span>
<span class="go">[</span>
<span class="go"> 2,</span>
<span class="go"> null</span>
@@ -1767,7 +1767,7 @@ This allows for ListView arrays to specify out-of-order
offsets:</p>
<span class="gp">In [42]: </span><span class="n">arr</span>
<span class="gh">Out[42]: </span>
-<span class="go"><pyarrow.lib.ListViewArray object at
0x7faf3e8f67a0></span>
+<span class="go"><pyarrow.lib.ListViewArray object at
0x7f27fb61c6a0></span>
<span class="go">[</span>
<span class="go"> [</span>
<span class="go"> 5,</span>
@@ -1792,7 +1792,7 @@ This allows for ListView arrays to specify out-of-order
offsets:</p>
dictionaries:</p>
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [43]: </span><span
class="n">pa</span><span class="o">.</span><span class="n">array</span><span
class="p">([{</span><span class="s1">'x'</span><span class="p">:</span>
<span class="mi">1</span><span class="p">,</span> <span
class="s1">'y'</span><span class="p">:</span> <span
class="kc">True</span><span class="p">},</span> <span class="p">{</span><span
class="s1">'z& [...]
<span class="gh">Out[43]: </span>
-<span class="go"><pyarrow.lib.StructArray object at
0x7faf3e8f6980></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f27fb61e380></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- child 0 type: int64</span>
<span class="go"> [</span>
@@ -1819,7 +1819,7 @@ you must explicitly pass the type:</p>
<span class="gp">In [45]: </span><span class="n">pa</span><span
class="o">.</span><span class="n">array</span><span class="p">([{</span><span
class="s1">'x'</span><span class="p">:</span> <span
class="mi">1</span><span class="p">,</span> <span
class="s1">'y'</span><span class="p">:</span> <span
class="kc">True</span><span class="p">},</span> <span class="p">{</span><span
class="s1">'x'</span><span class="p">:</span> <span
class="mi">2</span><span class="p">,</span [...]
<span class="gh">Out[45]: </span>
-<span class="go"><pyarrow.lib.StructArray object at
0x7faf3e8f7220></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f27fb61eaa0></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- child 0 type: int8</span>
<span class="go"> [</span>
@@ -1834,7 +1834,7 @@ you must explicitly pass the type:</p>
<span class="gp">In [46]: </span><span class="n">pa</span><span
class="o">.</span><span class="n">array</span><span class="p">([(</span><span
class="mi">3</span><span class="p">,</span> <span class="kc">True</span><span
class="p">),</span> <span class="p">(</span><span class="mi">4</span><span
class="p">,</span> <span class="kc">False</span><span class="p">)],</span>
<span class="nb">type</span><span class="o">=</span><span
class="n">ty</span><span class="p">)</span>
<span class="gh">Out[46]: </span>
-<span class="go"><pyarrow.lib.StructArray object at
0x7faf3e8f71c0></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f27fb61ebc0></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- child 0 type: int8</span>
<span class="go"> [</span>
@@ -1853,7 +1853,7 @@ level and at the individual field level. If initializing
from a sequence
of Python dicts, a missing dict key is handled as a null value:</p>
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [47]: </span><span
class="n">pa</span><span class="o">.</span><span class="n">array</span><span
class="p">([{</span><span class="s1">'x'</span><span class="p">:</span>
<span class="mi">1</span><span class="p">},</span> <span
class="kc">None</span><span class="p">,</span> <span class="p">{</span><span
class="s1">'y'</span><span class="p">:</span> <span class="kc">None</s
[...]
<span class="gh">Out[47]: </span>
-<span class="go"><pyarrow.lib.StructArray object at
0x7faf3e8f6a40></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f27fb61e5c0></span>
<span class="go">-- is_valid:</span>
<span class="go"> [</span>
<span class="go"> true,</span>
@@ -1888,7 +1888,7 @@ individual arrays, and no copy is involved:</p>
<span class="gp">In [52]: </span><span class="n">arr</span>
<span class="gh">Out[52]: </span>
-<span class="go"><pyarrow.lib.StructArray object at
0x7faf3e8f7e80></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f27fb61f760></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- child 0 type: int16</span>
<span class="go"> [</span>
@@ -1915,7 +1915,7 @@ the type is explicitly passed into <a class="reference
internal" href="generated
<span class="gp">In [55]: </span><span class="n">pa</span><span
class="o">.</span><span class="n">array</span><span class="p">(</span><span
class="n">data</span><span class="p">,</span> <span class="nb">type</span><span
class="o">=</span><span class="n">ty</span><span class="p">)</span>
<span class="gh">Out[55]: </span>
-<span class="go"><pyarrow.lib.MapArray object at 0x7faf3e73c340></span>
+<span class="go"><pyarrow.lib.MapArray object at 0x7f27fb61fd60></span>
<span class="go">[</span>
<span class="go"> keys:</span>
<span class="go"> [</span>
@@ -1949,7 +1949,7 @@ their row, use the <a class="reference internal"
href="generated/pyarrow.ListArr
<span class="gp">In [57]: </span><span class="n">arr</span><span
class="o">.</span><span class="n">keys</span>
<span class="gh">Out[57]: </span>
-<span class="go"><pyarrow.lib.StringArray object at
0x7faf3e73c100></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f27fb61e3e0></span>
<span class="go">[</span>
<span class="go"> "x",</span>
<span class="go"> "y",</span>
@@ -1958,7 +1958,7 @@ their row, use the <a class="reference internal"
href="generated/pyarrow.ListArr
<span class="gp">In [58]: </span><span class="n">arr</span><span
class="o">.</span><span class="n">items</span>
<span class="gh">Out[58]: </span>
-<span class="go"><pyarrow.lib.Int64Array object at 0x7faf3e8f4d00></span>
+<span class="go"><pyarrow.lib.Int64Array object at 0x7f27fb61fa60></span>
<span class="go">[</span>
<span class="go"> 4,</span>
<span class="go"> 5,</span>
@@ -1967,7 +1967,7 @@ their row, use the <a class="reference internal"
href="generated/pyarrow.ListArr
<span class="gp">In [59]: </span><span class="n">pa</span><span
class="o">.</span><span class="n">ListArray</span><span class="o">.</span><span
class="n">from_arrays</span><span class="p">(</span><span
class="n">arr</span><span class="o">.</span><span class="n">offsets</span><span
class="p">,</span> <span class="n">arr</span><span class="o">.</span><span
class="n">keys</span><span class="p">)</span>
<span class="gh">Out[59]: </span>
-<span class="go"><pyarrow.lib.ListArray object at 0x7faf3e73c940></span>
+<span class="go"><pyarrow.lib.ListArray object at 0x7f27fb6601c0></span>
<span class="go">[</span>
<span class="go"> [</span>
<span class="go"> "x",</span>
@@ -1980,7 +1980,7 @@ their row, use the <a class="reference internal"
href="generated/pyarrow.ListArr
<span class="gp">In [60]: </span><span class="n">pa</span><span
class="o">.</span><span class="n">ListArray</span><span class="o">.</span><span
class="n">from_arrays</span><span class="p">(</span><span
class="n">arr</span><span class="o">.</span><span class="n">offsets</span><span
class="p">,</span> <span class="n">arr</span><span class="o">.</span><span
class="n">items</span><span class="p">)</span>
<span class="gh">Out[60]: </span>
-<span class="go"><pyarrow.lib.ListArray object at 0x7faf3e73ce20></span>
+<span class="go"><pyarrow.lib.ListArray object at 0x7f27fb660040></span>
<span class="go">[</span>
<span class="go"> [</span>
<span class="go"> 4,</span>
@@ -2015,7 +2015,7 @@ selected:</p>
<span class="gp">In [66]: </span><span class="n">union_arr</span>
<span class="gh">Out[66]: </span>
-<span class="go"><pyarrow.lib.UnionArray object at 0x7faf3e73cbe0></span>
+<span class="go"><pyarrow.lib.UnionArray object at 0x7f27fb660760></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- type_ids: [</span>
<span class="go"> 0,</span>
@@ -2054,7 +2054,7 @@ each offset in the selected child array it can be
found:</p>
<span class="gp">In [73]: </span><span class="n">union_arr</span>
<span class="gh">Out[73]: </span>
-<span class="go"><pyarrow.lib.UnionArray object at 0x7faf3e8f56c0></span>
+<span class="go"><pyarrow.lib.UnionArray object at 0x7f27fb661360></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- type_ids: [</span>
<span class="go"> 0,</span>
@@ -2103,7 +2103,7 @@ consider an example:</p>
<span class="gp">In [77]: </span><span class="n">dict_array</span>
<span class="gh">Out[77]: </span>
-<span class="go"><pyarrow.lib.DictionaryArray object at
0x7faf3e8db760></span>
+<span class="go"><pyarrow.lib.DictionaryArray object at
0x7f27fb7ff920></span>
<span class="go">-- dictionary:</span>
<span class="go"> [</span>
@@ -2130,7 +2130,7 @@ consider an example:</p>
<span class="gp">In [79]: </span><span class="n">dict_array</span><span
class="o">.</span><span class="n">indices</span>
<span class="gh">Out[79]: </span>
-<span class="go"><pyarrow.lib.Int64Array object at 0x7faf3e73dd20></span>
+<span class="go"><pyarrow.lib.Int64Array object at 0x7f27fb661f60></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -2144,7 +2144,7 @@ consider an example:</p>
<span class="gp">In [80]: </span><span class="n">dict_array</span><span
class="o">.</span><span class="n">dictionary</span>
<span class="gh">Out[80]: </span>
-<span class="go"><pyarrow.lib.StringArray object at
0x7faf3e73de40></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f27fb661fc0></span>
<span class="go">[</span>
<span class="go"> "foo",</span>
<span class="go"> "bar",</span>
@@ -2200,7 +2200,7 @@ instances. Let’s consider a collection of arrays:</p>
<span class="gp">In [87]: </span><span class="n">batch</span><span
class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="gh">Out[87]: </span>
-<span class="go"><pyarrow.lib.StringArray object at
0x7faf3e73f1c0></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f27fb662e00></span>
<span class="go">[</span>
<span class="go"> "foo",</span>
<span class="go"> "bar",</span>
@@ -2214,7 +2214,7 @@ instances. Let’s consider a collection of arrays:</p>
<span class="gp">In [89]: </span><span class="n">batch2</span><span
class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="gh">Out[89]: </span>
-<span class="go"><pyarrow.lib.StringArray object at
0x7faf3e73f820></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f27fb6630a0></span>
<span class="go">[</span>
<span class="go"> "bar",</span>
<span class="go"> "baz",</span>
@@ -2258,7 +2258,7 @@ container for one or more arrays of the same type.</p>
<span class="gp">In [95]: </span><span class="n">c</span>
<span class="gh">Out[95]: </span>
-<span class="go"><pyarrow.lib.ChunkedArray object at
0x7faf3e73cee0></span>
+<span class="go"><pyarrow.lib.ChunkedArray object at
0x7f27fb662800></span>
<span class="go">[</span>
<span class="go"> [</span>
<span class="go"> 1,</span>
@@ -2292,7 +2292,7 @@ container for one or more arrays of the same type.</p>
<span class="gp">In [97]: </span><span class="n">c</span><span
class="o">.</span><span class="n">chunk</span><span class="p">(</span><span
class="mi">0</span><span class="p">)</span>
<span class="gh">Out[97]: </span>
-<span class="go"><pyarrow.lib.Int64Array object at 0x7faf3e8f58a0></span>
+<span class="go"><pyarrow.lib.Int64Array object at 0x7f27fb662980></span>
<span class="go">[</span>
<span class="go"> 1,</span>
<span class="go"> 2,</span>
diff --git a/docs/dev/python/dataset.html b/docs/dev/python/dataset.html
index 19c07c57baf..fde06c608d4 100644
--- a/docs/dev/python/dataset.html
+++ b/docs/dev/python/dataset.html
@@ -1568,7 +1568,7 @@ can pass it the path to the directory containing the data
files:</p>
<span class="gp">In [12]: </span><span class="n">dataset</span> <span
class="o">=</span> <span class="n">ds</span><span class="o">.</span><span
class="n">dataset</span><span class="p">(</span><span class="n">base</span>
<span class="o">/</span> <span
class="s2">"parquet_dataset"</span><span class="p">,</span> <span
class="nb">format</span><span class="o">=</span><span
class="s2">"parquet"</span><span class="p">)</span>
<span class="gp">In [13]: </span><span class="n">dataset</span>
-<span class="gh">Out[13]: </span><span
class="go"><pyarrow._dataset.FileSystemDataset at 0x7faf3e8d2680></span>
+<span class="gh">Out[13]: </span><span
class="go"><pyarrow._dataset.FileSystemDataset at 0x7f27fb6f5360></span>
</pre></div>
</div>
<p>In addition to searching a base directory, <a class="reference internal"
href="generated/pyarrow.dataset.dataset.html#pyarrow.dataset.dataset"
title="pyarrow.dataset.dataset"><code class="xref py py-func docutils literal
notranslate"><span class="pre">dataset()</span></code></a> accepts a path to a
@@ -1577,8 +1577,8 @@ single file or a list of file paths.</p>
needed, it only crawls the directory to find all the files:</p>
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [14]: </span><span
class="n">dataset</span><span class="o">.</span><span class="n">files</span>
<span class="gh">Out[14]: </span>
-<span
class="go">['/tmp/pyarrow-1rnsll2m/parquet_dataset/data1.parquet',</span>
-<span class="go">
'/tmp/pyarrow-1rnsll2m/parquet_dataset/data2.parquet']</span>
+<span
class="go">['/tmp/pyarrow-6ht3lg65/parquet_dataset/data1.parquet',</span>
+<span class="go">
'/tmp/pyarrow-6ht3lg65/parquet_dataset/data2.parquet']</span>
</pre></div>
</div>
<p>… and infers the dataset’s schema (by default from the first file):</p>
@@ -1599,23 +1599,23 @@ this can require a lot of memory, see below on
filtering / iterative loading):</
<span class="go">c: int64</span>
<span class="gt">----</span>
<span class="ne">a</span>: [[0,1,2,3,4],[5,6,7,8,9]]
-<span class="ne">b</span>:
[[-0.27597484801987193,-0.0313623773133375,-0.9904169767044873,0.053366058140372104,0.9347714027632168],[-0.01082069296976221,-2.0258473603830907,-0.04634886388492683,2.4062608466781397,-0.47763223643907765]]
+<span class="ne">b</span>:
[[-1.382512976514191,-0.26085136728312586,-0.26374182235881316,0.32332302583047384,-0.3962452014139276],[1.0843289523636164,0.763951384114574,0.41929620326882566,0.9803332241752736,-0.23508763617676842]]
<span class="ne">c</span>: [[1,2,1,2,1],[2,1,2,1,2]]
<span class="c1"># converting to pandas to see the contents of the scanned
table</span>
<span class="gp">In [17]: </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[17]: </span>
<span class="go"> a b c</span>
-<span class="go">0 0 -0.275975 1</span>
-<span class="go">1 1 -0.031362 2</span>
-<span class="go">2 2 -0.990417 1</span>
-<span class="go">3 3 0.053366 2</span>
-<span class="go">4 4 0.934771 1</span>
-<span class="go">5 5 -0.010821 2</span>
-<span class="go">6 6 -2.025847 1</span>
-<span class="go">7 7 -0.046349 2</span>
-<span class="go">8 8 2.406261 1</span>
-<span class="go">9 9 -0.477632 2</span>
+<span class="go">0 0 -1.382513 1</span>
+<span class="go">1 1 -0.260851 2</span>
+<span class="go">2 2 -0.263742 1</span>
+<span class="go">3 3 0.323323 2</span>
+<span class="go">4 4 -0.396245 1</span>
+<span class="go">5 5 1.084329 2</span>
+<span class="go">6 6 0.763951 1</span>
+<span class="go">7 7 0.419296 2</span>
+<span class="go">8 8 0.980333 1</span>
+<span class="go">9 9 -0.235088 2</span>
</pre></div>
</div>
</section>
@@ -1638,11 +1638,11 @@ supported; more formats are planned in the future.</p>
<span class="gp">In [21]: </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="gh">Out[21]: </span>
<span class="go"> a b c</span>
-<span class="go">0 0 -0.275975 1</span>
-<span class="go">1 1 -0.031362 2</span>
-<span class="go">2 2 -0.990417 1</span>
-<span class="go">3 3 0.053366 2</span>
-<span class="go">4 4 0.934771 1</span>
+<span class="go">0 0 -1.382513 1</span>
+<span class="go">1 1 -0.260851 2</span>
+<span class="go">2 2 -0.263742 1</span>
+<span class="go">3 3 0.323323 2</span>
+<span class="go">4 4 -0.396245 1</span>
</pre></div>
</div>
</section>
@@ -1674,16 +1674,16 @@ supported; more formats are planned in the future.</p>
<span class="gp">In [23]: </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="p">[</span><span
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 -0.275975</span>
-<span class="go">1 1 -0.031362</span>
-<span class="go">2 2 -0.990417</span>
-<span class="go">3 3 0.053366</span>
-<span class="go">4 4 0.934771</span>
-<span class="go">5 5 -0.010821</span>
-<span class="go">6 6 -2.025847</span>
-<span class="go">7 7 -0.046349</span>
-<span class="go">8 8 2.406261</span>
-<span class="go">9 9 -0.477632</span>
+<span class="go">0 0 -1.382513</span>
+<span class="go">1 1 -0.260851</span>
+<span class="go">2 2 -0.263742</span>
+<span class="go">3 3 0.323323</span>
+<span class="go">4 4 -0.396245</span>
+<span class="go">5 5 1.084329</span>
+<span class="go">6 6 0.763951</span>
+<span class="go">7 7 0.419296</span>
+<span class="go">8 8 0.980333</span>
+<span class="go">9 9 -0.235088</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
@@ -1692,18 +1692,18 @@ 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 -0.046349 2</span>
-<span class="go">1 8 2.406261 1</span>
-<span class="go">2 9 -0.477632 2</span>
+<span class="go">0 7 0.419296 2</span>
+<span class="go">1 8 0.980333 1</span>
+<span class="go">2 9 -0.235088 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 -0.031362 2</span>
-<span class="go">1 3 0.053366 2</span>
-<span class="go">2 5 -0.010821 2</span>
-<span class="go">3 7 -0.046349 2</span>
-<span class="go">4 9 -0.477632 2</span>
+<span class="go">0 1 -0.260851 2</span>
+<span class="go">1 3 0.323323 2</span>
+<span class="go">2 5 1.084329 2</span>
+<span class="go">3 7 0.419296 2</span>
+<span class="go">4 9 -0.235088 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
@@ -1748,11 +1748,11 @@ 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 -0.275975 True</span>
-<span class="go">1 1 -0.031362 False</span>
-<span class="go">2 2 -0.990417 True</span>
-<span class="go">3 3 0.053366 False</span>
-<span class="go">4 4 0.934771 True</span>
+<span class="go">0 0 -1.382513 True</span>
+<span class="go">1 1 -0.260851 False</span>
+<span class="go">2 2 -0.263742 True</span>
+<span class="go">3 3 0.323323 False</span>
+<span class="go">4 4 -0.396245 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1766,11 +1766,11 @@ 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 -0.275975 1 False</span>
-<span class="go">1 1 -0.031362 2 False</span>
-<span class="go">2 2 -0.990417 1 False</span>
-<span class="go">3 3 0.053366 2 False</span>
-<span class="go">4 4 0.934771 1 False</span>
+<span class="go">0 0 -1.382513 1 False</span>
+<span class="go">1 1 -0.260851 2 False</span>
+<span class="go">2 2 -0.263742 1 False</span>
+<span class="go">3 3 0.323323 2 False</span>
+<span class="go">4 4 -0.396245 1 False</span>
</pre></div>
</div>
</section>
@@ -1823,8 +1823,8 @@ 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/2bd679554406425c99be4f2aff9ac314-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/2bd679554406425c99be4f2aff9ac314-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/59f48424a25e46ffaa974e5e18b7a449-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/59f48424a25e46ffaa974e5e18b7a449-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1832,9 +1832,9 @@ 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 -0.166602 1 a</span>
-<span class="go">1 1 0.974513 2 a</span>
-<span class="go">2 2 1.115100 1 a</span>
+<span class="go">0 0 -0.808113 1 a</span>
+<span class="go">1 1 -0.442352 2 a</span>
+<span class="go">2 2 -0.725935 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1842,11 +1842,11 @@ 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 1.672185 2 b</span>
-<span class="go">1 6 1.690427 1 b</span>
-<span class="go">2 7 1.045322 2 b</span>
-<span class="go">3 8 -0.356534 1 b</span>
-<span class="go">4 9 0.002200 2 b</span>
+<span class="go">0 5 0.377339 2 b</span>
+<span class="go">1 6 0.354693 1 b</span>
+<span class="go">2 7 -1.179987 2 b</span>
+<span class="go">3 8 1.021087 1 b</span>
+<span class="go">4 9 0.128007 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -1978,19 +1978,19 @@ 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 1.324526</span>
-<span class="go">1 2018 1 1.867903</span>
-<span class="go">2 2018 2 0.705800</span>
-<span class="go">3 2019 0 1.324526</span>
-<span class="go">4 2019 1 1.867903</span>
-<span class="go">5 2019 2 0.705800</span>
+<span class="go">0 2018 0 -1.030778</span>
+<span class="go">1 2018 1 -1.232577</span>
+<span class="go">2 2018 2 0.843724</span>
+<span class="go">3 2019 0 -1.030778</span>
+<span class="go">4 2019 1 -1.232577</span>
+<span class="go">5 2019 2 0.843724</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 1.324526</span>
-<span class="go">1 2019 1 1.867903</span>
-<span class="go">2 2019 2 0.705800</span>
+<span class="go">0 2019 0 -1.030778</span>
+<span class="go">1 2019 1 -1.232577</span>
+<span class="go">2 2019 2 0.843724</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2242,7 +2242,7 @@ 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
0x7faf3e655170></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f27fb54f6a0></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>
@@ -2251,7 +2251,7 @@ 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
0x7faf3ed22d90></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f27fb54f6a0></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 7ff0796b263..16094a285d8 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1593,7 +1593,7 @@ 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
0x7faf01378220></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f27b8e64340></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 cb63d028542..3dc08a1b858 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1542,7 +1542,7 @@ 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=0x7faefa38bd90 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7f27b8850050 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>
@@ -1555,7 +1555,7 @@ 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
0x7faefa4a0c40></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7f27b89a0b80></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
@@ -1754,7 +1754,7 @@ 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=0x7faf9e103000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7f285b198000 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>
@@ -1776,7 +1776,7 @@ 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=0x7faf94829000 size=14 is_cpu=True is_mutable=True></span>
+<span class="gh">Out[38]: </span><span class="go"><pyarrow.Buffer
address=0x7f2851829000 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 5f28d58b6f3..0ef404ad1d7 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1716,7 +1716,7 @@ 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
0x7faf8bf261a0></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f2849721c00></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1725,7 +1725,7 @@ 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 0x7faf8bf25f00></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7f2849721e40></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1851,7 +1851,7 @@ 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
0x7faf8bf7cca0></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7f2849778a60></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 31cba8647bb..bd853ae7286 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1687,7 +1687,7 @@ 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
0x7faf3e786e80></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f27b3073010></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>
@@ -1697,7 +1697,7 @@ 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
0x7faf8be20fc0></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7f28497f65c0></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>
@@ -1755,7 +1755,7 @@ 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
0x7faf8be2c9f0></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f27fb54e110></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>
@@ -1769,7 +1769,7 @@ 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
0x7faf01706610></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7f284960f060></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 282</span>
@@ -1777,7 +1777,7 @@ 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
0x7faf01554a90></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7f284960f4c0></span>
<span class="go"> file_offset: 0</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1785,7 +1785,7 @@ 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
0x7faf8be2d800></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7f284960f510></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/pkgdown.yml b/docs/dev/r/pkgdown.yml
index 9bc81e6eb60..bdecbcfc941 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: 2024-11-12T01:06Z
+last_built: 2024-11-13T01:33Z
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 c094d5204ab..8541ae694ee 100644
--- a/docs/dev/r/reference/to_duckdb.html
+++ b/docs/dev/r/reference/to_duckdb.html
@@ -141,15 +141,15 @@ using them.</p>
<span class="r-in"><span> <span class="fu">to_duckdb</span><span
class="op">(</span><span class="op">)</span> <span class="op"><a
href="https://magrittr.tidyverse.org/reference/pipe.html";
class="external-link">%>%</a></span></span></span>
<span class="r-in"><span> <span class="fu"><a
href="https://dplyr.tidyverse.org/reference/slice.html";
class="external-link">slice_min</a></span><span class="op">(</span><span
class="va">disp</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#949494;"># Source: SQL [5 x 11]</span></span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#949494;"># Database: DuckDB v1.1.1 [unknown@Linux 6.5.0-1025-azure:R
4.4.1/:memory:]</span></span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#949494;"># Database: DuckDB v1.1.2 [unknown@Linux 6.5.0-1025-azure:R
4.4.2/:memory:]</span></span>
<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;">4</span> 19.7 6 145 175 3.62 2.77 15.5 0 1 5
6</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">5</span> 27.3 4 79 66 4.08 1.94 18.9 1 1 4
1</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of
contents"><h2>On this page</h2>
diff --git a/docs/dev/r/search.json b/docs/dev/r/search.json
index d3f11cbd181..962b7f224a6 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 5930b9320c1..3f83764ff85 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
