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 05c04d307dd Updating dev docs (build nightly-tests-2024-06-17-0)
05c04d307dd is described below
commit 05c04d307ddd1dc48a84c32e785172668ab5372b
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Tue Jun 18 00:24:55 2024 +0000
Updating dev docs (build nightly-tests-2024-06-17-0)
---
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 | 24 +++---
docs/dev/r/pkgdown.yml | 2 +-
docs/dev/r/reference/to_arrow.html | 6 +-
docs/dev/r/reference/to_duckdb.html | 10 +--
docs/dev/r/search.json | 2 +-
docs/dev/searchindex.js | 2 +-
12 files changed, 128 insertions(+), 128 deletions(-)
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
index 3038931ffd0..53e1e440d48 100644
--- a/docs/dev/python/data.html
+++ b/docs/dev/python/data.html
@@ -1683,7 +1683,7 @@ 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 0x7f1c52302fe0></span>
+<span class="go"><pyarrow.lib.Int64Array object at 0x7fadaf0ff280></span>
<span class="go">[</span>
<span class="go"> 1,</span>
<span class="go"> 2,</span>
@@ -1695,7 +1695,7 @@ 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
0x7f1c523014e0></span>
+<span class="go"><pyarrow.lib.UInt16Array object at
0x7fadaf0fd480></span>
<span class="go">[</span>
<span class="go"> 1,</span>
<span class="go"> 2</span>
@@ -1730,7 +1730,7 @@ 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 0x7f1c52303e20></span>
+<span class="go"><pyarrow.lib.Int64Array object at 0x7fadaef3c400></span>
<span class="go">[</span>
<span class="go"> 2,</span>
<span class="go"> null</span>
@@ -1783,7 +1783,7 @@ 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
0x7f1c52340b80></span>
+<span class="go"><pyarrow.lib.ListViewArray object at
0x7fadaef3d2a0></span>
<span class="go">[</span>
<span class="go"> [</span>
<span class="go"> 5,</span>
@@ -1808,7 +1808,7 @@ 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
0x7f1c523411e0></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7fadaef3d720></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- child 0 type: int64</span>
<span class="go"> [</span>
@@ -1835,7 +1835,7 @@ 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
0x7f1c52341a20></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7fadaef3d300></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- child 0 type: int8</span>
<span class="go"> [</span>
@@ -1850,7 +1850,7 @@ 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
0x7f1c52341ae0></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7fadaef3dde0></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- child 0 type: int8</span>
<span class="go"> [</span>
@@ -1869,7 +1869,7 @@ 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
0x7f1c52341180></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7fadaef3d900></span>
<span class="go">-- is_valid:</span>
<span class="go"> [</span>
<span class="go"> true,</span>
@@ -1904,7 +1904,7 @@ 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
0x7f1c523424a0></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7fadaef3ebc0></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- child 0 type: int16</span>
<span class="go"> [</span>
@@ -1931,7 +1931,7 @@ 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 0x7f1c52342b00></span>
+<span class="go"><pyarrow.lib.MapArray object at 0x7fadaef3f040></span>
<span class="go">[</span>
<span class="go"> keys:</span>
<span class="go"> [</span>
@@ -1965,7 +1965,7 @@ 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
0x7f1c523425c0></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7fadaef3f460></span>
<span class="go">[</span>
<span class="go"> "x",</span>
<span class="go"> "y",</span>
@@ -1974,7 +1974,7 @@ 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 0x7f1c52342d40></span>
+<span class="go"><pyarrow.lib.Int64Array object at 0x7fadaef3f400></span>
<span class="go">[</span>
<span class="go"> 4,</span>
<span class="go"> 5,</span>
@@ -1983,7 +1983,7 @@ 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 0x7f1c52303f40></span>
+<span class="go"><pyarrow.lib.ListArray object at 0x7fadaef3f640></span>
<span class="go">[</span>
<span class="go"> [</span>
<span class="go"> "x",</span>
@@ -1996,7 +1996,7 @@ 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 0x7f1c52342f80></span>
+<span class="go"><pyarrow.lib.ListArray object at 0x7fadaef3f580></span>
<span class="go">[</span>
<span class="go"> [</span>
<span class="go"> 4,</span>
@@ -2031,7 +2031,7 @@ 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 0x7f1c52343640></span>
+<span class="go"><pyarrow.lib.UnionArray object at 0x7fadaef3fe20></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- type_ids: [</span>
<span class="go"> 0,</span>
@@ -2070,7 +2070,7 @@ 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 0x7f1c523436a0></span>
+<span class="go"><pyarrow.lib.UnionArray object at 0x7fadaef684c0></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- type_ids: [</span>
<span class="go"> 0,</span>
@@ -2119,7 +2119,7 @@ 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
0x7f1c52374970></span>
+<span class="go"><pyarrow.lib.DictionaryArray object at
0x7fadaef74970></span>
<span class="go">-- dictionary:</span>
<span class="go"> [</span>
@@ -2146,7 +2146,7 @@ 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 0x7f1c52342fe0></span>
+<span class="go"><pyarrow.lib.Int64Array object at 0x7fadaef3dea0></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -2160,7 +2160,7 @@ 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
0x7f1c52341cc0></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7fadaef3f220></span>
<span class="go">[</span>
<span class="go"> "foo",</span>
<span class="go"> "bar",</span>
@@ -2216,7 +2216,7 @@ 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
0x7f1c5237d060></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7fadaef69120></span>
<span class="go">[</span>
<span class="go"> "foo",</span>
<span class="go"> "bar",</span>
@@ -2230,7 +2230,7 @@ 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
0x7f1c5237cf40></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7fadaef697e0></span>
<span class="go">[</span>
<span class="go"> "bar",</span>
<span class="go"> "baz",</span>
@@ -2274,7 +2274,7 @@ 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
0x7f1c5234a930></span>
+<span class="go"><pyarrow.lib.ChunkedArray object at
0x7fadaef831a0></span>
<span class="go">[</span>
<span class="go"> [</span>
<span class="go"> 1,</span>
@@ -2308,7 +2308,7 @@ 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 0x7f1c5237df00></span>
+<span class="go"><pyarrow.lib.Int64Array object at 0x7fadaef6a380></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 c1d0237ae97..17553534b4b 100644
--- a/docs/dev/python/dataset.html
+++ b/docs/dev/python/dataset.html
@@ -1584,7 +1584,7 @@ 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 0x7f1c522046a0></span>
+<span class="gh">Out[13]: </span><span
class="go"><pyarrow._dataset.FileSystemDataset at 0x7fadaee006a0></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
@@ -1593,8 +1593,8 @@ 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-gj3llkiz/parquet_dataset/data1.parquet',</span>
-<span class="go">
'/tmp/pyarrow-gj3llkiz/parquet_dataset/data2.parquet']</span>
+<span
class="go">['/tmp/pyarrow-a86n4wa5/parquet_dataset/data1.parquet',</span>
+<span class="go">
'/tmp/pyarrow-a86n4wa5/parquet_dataset/data2.parquet']</span>
</pre></div>
</div>
<p>… and infers the dataset’s schema (by default from the first file):</p>
@@ -1615,23 +1615,23 @@ 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>:
[[-0.3132120846709862,0.13804707508792124,1.296972347932879,0.5060106837253158,0.7338592033588065],[-0.37509022918426355,0.10882830723438183,1.2526666091278584,0.28190328961444355,1.6191386007139168]]
+<span class="ne">b</span>:
[[1.4092223160790014,-0.6331836804260206,-0.7290138875443307,0.9705706912910866,-0.5443377348309067],[-0.5937784897961106,-0.5787371864042553,-1.7392597345513205,-1.5150738977277103,-1.7611122718041792]]
<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 -0.313212 1</span>
-<span class="go">1 1 0.138047 2</span>
-<span class="go">2 2 1.296972 1</span>
-<span class="go">3 3 0.506011 2</span>
-<span class="go">4 4 0.733859 1</span>
-<span class="go">5 5 -0.375090 2</span>
-<span class="go">6 6 0.108828 1</span>
-<span class="go">7 7 1.252667 2</span>
-<span class="go">8 8 0.281903 1</span>
-<span class="go">9 9 1.619139 2</span>
+<span class="go">0 0 1.409222 1</span>
+<span class="go">1 1 -0.633184 2</span>
+<span class="go">2 2 -0.729014 1</span>
+<span class="go">3 3 0.970571 2</span>
+<span class="go">4 4 -0.544338 1</span>
+<span class="go">5 5 -0.593778 2</span>
+<span class="go">6 6 -0.578737 1</span>
+<span class="go">7 7 -1.739260 2</span>
+<span class="go">8 8 -1.515074 1</span>
+<span class="go">9 9 -1.761112 2</span>
</pre></div>
</div>
</section>
@@ -1654,11 +1654,11 @@ 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 -0.313212 1</span>
-<span class="go">1 1 0.138047 2</span>
-<span class="go">2 2 1.296972 1</span>
-<span class="go">3 3 0.506011 2</span>
-<span class="go">4 4 0.733859 1</span>
+<span class="go">0 0 1.409222 1</span>
+<span class="go">1 1 -0.633184 2</span>
+<span class="go">2 2 -0.729014 1</span>
+<span class="go">3 3 0.970571 2</span>
+<span class="go">4 4 -0.544338 1</span>
</pre></div>
</div>
</section>
@@ -1690,16 +1690,16 @@ 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 -0.313212</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>
+<span class="go">0 0 1.409222</span>
+<span class="go">1 1 -0.633184</span>
+<span class="go">2 2 -0.729014</span>
+<span class="go">3 3 0.970571</span>
+<span class="go">4 4 -0.544338</span>
+<span class="go">5 5 -0.593778</span>
+<span class="go">6 6 -0.578737</span>
+<span class="go">7 7 -1.739260</span>
+<span class="go">8 8 -1.515074</span>
+<span class="go">9 9 -1.761112</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 1.252667 2</span>
-<span class="go">1 8 0.281903 1</span>
-<span class="go">2 9 1.619139 2</span>
+<span class="go">0 7 -1.739260 2</span>
+<span class="go">1 8 -1.515074 1</span>
+<span class="go">2 9 -1.761112 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 0.138047 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>
+<span class="go">0 1 -0.633184 2</span>
+<span class="go">1 3 0.970571 2</span>
+<span class="go">2 5 -0.593778 2</span>
+<span class="go">3 7 -1.739260 2</span>
+<span class="go">4 9 -1.761112 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 -0.313212 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>
+<span class="go">0 0 1.409222 True</span>
+<span class="go">1 1 -0.633184 False</span>
+<span class="go">2 2 -0.729014 True</span>
+<span class="go">3 3 0.970571 False</span>
+<span class="go">4 4 -0.544338 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 -0.313212 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>
+<span class="go">0 0 1.409222 1 True</span>
+<span class="go">1 1 -0.633184 2 False</span>
+<span class="go">2 2 -0.729014 1 False</span>
+<span class="go">3 3 0.970571 2 False</span>
+<span class="go">4 4 -0.544338 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/c323ee60f5a94f238888b3ef7a2ce40a-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/c323ee60f5a94f238888b3ef7a2ce40a-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/72390d231b1e40ceacd7d20fa5d344ed-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/72390d231b1e40ceacd7d20fa5d344ed-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 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>
+<span class="go">0 0 0.915873 1 a</span>
+<span class="go">1 1 -0.197318 2 a</span>
+<span class="go">2 2 1.345379 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 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>
+<span class="go">0 5 0.937882 2 b</span>
+<span class="go">1 6 -1.653419 1 b</span>
+<span class="go">2 7 0.136807 2 b</span>
+<span class="go">3 8 1.232698 1 b</span>
+<span class="go">4 9 -0.649899 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 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="go">0 2018 0 -0.117231</span>
+<span class="go">1 2018 1 0.767334</span>
+<span class="go">2 2018 2 1.953768</span>
+<span class="go">3 2019 0 -0.117231</span>
+<span class="go">4 2019 1 0.767334</span>
+<span class="go">5 2019 2 1.953768</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 0.138287</span>
-<span class="go">1 2019 1 -0.529131</span>
-<span class="go">2 2019 2 -0.759628</span>
+<span class="go">0 2019 0 -0.117231</span>
+<span class="go">1 2019 1 0.767334</span>
+<span class="go">2 2019 2 1.953768</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
0x7f1c52242e80></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7fadaee83060></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
0x7f1c5233d9e0></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7fadaee83060></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 96c11c403c1..eee0594125a 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
0x7f1c16046140></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7fad72e8a140></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 68e3dc72e96..4ea2c64a5b0 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=0x7f1c1449fd50 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7fad702e8290 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
0x7f1c14ff5480></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7fad7033d480></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=0x7f1cb14e0000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7fae0e0ce000 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=0x7f1ca7e13000 size=14 is_cpu=True is_mutable=True></span>
+<span class="gh">Out[38]: </span><span class="go"><pyarrow.Buffer
address=0x7fae04a13000 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 a97140a6fea..d32e38018d8 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
0x7f1c144a1840></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7fadfbf40340></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 0x7f1c9f504580></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7fadfbf40520></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
0x7f1c9f506da0></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7fadfbf43160></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 b34969383ad..9471afb25ec 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
0x7f1c5222f420></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7fadfbf23420></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
0x7f1c14465540></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7fad75186840></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
0x7f1c9f534c70></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7fad72e87920></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
0x7f1c9f5cefc0></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7fadfbe218a0></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
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
0x7f1c9f5cf330></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7fadfbe21bc0></span>
<span class="go"> file_offset: 108</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1801,7 +1801,7 @@ 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
0x7f1c9f599850></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7fad7015d260></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 99098e20302..0b95be03b00 100644
--- a/docs/dev/r/articles/data_wrangling.html
+++ b/docs/dev/r/articles/data_wrangling.html
@@ -425,18 +425,18 @@ paying a performance penalty using the helper function
<span> <span class="co"># perform other arrow operations...</span></span>
<span> <span class="fu"><a
href="https://dplyr.tidyverse.org/reference/compute.html";
class="external-link">collect</a></span><span class="op">(</span><span
class="op">)</span></span></code></pre></div>
<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble:
28 x 4</span></span></span>
-<span><span class="co">## name height mass
hair_color</span></span>
-<span><span class="co">## <span style="color: #949494; font-style:
italic;"><chr></span> <span style="color: #949494;
font-style: italic;"><int></span> <span style="color: #949494;
font-style: italic;"><dbl></span> <span style="color: #949494;
font-style: italic;"><chr></span> </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> Luke
Skywalker 172 77 blond </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> Finis
Valorum 170 <span style="color: #BB0000;">NA</span> blond
</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> Watto
137 <span style="color: #BB0000;">NA</span> black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> Shmi
Skywalker 163 <span style="color: #BB0000;">NA</span> black
</span></span>
-<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> 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">## 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>Yoda<span style="color: #949494;">"</span>
66 17 white </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</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;"> 3</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;"> 4</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;"> 5</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;"> 6</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;"> 7</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;"> 8</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;"> 9</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;">10</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: #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 88099223bcb..b4ae4ccfe2c 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: 2024-06-16T01:03Z
+last_built: 2024-06-17T01:01Z
urls:
reference: https://arrow.apache.org/docs/r/reference
article: https://arrow.apache.org/docs/r/articles
diff --git a/docs/dev/r/reference/to_arrow.html
b/docs/dev/r/reference/to_arrow.html
index 322e8e38715..cf7e603c1f5 100644
--- a/docs/dev/r/reference/to_arrow.html
+++ b/docs/dev/r/reference/to_arrow.html
@@ -125,9 +125,9 @@
<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#949494;"># A tibble: 3 x 2</span></span>
<span class="r-out co"><span class="r-pr">#></span> cyl mean_mpg</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#949494; font-style: italic;"><dbl></span> <span style="color:
#949494; font-style: italic;"><dbl></span></span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">1</span> 4 23.7</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">2</span> 6 19.7</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">3</span> 8 15.1</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">1</span> 6 19.7</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">2</span> 8 15.1</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">3</span> 4 23.7</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
diff --git a/docs/dev/r/reference/to_duckdb.html
b/docs/dev/r/reference/to_duckdb.html
index b216b4e736e..fa4d7efb623 100644
--- a/docs/dev/r/reference/to_duckdb.html
+++ b/docs/dev/r/reference/to_duckdb.html
@@ -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> 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> 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>
+<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> 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> 19.7 6 145 175 3.62 2.77 15.5 0 1 5
6</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
diff --git a/docs/dev/r/search.json b/docs/dev/r/search.json
index 0642ca34815..927a9e69655 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 d7c08cfe818..70f8a1b3dae 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
