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The following commit(s) were added to refs/heads/asf-site by this push:
new 9cb2753abb2 Updating dev docs (build nightly-tests-2025-01-30-0)
9cb2753abb2 is described below
commit 9cb2753abb20210d6b761e71109c0976d4432b8c
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Fri Jan 31 00:28:54 2025 +0000
Updating dev docs (build nightly-tests-2025-01-30-0)
---
docs/dev/python/data.html | 46 ++++++------
docs/dev/python/dataset.html | 136 ++++++++++++++++++------------------
docs/dev/python/getstarted.html | 2 +-
docs/dev/python/memory.html | 6 +-
docs/dev/python/pandas.html | 6 +-
docs/dev/python/parquet.html | 12 ++--
docs/dev/r/pkgdown.yml | 2 +-
docs/dev/r/reference/to_arrow.html | 6 +-
docs/dev/r/reference/to_duckdb.html | 4 +-
docs/dev/r/search.json | 2 +-
docs/dev/searchindex.js | 2 +-
11 files changed, 112 insertions(+), 112 deletions(-)
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
index 80c2e11951f..78580b2f061 100644
--- a/docs/dev/python/data.html
+++ b/docs/dev/python/data.html
@@ -1730,7 +1730,7 @@ for you:</p>
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diff --git a/docs/dev/python/dataset.html b/docs/dev/python/dataset.html
index 85116f57840..4a93a56e228 100644
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</pre></div>
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<p>In addition to searching a base directory, <a class="reference internal"
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title="pyarrow.dataset.dataset"><code class="xref py py-func docutils literal
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@@ -1640,8 +1640,8 @@ single file or a list of file paths.</p>
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class="highlight"><pre><span></span><span class="gp">In [14]: </span><span
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</pre></div>
</div>
<p>… and infers the dataset’s schema (by default from the first file):</p>
@@ -1662,23 +1662,23 @@ 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]]
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[[-1.4630191288886476,-1.4930530861775646,-0.6545306094528257,0.018669470044655814,0.02396998389585692],[1.7644916411498803,1.8194827341690754,-0.5394412288307897,-0.774404262812497,2.9666893072848364]]
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<span class="c1"># converting to pandas to see the contents of the scanned
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<span class="gh">Out[17]: </span>
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</pre></div>
</div>
</section>
@@ -1701,11 +1701,11 @@ 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>
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-<span class="go">3 3 0.018669 2</span>
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+<span class="go">4 4 1.869392 1</span>
</pre></div>
</div>
</section>
@@ -1737,16 +1737,16 @@ 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
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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>
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-<span class="go">1 1 -1.493053</span>
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+<span class="go">8 8 1.365880</span>
+<span class="go">9 9 -0.288235</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
@@ -1755,18 +1755,18 @@ 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>
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-<span class="go">1 8 -0.774404 1</span>
-<span class="go">2 9 2.966689 2</span>
+<span class="go">0 7 0.942792 2</span>
+<span class="go">1 8 1.365880 1</span>
+<span class="go">2 9 -0.288235 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 -1.493053 2</span>
-<span class="go">1 3 0.018669 2</span>
-<span class="go">2 5 1.764492 2</span>
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+<span class="go">2 5 -0.821630 2</span>
+<span class="go">3 7 0.942792 2</span>
+<span class="go">4 9 -0.288235 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
@@ -1811,11 +1811,11 @@ values:</p>
<span class="gp">In [30]: </span><span class="n">dataset</span><span
class="o">.</span><span class="n">to_table</span><span class="p">(</span><span
class="n">columns</span><span class="o">=</span><span
class="n">projection</span><span class="p">)</span><span
class="o">.</span><span class="n">to_pandas</span><span
class="p">()</span><span class="o">.</span><span class="n">head</span><span
class="p">()</span>
<span class="gh">Out[30]: </span>
<span class="go"> a_renamed b_as_float32 c_1</span>
-<span class="go">0 0 -1.463019 True</span>
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+<span class="go">3 3 0.305607 False</span>
+<span class="go">4 4 1.869392 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1829,11 +1829,11 @@ 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>
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-<span class="go">2 2 -0.654531 1 False</span>
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+<span class="go">1 1 0.827989 2 False</span>
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+<span class="go">3 3 0.305607 2 False</span>
+<span class="go">4 4 1.869392 1 True</span>
</pre></div>
</div>
</section>
@@ -1886,8 +1886,8 @@ 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/d11f22f445c04a26ab29a74b7818e5db-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/d11f22f445c04a26ab29a74b7818e5db-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/784738b6fd3349a8b43f2f1e97e23922-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/784738b6fd3349a8b43f2f1e97e23922-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1895,9 +1895,9 @@ 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 -0.012227 1 a</span>
-<span class="go">1 1 2.945754 2 a</span>
-<span class="go">2 2 -0.474156 1 a</span>
+<span class="go">0 0 -0.123333 1 a</span>
+<span class="go">1 1 -1.525416 2 a</span>
+<span class="go">2 2 0.583215 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1905,11 +1905,11 @@ altogether if they do not match the filter:</p>
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [39]: </span><span
class="n">dataset</span><span class="o">.</span><span
class="n">to_table</span><span class="p">(</span><span
class="nb">filter</span><span class="o">=</span><span class="n">ds</span><span
class="o">.</span><span class="n">field</span><span class="p">(</span><span
class="s2">"part"</span><span class="p">)</span> <span
class="o">==</span> <span class="s2">&qu [...]
<span class="gh">Out[39]: </span>
<span class="go"> a b c part</span>
-<span class="go">0 5 -0.023400 2 b</span>
-<span class="go">1 6 -0.493558 1 b</span>
-<span class="go">2 7 3.396946 2 b</span>
-<span class="go">3 8 0.147422 1 b</span>
-<span class="go">4 9 2.117080 2 b</span>
+<span class="go">0 5 -1.451320 2 b</span>
+<span class="go">1 6 0.813222 1 b</span>
+<span class="go">2 7 -0.768042 2 b</span>
+<span class="go">3 8 1.178397 1 b</span>
+<span class="go">4 9 0.518965 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -2041,19 +2041,19 @@ 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 0.829964</span>
-<span class="go">1 2018 1 0.345905</span>
-<span class="go">2 2018 2 0.100715</span>
-<span class="go">3 2019 0 0.829964</span>
-<span class="go">4 2019 1 0.345905</span>
-<span class="go">5 2019 2 0.100715</span>
+<span class="go">0 2018 0 0.311525</span>
+<span class="go">1 2018 1 1.260794</span>
+<span class="go">2 2018 2 0.699414</span>
+<span class="go">3 2019 0 0.311525</span>
+<span class="go">4 2019 1 1.260794</span>
+<span class="go">5 2019 2 0.699414</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 0.829964</span>
-<span class="go">1 2019 1 0.345905</span>
-<span class="go">2 2019 2 0.100715</span>
+<span class="go">0 2019 0 0.311525</span>
+<span class="go">1 2019 1 1.260794</span>
+<span class="go">2 2019 2 0.699414</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2305,7 +2305,7 @@ to supply a visitor that will be called as each file is
created:</p>
<span class="gp"> ....: </span>
<span class="go">path=dataset_visited/c=1/part-0.parquet</span>
<span class="go">size=816 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f106e8f33d0></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7ff9ab2f37e0></span>
<span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 2</span>
<span class="go"> num_rows: 5</span>
@@ -2314,7 +2314,7 @@ to supply a visitor that will be called as each file is
created:</p>
<span class="go"> serialized_size: 0</span>
<span class="go">path=dataset_visited/c=2/part-0.parquet</span>
<span class="go">size=818 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f106e8f33d0></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7ff9ab2c1530></span>
<span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 2</span>
<span class="go"> num_rows: 5</span>
diff --git a/docs/dev/python/getstarted.html b/docs/dev/python/getstarted.html
index 6f354fcb69e..ad7f36aa434 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1656,7 +1656,7 @@ 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
0x7f103f209ba0></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7ff97bc198a0></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 e634a67e3cf..581f50e9ad9 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1605,7 +1605,7 @@ 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=0x7f10419d4b90 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7ff98277acd0 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>
@@ -1618,7 +1618,7 @@ 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
0x7f103f217580></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7ff97bc17580></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
@@ -1817,7 +1817,7 @@ 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=0x7f10d4d99000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7ffa11832000 size=4 is_cpu=True
is_mutable=False></span>
<span class="gp">In [34]: </span><span class="n">buf</span><span
class="o">.</span><span class="n">to_pybytes</span><span class="p">()</span>
<span class="gh">Out[34]: </span><span class="go">b'some'</span>
diff --git a/docs/dev/python/pandas.html b/docs/dev/python/pandas.html
index a6c39ea9297..f6ede4dfcf3 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1779,7 +1779,7 @@ 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
0x7f103df870a0></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7ff978337160></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1788,7 +1788,7 @@ 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 0x7f103df86f20></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7ff978336860></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1914,7 +1914,7 @@ converted to an Arrow <code class="docutils literal
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<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
0x7f103dfb2020></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7ff978362140></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 7979b1f4c1e..52f605b7336 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1750,7 +1750,7 @@ 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
0x7f1040a32de0></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7ff97dccc4f0></span>
<span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1760,7 +1760,7 @@ 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
0x7f10432e32c0></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7ff97eb7a000></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>
@@ -1818,7 +1818,7 @@ 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
0x7f10ba714950></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7ff97839e250></span>
<span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1832,7 +1832,7 @@ 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
0x7f103dfec5e0></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7ff9f6f11580></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 282</span>
@@ -1840,7 +1840,7 @@ 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
0x7f10ba7162a0></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7ff9f6f11850></span>
<span class="go"> file_offset: 0</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1848,7 +1848,7 @@ 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>
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0x7f10ba7162f0></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7ff97835c450></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 395483f88e6..81424a9a7a7 100644
--- a/docs/dev/r/pkgdown.yml
+++ b/docs/dev/r/pkgdown.yml
@@ -21,7 +21,7 @@ articles:
read_write: read_write.html
developers/setup: developers/setup.html
developers/workflow: developers/workflow.html
-last_built: 2025-01-29T01:06Z
+last_built: 2025-01-30T01:07Z
urls:
reference: https://arrow.apache.org/docs/r/reference
article: https://arrow.apache.org/docs/r/articles
diff --git a/docs/dev/r/reference/to_arrow.html
b/docs/dev/r/reference/to_arrow.html
index 98d9275d22f..c946a5137eb 100644
--- a/docs/dev/r/reference/to_arrow.html
+++ b/docs/dev/r/reference/to_arrow.html
@@ -121,9 +121,9 @@ result to materialize the entire Table in-memory.</p>
<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> 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>
+<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>
</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/reference/to_duckdb.html
b/docs/dev/r/reference/to_duckdb.html
index c8353b186c7..7b9c55b8242 100644
--- a/docs/dev/r/reference/to_duckdb.html
+++ b/docs/dev/r/reference/to_duckdb.html
@@ -148,8 +148,8 @@ using them.</p>
<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;">4</span> 27.3 4 79 66 4.08 1.94 18.9 1 1 4
1</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">5</span> 19.7 6 145 175 3.62 2.77 15.5 0 1 5
6</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of
contents"><h2>On this page</h2>
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index b517aaf3747..5c749a0e12e 100644
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