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new dd028b79e17 Updating dev docs (build nightly-tests-2024-10-14-0)
dd028b79e17 is described below
commit dd028b79e170ec3d5dfaff78ea036907bc7484b7
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Tue Oct 15 00:29:15 2024 +0000
Updating dev docs (build nightly-tests-2024-10-14-0)
---
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/search.json | 2 +-
docs/dev/searchindex.js | 2 +-
10 files changed, 120 insertions(+), 120 deletions(-)
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
index 23aadfbcd1a..9cc42bb3cf5 100644
--- a/docs/dev/python/data.html
+++ b/docs/dev/python/data.html
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<span class="go">[</span>
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@@ -1707,7 +1707,7 @@ for you:</p>
<p>But you may also pass a specific data type to override type inference:</p>
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@@ -1881,7 +1881,7 @@ level and at the individual field level. If initializing
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class="highlight"><pre><span></span><span class="gp">In [47]: </span><span
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<span class="gh">Out[73]: </span>
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+<span class="go"><pyarrow.lib.UnionArray object at 0x7f55e30508e0></span>
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diff --git a/docs/dev/python/dataset.html b/docs/dev/python/dataset.html
index 0691ff7593c..466e75df02f 100644
--- a/docs/dev/python/dataset.html
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@@ -1596,7 +1596,7 @@ can pass it the path to the directory containing the data
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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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@@ -1605,8 +1605,8 @@ 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>
@@ -1627,23 +1627,23 @@ 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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[[0.30920137965174677,0.2698081775010769,0.916510039651611,-1.926180427633317,1.080690071938152],[-0.8177710666263692,0.8523540078776891,0.9497178367713769,-0.6690830509745223,-0.6848111631073499]]
+<span class="ne">b</span>:
[[1.3904944347957535,-0.4224646269293022,-0.5867772482312777,-0.13983496507594856,-0.5881555356225713],[-1.329764311580357,-0.7053385489470247,-0.7259053755088065,0.46781562509528024,-0.8260196990856231]]
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<span class="c1"># converting to pandas to see the contents of the scanned
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<span class="gp">In [17]: </span><span class="n">dataset</span><span
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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 0.309201 1</span>
-<span class="go">1 1 0.269808 2</span>
-<span class="go">2 2 0.916510 1</span>
-<span class="go">3 3 -1.926180 2</span>
-<span class="go">4 4 1.080690 1</span>
-<span class="go">5 5 -0.817771 2</span>
-<span class="go">6 6 0.852354 1</span>
-<span class="go">7 7 0.949718 2</span>
-<span class="go">8 8 -0.669083 1</span>
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+<span class="go">0 0 1.390494 1</span>
+<span class="go">1 1 -0.422465 2</span>
+<span class="go">2 2 -0.586777 1</span>
+<span class="go">3 3 -0.139835 2</span>
+<span class="go">4 4 -0.588156 1</span>
+<span class="go">5 5 -1.329764 2</span>
+<span class="go">6 6 -0.705339 1</span>
+<span class="go">7 7 -0.725905 2</span>
+<span class="go">8 8 0.467816 1</span>
+<span class="go">9 9 -0.826020 2</span>
</pre></div>
</div>
</section>
@@ -1666,11 +1666,11 @@ 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 0.309201 1</span>
-<span class="go">1 1 0.269808 2</span>
-<span class="go">2 2 0.916510 1</span>
-<span class="go">3 3 -1.926180 2</span>
-<span class="go">4 4 1.080690 1</span>
+<span class="go">0 0 1.390494 1</span>
+<span class="go">1 1 -0.422465 2</span>
+<span class="go">2 2 -0.586777 1</span>
+<span class="go">3 3 -0.139835 2</span>
+<span class="go">4 4 -0.588156 1</span>
</pre></div>
</div>
</section>
@@ -1702,16 +1702,16 @@ 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>
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-<span class="go">1 1 0.269808</span>
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-<span class="go">3 3 -1.926180</span>
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+<span class="go">8 8 0.467816</span>
+<span class="go">9 9 -0.826020</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
@@ -1720,18 +1720,18 @@ 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 0.949718 2</span>
-<span class="go">1 8 -0.669083 1</span>
-<span class="go">2 9 -0.684811 2</span>
+<span class="go">0 7 -0.725905 2</span>
+<span class="go">1 8 0.467816 1</span>
+<span class="go">2 9 -0.826020 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 0.269808 2</span>
-<span class="go">1 3 -1.926180 2</span>
-<span class="go">2 5 -0.817771 2</span>
-<span class="go">3 7 0.949718 2</span>
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+<span class="go">0 1 -0.422465 2</span>
+<span class="go">1 3 -0.139835 2</span>
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</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
@@ -1776,11 +1776,11 @@ 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>
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+<span class="go">4 4 -0.588156 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1794,11 +1794,11 @@ 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">3 3 -0.139835 2 False</span>
+<span class="go">4 4 -0.588156 1 False</span>
</pre></div>
</div>
</section>
@@ -1851,8 +1851,8 @@ 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/fd7daecc677949c7b4c9218255a3b810-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/fd7daecc677949c7b4c9218255a3b810-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/68d2686467e44823b05bd48729cc0775-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/68d2686467e44823b05bd48729cc0775-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1860,9 +1860,9 @@ 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 -0.866339 1 a</span>
-<span class="go">1 1 -0.745330 2 a</span>
-<span class="go">2 2 -1.685742 1 a</span>
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+<span class="go">1 1 -0.968221 2 a</span>
+<span class="go">2 2 -0.552587 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1870,11 +1870,11 @@ 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 -0.142509 2 b</span>
-<span class="go">1 6 0.828739 1 b</span>
-<span class="go">2 7 -1.015714 2 b</span>
-<span class="go">3 8 -1.103870 1 b</span>
-<span class="go">4 9 -2.091182 2 b</span>
+<span class="go">0 5 -0.483075 2 b</span>
+<span class="go">1 6 1.166040 1 b</span>
+<span class="go">2 7 -0.084302 2 b</span>
+<span class="go">3 8 0.130894 1 b</span>
+<span class="go">4 9 -0.294000 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -2006,19 +2006,19 @@ 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 0.814702</span>
-<span class="go">1 2018 1 1.471627</span>
-<span class="go">2 2018 2 2.436899</span>
-<span class="go">3 2019 0 0.814702</span>
-<span class="go">4 2019 1 1.471627</span>
-<span class="go">5 2019 2 2.436899</span>
+<span class="go">0 2018 0 0.793643</span>
+<span class="go">1 2018 1 0.259861</span>
+<span class="go">2 2018 2 -0.801554</span>
+<span class="go">3 2019 0 0.793643</span>
+<span class="go">4 2019 1 0.259861</span>
+<span class="go">5 2019 2 -0.801554</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 0.814702</span>
-<span class="go">1 2019 1 1.471627</span>
-<span class="go">2 2019 2 2.436899</span>
+<span class="go">0 2019 0 0.793643</span>
+<span class="go">1 2019 1 0.259861</span>
+<span class="go">2 2019 2 -0.801554</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2270,7 +2270,7 @@ 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
0x7f657a9ad440></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f55e3489f80></span>
<span class="go"> created_by: parquet-cpp-arrow version 18.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 2</span>
<span class="go"> num_rows: 5</span>
@@ -2279,7 +2279,7 @@ 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
0x7f657a9ad440></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f55e3489f80></span>
<span class="go"> created_by: parquet-cpp-arrow version 18.0.0-SNAPSHOT</span>
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<span class="go"> num_rows: 5</span>
diff --git a/docs/dev/python/getstarted.html b/docs/dev/python/getstarted.html
index 39c8505497a..07bf08eeb36 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1621,7 +1621,7 @@ 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
0x7f653d7dd540></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f55a5e255a0></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 bd54db90016..cca11ea8a4c 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1570,7 +1570,7 @@ 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=0x7f653a856650 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7f55a40f7190 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>
@@ -1583,7 +1583,7 @@ 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
0x7f653d72b7c0></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7f55a5f6f7c0></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
@@ -1782,7 +1782,7 @@ 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=0x7f65da4f6000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7f5642a3f000 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>
@@ -1804,7 +1804,7 @@ 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=0x7f65d0c29000 size=14 is_cpu=True is_mutable=True></span>
+<span class="gh">Out[38]: </span><span class="go"><pyarrow.Buffer
address=0x7f5639229000 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 0e450b0f52d..4ad7083d3aa 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1744,7 +1744,7 @@ 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
0x7f65380333a0></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f559ef7ba60></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1753,7 +1753,7 @@ 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 0x7f65380332e0></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7f559ef7b2e0></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1879,7 +1879,7 @@ 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
0x7f65c7f960e0></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7f559c7e2500></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 1cbbfddad47..14be8454e17 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1715,7 +1715,7 @@ 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
0x7f653e18ec50></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f55e30d1f80></span>
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<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1725,7 +1725,7 @@ 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
0x7f65c7fce080></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7f56355a6080></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>
@@ -1783,7 +1783,7 @@ 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
0x7f653d76a480></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f55e30d1080></span>
<span class="go"> created_by: parquet-cpp-arrow version 18.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1797,7 +1797,7 @@ 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
0x7f65c7e782c0></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7f559c7c98f0></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 282</span>
@@ -1805,7 +1805,7 @@ 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
0x7f65c7e78ef0></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7f56355b9490></span>
<span class="go"> file_offset: 0</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1813,7 +1813,7 @@ 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
0x7f65c7e78f90></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7f559c7ca8e0></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 87868bc56da..57b4f235297 100644
--- a/docs/dev/r/articles/data_wrangling.html
+++ b/docs/dev/r/articles/data_wrangling.html
@@ -413,18 +413,18 @@ 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> R4-P17
96 <span style="color: #BB0000;">NA</span> none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> Lobot
175 79 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> Ackbar
180 83 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> Nien Nunb
160 68 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> Darth Maul
175 80 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> Bib Fortuna
180 <span style="color: #BB0000;">NA</span> none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> Ayla Secura
178 55 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> Ratts Tyerel
79 15 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> Dud Bolt
94 45 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> Gasgano
122 <span style="color: #BB0000;">NA</span> none </span></span>
+<span><span class="co">## name height mass
hair_color</span></span>
+<span><span class="co">## <span style="color: #949494; font-style:
italic;"><chr></span> <span style="color: #949494;
font-style: italic;"><int></span> <span style="color: #949494;
font-style: italic;"><dbl></span> <span style="color: #949494;
font-style: italic;"><chr></span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> <span
style="color: #949494;">"</span>Leia Organa<span style="color:
#949494;">"</span> 150 49 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> <span
style="color: #949494;">"</span>Beru Whitesun Lars<span style="color:
#949494;">"</span> 165 75 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> <span
style="color: #949494;">"</span>Wedge Antilles<span style="color:
#949494;">"</span> 170 77 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> <span
style="color: #949494;">"</span>Wicket Systri Warrick<span style="color:
#949494;">"</span> 88 20 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> <span
style="color: #949494;">"</span>Cord\u00e9<span style="color:
#949494;">"</span> 157 <span style="color: #BB0000;">NA</span>
brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> <span
style="color: #949494;">"</span>Dorm\u00e9<span style="color:
#949494;">"</span> 165 <span style="color: #BB0000;">NA</span>
brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> <span
style="color: #949494;">"</span>Yoda<span style="color: #949494;">"</span>
66 17 white </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> <span
style="color: #949494;">"</span>R4-P17<span style="color: #949494;">"</span>
96 <span style="color: #BB0000;">NA</span> none
</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> <span
style="color: #949494;">"</span>Lobot<span style="color: #949494;">"</span>
175 79 none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> <span
style="color: #949494;">"</span>Ackbar<span style="color: #949494;">"</span>
180 83 none </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 ffcdcf7ab7a..f2241ffa4ad 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: 2024-10-13T01:08Z
+last_built: 2024-10-14T01:06Z
urls:
reference: https://arrow.apache.org/docs/r/reference
article: https://arrow.apache.org/docs/r/articles
diff --git a/docs/dev/r/search.json b/docs/dev/r/search.json
index d56c632804b..11f7802a6f4 100644
--- a/docs/dev/r/search.json
+++ b/docs/dev/r/search.json
@@ -1 +1 @@
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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 038e52955fb..4db49f04375 100644
--- a/docs/dev/searchindex.js
+++ b/docs/dev/searchindex.js
@@ -1 +1 @@
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"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",
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"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",
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\ No newline at end of file
