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The following commit(s) were added to refs/heads/asf-site by this push:
new f772a7906b7 Updating dev docs (build nightly-tests-2024-05-05-0)
f772a7906b7 is described below
commit f772a7906b70ecc83de223bf55b0f99d49507aff
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Mon May 6 00:23:49 2024 +0000
Updating dev docs (build nightly-tests-2024-05-05-0)
---
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 73e29fb924c..76ea89335c7 100644
--- a/docs/dev/python/data.html
+++ b/docs/dev/python/data.html
@@ -1686,7 +1686,7 @@ for you:</p>
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<span class="gh">Out[26]: </span>
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<span class="go">[</span>
<span class="go"> 1,</span>
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@@ -1698,7 +1698,7 @@ for you:</p>
<p>But you may also pass a specific data type to override type inference:</p>
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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
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@@ -1872,7 +1872,7 @@ level and at the individual field level. If initializing
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<span class="gp">In [60]: </span><span class="n">pa</span><span
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<span class="gh">Out[73]: </span>
-<span class="go"><pyarrow.lib.UnionArray object at 0x7f6ddd10a920></span>
+<span class="go"><pyarrow.lib.UnionArray object at 0x7f83fc58be80></span>
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<span class="go">-- type_ids: [</span>
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+<span class="go"><pyarrow.lib.DictionaryArray object at
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@@ -2163,7 +2163,7 @@ consider an example:</p>
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diff --git a/docs/dev/python/dataset.html b/docs/dev/python/dataset.html
index 46902d25d21..5c86943ec2d 100644
--- a/docs/dev/python/dataset.html
+++ b/docs/dev/python/dataset.html
@@ -1589,7 +1589,7 @@ 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"
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
@@ -1598,8 +1598,8 @@ 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>
@@ -1620,23 +1620,23 @@ 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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[[-0.6796520388506592,-0.0454061222905896,-0.6504737766078367,-0.25227722291443017,0.674816479607427],[1.3267629869006063,1.2060083574329334,0.4110698639996635,0.8445444715256893,-0.5066682025513365]]
+<span class="ne">b</span>:
[[-1.4929463741253148,-0.6683271106891416,1.5473730756010766,-0.07393737564191168,-0.44678040289020976],[1.558986475943212,0.27518253571203566,1.3541274590122157,1.1465354476685337,0.4108019978079201]]
<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
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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 -0.679652 1</span>
-<span class="go">1 1 -0.045406 2</span>
-<span class="go">2 2 -0.650474 1</span>
-<span class="go">3 3 -0.252277 2</span>
-<span class="go">4 4 0.674816 1</span>
-<span class="go">5 5 1.326763 2</span>
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-<span class="go">7 7 0.411070 2</span>
-<span class="go">8 8 0.844544 1</span>
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+<span class="go">0 0 -1.492946 1</span>
+<span class="go">1 1 -0.668327 2</span>
+<span class="go">2 2 1.547373 1</span>
+<span class="go">3 3 -0.073937 2</span>
+<span class="go">4 4 -0.446780 1</span>
+<span class="go">5 5 1.558986 2</span>
+<span class="go">6 6 0.275183 1</span>
+<span class="go">7 7 1.354127 2</span>
+<span class="go">8 8 1.146535 1</span>
+<span class="go">9 9 0.410802 2</span>
</pre></div>
</div>
</section>
@@ -1659,11 +1659,11 @@ 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 -0.679652 1</span>
-<span class="go">1 1 -0.045406 2</span>
-<span class="go">2 2 -0.650474 1</span>
-<span class="go">3 3 -0.252277 2</span>
-<span class="go">4 4 0.674816 1</span>
+<span class="go">0 0 -1.492946 1</span>
+<span class="go">1 1 -0.668327 2</span>
+<span class="go">2 2 1.547373 1</span>
+<span class="go">3 3 -0.073937 2</span>
+<span class="go">4 4 -0.446780 1</span>
</pre></div>
</div>
</section>
@@ -1695,16 +1695,16 @@ 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 -0.679652</span>
-<span class="go">1 1 -0.045406</span>
-<span class="go">2 2 -0.650474</span>
-<span class="go">3 3 -0.252277</span>
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+<span class="go">7 7 1.354127</span>
+<span class="go">8 8 1.146535</span>
+<span class="go">9 9 0.410802</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
@@ -1713,18 +1713,18 @@ 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 0.844544 1</span>
-<span class="go">2 9 -0.506668 2</span>
+<span class="go">0 7 1.354127 2</span>
+<span class="go">1 8 1.146535 1</span>
+<span class="go">2 9 0.410802 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 -0.045406 2</span>
-<span class="go">1 3 -0.252277 2</span>
-<span class="go">2 5 1.326763 2</span>
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+<span class="go">0 1 -0.668327 2</span>
+<span class="go">1 3 -0.073937 2</span>
+<span class="go">2 5 1.558986 2</span>
+<span class="go">3 7 1.354127 2</span>
+<span class="go">4 9 0.410802 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
@@ -1769,11 +1769,11 @@ 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">3 3 -0.073937 False</span>
+<span class="go">4 4 -0.446780 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1787,11 +1787,11 @@ 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 -0.073937 2 False</span>
+<span class="go">4 4 -0.446780 1 False</span>
</pre></div>
</div>
</section>
@@ -1844,8 +1844,8 @@ 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/feb0ee9c07ed456095766da525fcd4dd-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/feb0ee9c07ed456095766da525fcd4dd-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/a9fb2600a82e485eb915c080e010c9d9-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/a9fb2600a82e485eb915c080e010c9d9-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1853,9 +1853,9 @@ 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 -1.226254 1 a</span>
-<span class="go">1 1 -1.672974 2 a</span>
-<span class="go">2 2 0.960660 1 a</span>
+<span class="go">0 0 0.494334 1 a</span>
+<span class="go">1 1 2.714624 2 a</span>
+<span class="go">2 2 1.070064 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1863,11 +1863,11 @@ 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 -0.707093 2 b</span>
-<span class="go">1 6 -1.023059 1 b</span>
-<span class="go">2 7 0.508422 2 b</span>
-<span class="go">3 8 1.553785 1 b</span>
-<span class="go">4 9 -0.949571 2 b</span>
+<span class="go">0 5 1.965306 2 b</span>
+<span class="go">1 6 -1.160275 1 b</span>
+<span class="go">2 7 2.119597 2 b</span>
+<span class="go">3 8 0.536538 1 b</span>
+<span class="go">4 9 1.497415 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -1999,19 +1999,19 @@ 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 0.136540</span>
-<span class="go">1 2018 1 0.324478</span>
-<span class="go">2 2018 2 0.125530</span>
-<span class="go">3 2019 0 0.136540</span>
-<span class="go">4 2019 1 0.324478</span>
-<span class="go">5 2019 2 0.125530</span>
+<span class="go">0 2018 0 -0.104949</span>
+<span class="go">1 2018 1 -0.181241</span>
+<span class="go">2 2018 2 1.032490</span>
+<span class="go">3 2019 0 -0.104949</span>
+<span class="go">4 2019 1 -0.181241</span>
+<span class="go">5 2019 2 1.032490</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 0.136540</span>
-<span class="go">1 2019 1 0.324478</span>
-<span class="go">2 2019 2 0.125530</span>
+<span class="go">0 2019 0 -0.104949</span>
+<span class="go">1 2019 1 -0.181241</span>
+<span class="go">2 2019 2 1.032490</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2263,7 +2263,7 @@ 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=2/part-0.parquet</span>
<span class="go">size=990 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f6def33da30></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f83e9f94b30></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>
@@ -2272,7 +2272,7 @@ 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=1/part-0.parquet</span>
<span class="go">size=988 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f6def33da30></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f83e9f65530></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 ea1535111aa..7cabe9473e5 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1614,7 +1614,7 @@ 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
0x7f6ddca309a0></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f83fbe8ca60></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 5ad25c350d9..7ce40f40aa8 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1563,7 +1563,7 @@ 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=0x7f6ddcce16d0 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7f83fc215850 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>
@@ -1576,7 +1576,7 @@ 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
0x7f6ddcde9f00></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7f83fc259f00></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
@@ -1775,7 +1775,7 @@ 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=0x7f6e029d5000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7f8421eaf000 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>
@@ -1797,7 +1797,7 @@ 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=0x7f6df8e1a000 size=14 is_cpu=True is_mutable=True></span>
+<span class="gh">Out[38]: </span><span class="go"><pyarrow.Buffer
address=0x7f841821a000 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 42d16957476..599c47bfba1 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1735,7 +1735,7 @@ 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
0x7f6dccf5e740></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f83e8fd2860></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1744,7 +1744,7 @@ 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 0x7f6ddca31840></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7f83fbe8d840></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1870,7 +1870,7 @@ 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
0x7f6dd55a52a0></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7f83fc344b80></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 d2e6aa6e246..22254a8c18a 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1708,7 +1708,7 @@ 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
0x7f6ddc94fab0></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f83fc1ea750></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>
@@ -1718,7 +1718,7 @@ 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
0x7f6dcc1e59c0></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7f83fc3654c0></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>
@@ -1776,7 +1776,7 @@ 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
0x7f6dcc1f87c0></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f83fc2a0a90></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>
@@ -1790,7 +1790,7 @@ 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
0x7f6dcc1f9030></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7f840ed69120></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 282</span>
@@ -1798,7 +1798,7 @@ 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
0x7f6dcc1f93a0></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7f840ed69580></span>
<span class="go"> file_offset: 108</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1806,7 +1806,7 @@ 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
0x7f6dcc11dd00></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7f840ed69670></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 f7120aff75b..e0d310e4c95 100644
--- a/docs/dev/r/articles/data_wrangling.html
+++ b/docs/dev/r/articles/data_wrangling.html
@@ -352,18 +352,18 @@
<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> Yoda
66 17 white </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> Luke
Skywalker 172 77 blond </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> Finis
Valorum 170 <span style="color: #BB0000;">NA</span> blond
</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> Watto
137 <span style="color: #BB0000;">NA</span> black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> Shmi
Skywalker 163 <span style="color: #BB0000;">NA</span> black
</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> Eeth Koth
171 <span style="color: #BB0000;">NA</span> black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> Luminara
Unduli 170 56.2 black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> Barriss
Offee 166 50 black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> R4-P17
96 <span style="color: #BB0000;">NA</span> none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> Lobot
175 79 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> Watto
137 <span style="color: #BB0000;">NA</span> black </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> Shmi
Skywalker 163 <span style="color: #BB0000;">NA</span> black
</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> Eeth Koth
171 <span style="color: #BB0000;">NA</span> black </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> Luminara
Unduli 170 56.2 black </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> Barriss
Offee 166 50 black </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> Yoda
66 17 white </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> Luke
Skywalker 172 77 blond </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> Finis
Valorum 170 <span style="color: #BB0000;">NA</span> blond
</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> Leia Organa
150 49 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> Beru
Whitesun Lars 165 75 brown </span></span>
<span><span class="co">## <span style="color: #949494;"># i 18 more
rows</span></span></span></code></pre>
</div>
<div class="section level2">
diff --git a/docs/dev/r/pkgdown.yml b/docs/dev/r/pkgdown.yml
index 32e4be22233..4e439a05ef5 100644
--- a/docs/dev/r/pkgdown.yml
+++ b/docs/dev/r/pkgdown.yml
@@ -22,7 +22,7 @@ articles:
setup: developers/setup.html
workflow: developers/workflow.html
writing_bindings: developers/writing_bindings.html
-last_built: 2024-05-04T00:54Z
+last_built: 2024-05-05T01:00Z
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 2f12b5e2c62..0e5a3c1661c 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
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release","text":"high-level overview release process see Apache Arrow Release
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the release candidate is cut","title":"Packaging chec [...]
diff --git a/docs/dev/searchindex.js b/docs/dev/searchindex.js
index 8d90fcdce10..fdfd2b6a159 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",
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"c_glib/gandiva-glib/index", "c_glib/index", "c_glib/parquet-glib/index",
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\ No newline at end of file
