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new 3f85dc27adc Updating dev docs (build nightly-tests-2025-08-03-0)
3f85dc27adc is described below
commit 3f85dc27adc5ee12b701af3417f324c6d06839ab
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Mon Aug 4 00:40:45 2025 +0000
Updating dev docs (build nightly-tests-2025-08-03-0)
---
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/search.json | 2 +-
docs/dev/searchindex.js | 2 +-
10 files changed, 110 insertions(+), 110 deletions(-)
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
index 91154b3fca4..1027ee845e9 100644
--- a/docs/dev/python/data.html
+++ b/docs/dev/python/data.html
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</pre></div>
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<p>… and infers the dataset’s schema (by default from the first file):</p>
@@ -1603,23 +1603,23 @@ this can require a lot of memory, see below on
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</pre></div>
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</pre></div>
</div>
</section>
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+<span class="go">7 7 1.295767</span>
+<span class="go">8 8 -1.025312</span>
+<span class="go">9 9 0.825199</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
@@ -1696,18 +1696,18 @@ 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">2 9 2.275540 2</span>
+<span class="go">0 7 1.295767 2</span>
+<span class="go">1 8 -1.025312 1</span>
+<span class="go">2 9 0.825199 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 -0.000601 2</span>
-<span class="go">1 3 1.688476 2</span>
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+<span class="go">2 5 1.249671 2</span>
+<span class="go">3 7 1.295767 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
@@ -1752,11 +1752,11 @@ 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 -1.802694 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1770,11 +1770,11 @@ 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 0.926818 2 False</span>
+<span class="go">4 4 -1.802694 1 False</span>
</pre></div>
</div>
</section>
@@ -1827,8 +1827,8 @@ 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/3c030bfc2e184488bafa294d629ea8c3-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/3c030bfc2e184488bafa294d629ea8c3-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/fe1fc54b6b2b4b24a12f5e2487433752-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/fe1fc54b6b2b4b24a12f5e2487433752-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1836,9 +1836,9 @@ 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 0.541627 1 a</span>
-<span class="go">1 1 0.542448 2 a</span>
-<span class="go">2 2 0.559217 1 a</span>
+<span class="go">0 0 1.971396 1 a</span>
+<span class="go">1 1 -0.643646 2 a</span>
+<span class="go">2 2 0.147241 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1846,11 +1846,11 @@ altogether if they do not match the filter:</p>
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [39]: </span><span
class="n">dataset</span><span class="o">.</span><span
class="n">to_table</span><span class="p">(</span><span
class="nb">filter</span><span class="o">=</span><span class="n">ds</span><span
class="o">.</span><span class="n">field</span><span class="p">(</span><span
class="s2">"part"</span><span class="p">)</span> <span
class="o">==</span> <span class="s2">&qu [...]
<span class="gh">Out[39]: </span>
<span class="go"> a b c part</span>
-<span class="go">0 5 -1.972017 2 b</span>
-<span class="go">1 6 -0.099566 1 b</span>
-<span class="go">2 7 0.599420 2 b</span>
-<span class="go">3 8 -1.396118 1 b</span>
-<span class="go">4 9 -0.888271 2 b</span>
+<span class="go">0 5 -0.716465 2 b</span>
+<span class="go">1 6 -1.246147 1 b</span>
+<span class="go">2 7 0.262170 2 b</span>
+<span class="go">3 8 0.394701 1 b</span>
+<span class="go">4 9 -2.149041 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -1982,19 +1982,19 @@ 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 -2.299486</span>
-<span class="go">1 2018 1 -1.191641</span>
-<span class="go">2 2018 2 0.302909</span>
-<span class="go">3 2019 0 -2.299486</span>
-<span class="go">4 2019 1 -1.191641</span>
-<span class="go">5 2019 2 0.302909</span>
+<span class="go">0 2018 0 -0.192287</span>
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+<span class="go">2 2018 2 0.751554</span>
+<span class="go">3 2019 0 -0.192287</span>
+<span class="go">4 2019 1 -0.483446</span>
+<span class="go">5 2019 2 0.751554</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 -2.299486</span>
-<span class="go">1 2019 1 -1.191641</span>
-<span class="go">2 2019 2 0.302909</span>
+<span class="go">0 2019 0 -0.192287</span>
+<span class="go">1 2019 1 -0.483446</span>
+<span class="go">2 2019 2 0.751554</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2246,7 +2246,7 @@ 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
0x7ff9991d7510></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f8984c00cc0></span>
<span class="go"> created_by: parquet-cpp-arrow version 22.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 2</span>
<span class="go"> num_rows: 5</span>
@@ -2255,7 +2255,7 @@ 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
0x7ff9991d7510></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f8987d71940></span>
<span class="go"> created_by: parquet-cpp-arrow version 22.0.0-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 caf799f1b18..bef6d792dd6 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1597,7 +1597,7 @@ 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
0x7ff968d6a740></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f895cac2a40></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 3ba4b0fb02a..4da529a0766 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1546,7 +1546,7 @@ 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=0x7ff967652c50 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7f895a3543d0 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>
@@ -1559,7 +1559,7 @@ 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
0x7ff9678596c0></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7f895a5e16c0></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
@@ -1758,7 +1758,7 @@ 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=0x7ffa034f6000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7f89f22ad000 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 a0b4a52330b..e9b9ab3184d 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1720,7 +1720,7 @@ 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
0x7ff9e671eb60></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f895a2d25c0></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1729,7 +1729,7 @@ 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 0x7ff9e671eb00></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7f895a2d2140></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1855,7 +1855,7 @@ converted to an Arrow <code class="docutils literal
notranslate"><span class="pr
<span class="gp">In [33]: </span><span class="n">arr</span>
<span class="gh">Out[33]: </span>
-<span class="go"><pyarrow.lib.Time64Array object at
0x7ff9e67c8940></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7f8987d50940></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 fcf136be447..293d9a71bb6 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1691,7 +1691,7 @@ 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
0x7ff96912c220></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f89d59db8d0></span>
<span class="go"> created_by: parquet-cpp-arrow version 22.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1701,7 +1701,7 @@ 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
0x7ff96779be00></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7f89d5804a40></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>
@@ -1759,7 +1759,7 @@ 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
0x7ff96912ffb0></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
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<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1773,7 +1773,7 @@ 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>
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0x7ff9676311c0></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7f89d5811ee0></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 282</span>
@@ -1781,7 +1781,7 @@ 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>
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0x7ff9e66994e0></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7f89d5812340></span>
<span class="go"> file_offset: 0</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1789,7 +1789,7 @@ 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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0x7ff9e6699580></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7f89d5948db0></span>
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index f6dc97e9272..96eb7a715e5 100644
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+++ 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: 2025-08-02T01:19Z
+last_built: 2025-08-03T01:26Z
urls:
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article: https://arrow.apache.org/docs/r/articles
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b/docs/dev/r/reference/to_arrow.html
index 8a162de7f42..1336915d943 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> 4 23.7</span>
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#BCBCBC;">2</span> 6 19.7</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">3</span> 8 15.1</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">1</span> 6 19.7</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">2</span> 8 15.1</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">3</span> 4 23.7</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of
contents"><h2>On this page</h2>
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