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new 287b704eff3 Updating dev docs (build nightly-tests-2025-05-05-0)
287b704eff3 is described below
commit 287b704eff394338f41e2d27b706c4ef6f4d2206
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Tue May 6 00:33:01 2025 +0000
Updating dev docs (build nightly-tests-2025-05-05-0)
---
docs/dev/python/data.html | 46 ++++++------
docs/dev/python/dataset.html | 136 ++++++++++++++++++------------------
docs/dev/python/getstarted.html | 2 +-
docs/dev/python/memory.html | 6 +-
docs/dev/python/pandas.html | 6 +-
docs/dev/python/parquet.html | 12 ++--
docs/dev/r/pkgdown.yml | 2 +-
docs/dev/r/reference/to_duckdb.html | 10 +--
docs/dev/r/search.json | 2 +-
docs/dev/searchindex.js | 2 +-
10 files changed, 112 insertions(+), 112 deletions(-)
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
index d93b962803b..01c775168f5 100644
--- a/docs/dev/python/data.html
+++ b/docs/dev/python/data.html
@@ -1768,7 +1768,7 @@ for you:</p>
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<span class="go">[</span>
<span class="go"> 1,</span>
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@@ -1780,7 +1780,7 @@ for you:</p>
<p>But you may also pass a specific data type to override type inference:</p>
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@@ -1954,7 +1954,7 @@ 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="go"><pyarrow.lib.ListArray object at 0x7f5ee72bc460></span>
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-<span class="go"><pyarrow.lib.UnionArray object at 0x7f5ee7287a00></span>
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<span class="gh">Out[73]: </span>
-<span class="go"><pyarrow.lib.UnionArray object at 0x7f5ee7285120></span>
+<span class="go"><pyarrow.lib.UnionArray object at 0x7f58ef894b20></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- type_ids: [</span>
<span class="go"> 0,</span>
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-<span class="go"><pyarrow.lib.DictionaryArray object at
0x7f5ee72c5690></span>
+<span class="go"><pyarrow.lib.DictionaryArray object at
0x7f58ef88d690></span>
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-<span class="go"><pyarrow.lib.Int64Array object at 0x7f5ee72bd6c0></span>
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<span class="go">[</span>
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@@ -2245,7 +2245,7 @@ consider an example:</p>
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diff --git a/docs/dev/python/dataset.html b/docs/dev/python/dataset.html
index c1b7634304b..31c96af7894 100644
--- a/docs/dev/python/dataset.html
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@@ -1669,7 +1669,7 @@ 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
notranslate"><span class="pre">dataset()</span></code></a> accepts a path to a
@@ -1678,8 +1678,8 @@ 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>
@@ -1700,23 +1700,23 @@ 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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[[-0.29661163882062397,-0.0738717453734105,-0.8817115179976075,1.8113063584543418,0.3316123865420777],[0.9809148738926573,0.27433656637260945,0.39409999389234085,-0.7943838548574154,-0.3440866411433188]]
+<span class="ne">b</span>:
[[0.7314976416343612,0.8274213873858796,0.5796184125481418,0.8500080942871261,0.43274516221185694],[-1.385484540308612,-1.6791243881302913,-0.15946088266865463,0.01242401453957788,-1.719980635452728]]
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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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<span class="gh">Out[17]: </span>
<span class="go"> a b c</span>
-<span class="go">0 0 -0.296612 1</span>
-<span class="go">1 1 -0.073872 2</span>
-<span class="go">2 2 -0.881712 1</span>
-<span class="go">3 3 1.811306 2</span>
-<span class="go">4 4 0.331612 1</span>
-<span class="go">5 5 0.980915 2</span>
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-<span class="go">7 7 0.394100 2</span>
-<span class="go">8 8 -0.794384 1</span>
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+<span class="go">1 1 0.827421 2</span>
+<span class="go">2 2 0.579618 1</span>
+<span class="go">3 3 0.850008 2</span>
+<span class="go">4 4 0.432745 1</span>
+<span class="go">5 5 -1.385485 2</span>
+<span class="go">6 6 -1.679124 1</span>
+<span class="go">7 7 -0.159461 2</span>
+<span class="go">8 8 0.012424 1</span>
+<span class="go">9 9 -1.719981 2</span>
</pre></div>
</div>
</section>
@@ -1739,11 +1739,11 @@ 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 -0.296612 1</span>
-<span class="go">1 1 -0.073872 2</span>
-<span class="go">2 2 -0.881712 1</span>
-<span class="go">3 3 1.811306 2</span>
-<span class="go">4 4 0.331612 1</span>
+<span class="go">0 0 0.731498 1</span>
+<span class="go">1 1 0.827421 2</span>
+<span class="go">2 2 0.579618 1</span>
+<span class="go">3 3 0.850008 2</span>
+<span class="go">4 4 0.432745 1</span>
</pre></div>
</div>
</section>
@@ -1775,16 +1775,16 @@ 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="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 -0.073872</span>
-<span class="go">2 2 -0.881712</span>
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+<span class="go">5 5 -1.385485</span>
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+<span class="go">7 7 -0.159461</span>
+<span class="go">8 8 0.012424</span>
+<span class="go">9 9 -1.719981</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
@@ -1793,18 +1793,18 @@ 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 -0.794384 1</span>
-<span class="go">2 9 -0.344087 2</span>
+<span class="go">0 7 -0.159461 2</span>
+<span class="go">1 8 0.012424 1</span>
+<span class="go">2 9 -1.719981 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 -0.073872 2</span>
-<span class="go">1 3 1.811306 2</span>
-<span class="go">2 5 0.980915 2</span>
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+<span class="go">0 1 0.827421 2</span>
+<span class="go">1 3 0.850008 2</span>
+<span class="go">2 5 -1.385485 2</span>
+<span class="go">3 7 -0.159461 2</span>
+<span class="go">4 9 -1.719981 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
@@ -1849,11 +1849,11 @@ values:</p>
<span class="gp">In [30]: </span><span class="n">dataset</span><span
class="o">.</span><span class="n">to_table</span><span class="p">(</span><span
class="n">columns</span><span class="o">=</span><span
class="n">projection</span><span class="p">)</span><span
class="o">.</span><span class="n">to_pandas</span><span
class="p">()</span><span class="o">.</span><span class="n">head</span><span
class="p">()</span>
<span class="gh">Out[30]: </span>
<span class="go"> a_renamed b_as_float32 c_1</span>
-<span class="go">0 0 -0.296612 True</span>
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-<span class="go">3 3 1.811306 False</span>
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+<span class="go">2 2 0.579618 True</span>
+<span class="go">3 3 0.850008 False</span>
+<span class="go">4 4 0.432745 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1867,11 +1867,11 @@ 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 -0.881712 1 False</span>
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+<span class="go">2 2 0.579618 1 False</span>
+<span class="go">3 3 0.850008 2 False</span>
+<span class="go">4 4 0.432745 1 False</span>
</pre></div>
</div>
</section>
@@ -1924,8 +1924,8 @@ 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/da0f174de83f408ea7147c0178b852bf-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/da0f174de83f408ea7147c0178b852bf-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/f5e69b3997104e57a36ed53162f14335-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/f5e69b3997104e57a36ed53162f14335-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1933,9 +1933,9 @@ 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 -0.036386 1 a</span>
-<span class="go">1 1 0.411252 2 a</span>
-<span class="go">2 2 -1.193685 1 a</span>
+<span class="go">0 0 -1.347070 1 a</span>
+<span class="go">1 1 -0.425108 2 a</span>
+<span class="go">2 2 -1.150340 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1943,11 +1943,11 @@ 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 1.354306 2 b</span>
-<span class="go">1 6 1.886533 1 b</span>
-<span class="go">2 7 -0.524019 2 b</span>
-<span class="go">3 8 0.321454 1 b</span>
-<span class="go">4 9 0.626055 2 b</span>
+<span class="go">0 5 0.545380 2 b</span>
+<span class="go">1 6 -2.133267 1 b</span>
+<span class="go">2 7 0.422311 2 b</span>
+<span class="go">3 8 0.032341 1 b</span>
+<span class="go">4 9 -0.410589 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -2079,19 +2079,19 @@ 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 -1.183033</span>
-<span class="go">1 2018 1 -1.027572</span>
-<span class="go">2 2018 2 -0.473327</span>
-<span class="go">3 2019 0 -1.183033</span>
-<span class="go">4 2019 1 -1.027572</span>
-<span class="go">5 2019 2 -0.473327</span>
+<span class="go">0 2018 0 -0.281419</span>
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+<span class="go">3 2019 0 -0.281419</span>
+<span class="go">4 2019 1 -0.618210</span>
+<span class="go">5 2019 2 2.599038</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 -1.183033</span>
-<span class="go">1 2019 1 -1.027572</span>
-<span class="go">2 2019 2 -0.473327</span>
+<span class="go">0 2019 0 -0.281419</span>
+<span class="go">1 2019 1 -0.618210</span>
+<span class="go">2 2019 2 2.599038</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2343,7 +2343,7 @@ 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
0x7f5ee2020810></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f58ef85f470></span>
<span class="go"> created_by: parquet-cpp-arrow version 21.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 2</span>
<span class="go"> num_rows: 5</span>
@@ -2352,7 +2352,7 @@ 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
0x7f5ee71c2ed0></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f58ef85f470></span>
<span class="go"> created_by: parquet-cpp-arrow version 21.0.0-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 d5bbddf9787..25552eea148 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1694,7 +1694,7 @@ 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
0x7f5ebcd97d60></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f58c0253b80></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 58be6c86da4..662de353078 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1643,7 +1643,7 @@ 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=0x7f5eb9970f90 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7f58bee1b710 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>
@@ -1656,7 +1656,7 @@ 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
0x7f5eb9a95240></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7f58bef55240></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
@@ -1855,7 +1855,7 @@ 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=0x7f5f4e02f000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7f59562fe000 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 de857f0e4d0..8d6883c223e 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1817,7 +1817,7 @@ 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
0x7f5f33f498a0></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f58bc785e40></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1826,7 +1826,7 @@ 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 0x7f5f33f496c0></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7f58bc7860e0></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1952,7 +1952,7 @@ 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
0x7f5f33f4b460></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7f58bc787940></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 7afec53cf48..47b37903bcb 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1788,7 +1788,7 @@ 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
0x7f5eb995ecf0></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f58c0264fe0></span>
<span class="go"> created_by: parquet-cpp-arrow version 21.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1798,7 +1798,7 @@ 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
0x7f5f33e1be80></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7f593bfd6e00></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>
@@ -1856,7 +1856,7 @@ 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
0x7f5f33e30a90></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
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<span class="go"> created_by: parquet-cpp-arrow version 21.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1870,7 +1870,7 @@ 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
0x7f5f33e31300></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7f58bee0cea0></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 282</span>
@@ -1878,7 +1878,7 @@ 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
0x7f5f33e31530></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7f593bfed210></span>
<span class="go"> file_offset: 0</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1886,7 +1886,7 @@ such as the row groups and column chunk metadata and
statistics:</p>
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<span class="go"> is_stats_set: True</span>
<span class="go"> statistics:</span>
-<span class="go"> <pyarrow._parquet.Statistics object at
0x7f5f33e315d0></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7f593bfed2b0></span>
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</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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