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The following commit(s) were added to refs/heads/asf-site by this push: new c5ae61359cb Updating dev docs (build nightly-tests-2025-04-28-0) c5ae61359cb is described below commit c5ae61359cbb198b0dfa18335c7c9e5a0277f25a Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com> AuthorDate: Tue Apr 29 00:32:53 2025 +0000 Updating dev docs (build nightly-tests-2025-04-28-0) --- 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/articles/data_wrangling.html | 24 +++--- docs/dev/r/pkgdown.yml | 2 +- docs/dev/r/reference/to_arrow.html | 6 +- docs/dev/r/reference/to_duckdb.html | 10 +-- docs/dev/r/search.json | 2 +- docs/dev/searchindex.js | 2 +- 12 files changed, 127 insertions(+), 127 deletions(-) diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html index c0b81d0a889..0e73b739058 100644 --- a/docs/dev/python/data.html +++ b/docs/dev/python/data.html @@ -1769,7 +1769,7 @@ for you:</p> <span class="gp">In [26]: </span><span class="n">arr</span> <span class="gh">Out[26]: </span> -<span class="go"><pyarrow.lib.Int64Array object at 0x7f36d39b1e40></span> +<span class="go"><pyarrow.lib.Int64Array object at 0x7fba403c77c0></span> <span class="go">[</span> <span class="go"> 1,</span> <span class="go"> 2,</span> @@ -1781,7 +1781,7 @@ for you:</p> <p>But you may also pass a specific data type to override type inference:</p> <div class="highlight-ipython notranslate"><div 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 class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">uint16</span><span class="p">())</span> <span class="gh">Out[27]: </span> -<span class="go"><pyarrow.lib.UInt16Array object at 0x7f36d0769de0></span> +<span class="go"><pyarrow.lib.UInt16Array object at 0x7fba3d061de0></span> <span class="go">[</span> <span class="go"> 1,</span> <span class="go"> 2</span> @@ -1816,7 +1816,7 @@ nulls:</p> <p>Arrays can be sliced without copying:</p> <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [33]: </span><span class="n">arr</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">3</span><span class="p">]</span> <span class="gh">Out[33]: </span> -<span class="go"><pyarrow.lib.Int64Array object at 0x7f36d064d9c0></span> +<span class="go"><pyarrow.lib.Int64Array object at 0x7fba3fc350c0></span> <span class="go">[</span> <span class="go"> 2,</span> <span class="go"> null</span> @@ -1869,7 +1869,7 @@ This allows for ListView arrays to specify out-of-order offsets:</p> <span class="gp">In [42]: </span><span class="n">arr</span> <span class="gh">Out[42]: </span> -<span class="go"><pyarrow.lib.ListViewArray object at 0x7f36d06c2920></span> +<span class="go"><pyarrow.lib.ListViewArray object at 0x7fba3cfba980></span> <span class="go">[</span> <span class="go"> [</span> <span class="go"> 5,</span> @@ -1894,7 +1894,7 @@ This allows for ListView arrays to specify out-of-order offsets:</p> dictionaries:</p> <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [43]: </span><span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">([{</span><span class="s1">'x'</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">'y'</span><span class="p">:</span> <span class="kc">True</span><span class="p">},</span> <span class="p">{</span><span class="s1">'z& [...] <span class="gh">Out[43]: </span> -<span class="go"><pyarrow.lib.StructArray object at 0x7f36d06c2e00></span> +<span class="go"><pyarrow.lib.StructArray object at 0x7fba3cfbac20></span> <span class="go">-- is_valid: all not null</span> <span class="go">-- child 0 type: int64</span> <span class="go"> [</span> @@ -1921,7 +1921,7 @@ you must explicitly pass the type:</p> <span class="gp">In [45]: </span><span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">([{</span><span class="s1">'x'</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">'y'</span><span class="p">:</span> <span class="kc">True</span><span class="p">},</span> <span class="p">{</span><span class="s1">'x'</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span [...] <span class="gh">Out[45]: </span> -<span class="go"><pyarrow.lib.StructArray object at 0x7f36d06c3400></span> +<span class="go"><pyarrow.lib.StructArray object at 0x7fba3cfbb160></span> <span class="go">-- is_valid: all not null</span> <span class="go">-- child 0 type: int8</span> <span class="go"> [</span> @@ -1936,7 +1936,7 @@ you must explicitly pass the type:</p> <span class="gp">In [46]: </span><span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">([(</span><span class="mi">3</span><span class="p">,</span> <span class="kc">True</span><span class="p">),</span> <span class="p">(</span><span class="mi">4</span><span class="p">,</span> <span class="kc">False</span><span class="p">)],</span> <span class="nb">type</span><span class="o">=</span><span class="n">ty</span><span class="p">)</span> <span class="gh">Out[46]: </span> -<span class="go"><pyarrow.lib.StructArray object at 0x7f36d06c3520></span> +<span class="go"><pyarrow.lib.StructArray object at 0x7fba3cfbb280></span> <span class="go">-- is_valid: all not null</span> <span class="go">-- child 0 type: int8</span> <span class="go"> [</span> @@ -1955,7 +1955,7 @@ level and at the individual field level. If initializing from a sequence of Python dicts, a missing dict key is handled as a null value:</p> <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [47]: </span><span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">([{</span><span class="s1">'x'</span><span class="p">:</span> <span class="mi">1</span><span class="p">},</span> <span class="kc">None</span><span class="p">,</span> <span class="p">{</span><span class="s1">'y'</span><span class="p">:</span> <span class="kc">None</s [...] <span class="gh">Out[47]: </span> -<span class="go"><pyarrow.lib.StructArray object at 0x7f36d06c3460></span> +<span class="go"><pyarrow.lib.StructArray object at 0x7fba3cfbb2e0></span> <span class="go">-- is_valid:</span> <span class="go"> [</span> <span class="go"> true,</span> @@ -1990,7 +1990,7 @@ individual arrays, and no copy is involved:</p> <span class="gp">In [52]: </span><span class="n">arr</span> <span class="gh">Out[52]: </span> -<span class="go"><pyarrow.lib.StructArray object at 0x7f36d06c3d60></span> +<span class="go"><pyarrow.lib.StructArray object at 0x7fba3cfbba60></span> <span class="go">-- is_valid: all not null</span> <span class="go">-- child 0 type: int16</span> <span class="go"> [</span> @@ -2017,7 +2017,7 @@ the type is explicitly passed into <a class="reference internal" href="generated <span class="gp">In [55]: </span><span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="nb">type</span><span class="o">=</span><span class="n">ty</span><span class="p">)</span> <span class="gh">Out[55]: </span> -<span class="go"><pyarrow.lib.MapArray object at 0x7f36d06c25c0></span> +<span class="go"><pyarrow.lib.MapArray object at 0x7fba3ce0c040></span> <span class="go">[</span> <span class="go"> keys:</span> <span class="go"> [</span> @@ -2051,7 +2051,7 @@ their row, use the <a class="reference internal" href="generated/pyarrow.ListArr <span class="gp">In [57]: </span><span class="n">arr</span><span class="o">.</span><span class="n">keys</span> <span class="gh">Out[57]: </span> -<span class="go"><pyarrow.lib.StringArray object at 0x7f36d0510520></span> +<span class="go"><pyarrow.lib.StringArray object at 0x7fba3cfbbd60></span> <span class="go">[</span> <span class="go"> "x",</span> <span class="go"> "y",</span> @@ -2060,7 +2060,7 @@ their row, use the <a class="reference internal" href="generated/pyarrow.ListArr <span class="gp">In [58]: </span><span class="n">arr</span><span class="o">.</span><span class="n">items</span> <span class="gh">Out[58]: </span> -<span class="go"><pyarrow.lib.Int64Array object at 0x7f36d0510640></span> +<span class="go"><pyarrow.lib.Int64Array object at 0x7fba3ce0c1c0></span> <span class="go">[</span> <span class="go"> 4,</span> <span class="go"> 5,</span> @@ -2069,7 +2069,7 @@ their row, use the <a class="reference internal" href="generated/pyarrow.ListArr <span class="gp">In [59]: </span><span class="n">pa</span><span class="o">.</span><span class="n">ListArray</span><span class="o">.</span><span class="n">from_arrays</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">offsets</span><span class="p">,</span> <span class="n">arr</span><span class="o">.</span><span class="n">keys</span><span class="p">)</span> <span class="gh">Out[59]: </span> -<span class="go"><pyarrow.lib.ListArray object at 0x7f36d0510880></span> +<span class="go"><pyarrow.lib.ListArray object at 0x7fba3ce0c5e0></span> <span class="go">[</span> <span class="go"> [</span> <span class="go"> "x",</span> @@ -2082,7 +2082,7 @@ their row, use the <a class="reference internal" href="generated/pyarrow.ListArr <span class="gp">In [60]: </span><span class="n">pa</span><span class="o">.</span><span class="n">ListArray</span><span class="o">.</span><span class="n">from_arrays</span><span class="p">(</span><span class="n">arr</span><span class="o">.</span><span class="n">offsets</span><span class="p">,</span> <span class="n">arr</span><span class="o">.</span><span class="n">items</span><span class="p">)</span> <span class="gh">Out[60]: </span> -<span class="go"><pyarrow.lib.ListArray object at 0x7f36d0510d60></span> +<span class="go"><pyarrow.lib.ListArray object at 0x7fba3ce0c580></span> <span class="go">[</span> <span class="go"> [</span> <span class="go"> 4,</span> @@ -2117,7 +2117,7 @@ selected:</p> <span class="gp">In [66]: </span><span class="n">union_arr</span> <span class="gh">Out[66]: </span> -<span class="go"><pyarrow.lib.UnionArray object at 0x7f36d0510dc0></span> +<span class="go"><pyarrow.lib.UnionArray object at 0x7fba3ce0cd60></span> <span class="go">-- is_valid: all not null</span> <span class="go">-- type_ids: [</span> <span class="go"> 0,</span> @@ -2156,7 +2156,7 @@ each offset in the selected child array it can be found:</p> <span class="gp">In [73]: </span><span class="n">union_arr</span> <span class="gh">Out[73]: </span> -<span class="go"><pyarrow.lib.UnionArray object at 0x7f36d05112a0></span> +<span class="go"><pyarrow.lib.UnionArray object at 0x7fba3ce0d1e0></span> <span class="go">-- is_valid: all not null</span> <span class="go">-- type_ids: [</span> <span class="go"> 0,</span> @@ -2205,7 +2205,7 @@ consider an example:</p> <span class="gp">In [77]: </span><span class="n">dict_array</span> <span class="gh">Out[77]: </span> -<span class="go"><pyarrow.lib.DictionaryArray object at 0x7f36d284b0d0></span> +<span class="go"><pyarrow.lib.DictionaryArray object at 0x7fba3f2bb220></span> <span class="go">-- dictionary:</span> <span class="go"> [</span> @@ -2232,7 +2232,7 @@ consider an example:</p> <span class="gp">In [79]: </span><span class="n">dict_array</span><span class="o">.</span><span class="n">indices</span> <span class="gh">Out[79]: </span> -<span class="go"><pyarrow.lib.Int64Array object at 0x7f36d0511ba0></span> +<span class="go"><pyarrow.lib.Int64Array object at 0x7fba3ce0d9c0></span> <span class="go">[</span> <span class="go"> 0,</span> <span class="go"> 1,</span> @@ -2246,7 +2246,7 @@ consider an example:</p> <span class="gp">In [80]: </span><span class="n">dict_array</span><span class="o">.</span><span class="n">dictionary</span> <span class="gh">Out[80]: </span> -<span class="go"><pyarrow.lib.StringArray object at 0x7f36d0511c00></span> +<span class="go"><pyarrow.lib.StringArray object at 0x7fba3ce0db40></span> <span class="go">[</span> <span class="go"> "foo",</span> <span class="go"> "bar",</span> @@ -2302,7 +2302,7 @@ instances. Let’s consider a collection of arrays:</p> <span class="gp">In [87]: </span><span class="n">batch</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="gh">Out[87]: </span> -<span class="go"><pyarrow.lib.StringArray object at 0x7f36d06c31c0></span> +<span class="go"><pyarrow.lib.StringArray object at 0x7fba3ce0ea40></span> <span class="go">[</span> <span class="go"> "foo",</span> <span class="go"> "bar",</span> @@ -2316,7 +2316,7 @@ instances. Let’s consider a collection of arrays:</p> <span class="gp">In [89]: </span><span class="n">batch2</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="gh">Out[89]: </span> -<span class="go"><pyarrow.lib.StringArray object at 0x7f36d0512aa0></span> +<span class="go"><pyarrow.lib.StringArray object at 0x7fba3cfbab00></span> <span class="go">[</span> <span class="go"> "bar",</span> <span class="go"> "baz",</span> @@ -2360,7 +2360,7 @@ container for one or more arrays of the same type.</p> <span class="gp">In [95]: </span><span class="n">c</span> <span class="gh">Out[95]: </span> -<span class="go"><pyarrow.lib.ChunkedArray object at 0x7f36d0512bc0></span> +<span class="go"><pyarrow.lib.ChunkedArray object at 0x7fba3ce0c340></span> <span class="go">[</span> <span class="go"> [</span> <span class="go"> 1,</span> @@ -2394,7 +2394,7 @@ container for one or more arrays of the same type.</p> <span class="gp">In [97]: </span><span class="n">c</span><span class="o">.</span><span class="n">chunk</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> <span class="gh">Out[97]: </span> -<span class="go"><pyarrow.lib.Int64Array object at 0x7f36d05131c0></span> +<span class="go"><pyarrow.lib.Int64Array object at 0x7fba3ce0f2e0></span> <span class="go">[</span> <span class="go"> 1,</span> <span class="go"> 2,</span> diff --git a/docs/dev/python/dataset.html b/docs/dev/python/dataset.html index 939283fe652..e1927c48054 100644 --- a/docs/dev/python/dataset.html +++ b/docs/dev/python/dataset.html @@ -1670,7 +1670,7 @@ can pass it the path to the directory containing the data files:</p> <span class="gp">In [12]: </span><span class="n">dataset</span> <span class="o">=</span> <span class="n">ds</span><span class="o">.</span><span class="n">dataset</span><span class="p">(</span><span class="n">base</span> <span class="o">/</span> <span class="s2">"parquet_dataset"</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="s2">"parquet"</span><span class="p">)</span> <span class="gp">In [13]: </span><span class="n">dataset</span> -<span class="gh">Out[13]: </span><span class="go"><pyarrow._dataset.FileSystemDataset at 0x7f36d0529900></span> +<span class="gh">Out[13]: </span><span class="go"><pyarrow._dataset.FileSystemDataset at 0x7fba3ce25960></span> </pre></div> </div> <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 @@ -1679,8 +1679,8 @@ single file or a list of file paths.</p> needed, it only crawls the directory to find all the files:</p> <div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [14]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">files</span> <span class="gh">Out[14]: </span> -<span class="go">['/tmp/pyarrow-ww_0kq29/parquet_dataset/data1.parquet',</span> -<span class="go"> '/tmp/pyarrow-ww_0kq29/parquet_dataset/data2.parquet']</span> +<span class="go">['/tmp/pyarrow-8cx6pstw/parquet_dataset/data1.parquet',</span> +<span class="go"> '/tmp/pyarrow-8cx6pstw/parquet_dataset/data2.parquet']</span> </pre></div> </div> <p>… and infers the dataset’s schema (by default from the first file):</p> @@ -1701,23 +1701,23 @@ 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]] -<span class="ne">b</span>: [[-1.6947398301889347,0.22229322601312257,-0.02891459672751877,-0.9947950485601184,0.5180936122133496],[-2.0938981832707726,1.8290257025971148,-1.3215355148010137,1.3977100834017682,-0.01272353394456234]] +<span class="ne">b</span>: [[0.09996572273525868,0.8421773528512836,0.027971127158705096,0.1903344860795592,-1.2609657794804547],[1.1694036975615816,-1.046659978956761,-1.1713572680714477,0.019662527938387145,-0.2946278577437969]] <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 table</span> <span class="gp">In [17]: </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[17]: </span> <span class="go"> a b c</span> -<span class="go">0 0 -1.694740 1</span> -<span class="go">1 1 0.222293 2</span> -<span class="go">2 2 -0.028915 1</span> -<span class="go">3 3 -0.994795 2</span> -<span class="go">4 4 0.518094 1</span> -<span class="go">5 5 -2.093898 2</span> -<span class="go">6 6 1.829026 1</span> -<span class="go">7 7 -1.321536 2</span> -<span class="go">8 8 1.397710 1</span> -<span class="go">9 9 -0.012724 2</span> +<span class="go">0 0 0.099966 1</span> +<span class="go">1 1 0.842177 2</span> +<span class="go">2 2 0.027971 1</span> +<span class="go">3 3 0.190334 2</span> +<span class="go">4 4 -1.260966 1</span> +<span class="go">5 5 1.169404 2</span> +<span class="go">6 6 -1.046660 1</span> +<span class="go">7 7 -1.171357 2</span> +<span class="go">8 8 0.019663 1</span> +<span class="go">9 9 -0.294628 2</span> </pre></div> </div> </section> @@ -1740,11 +1740,11 @@ 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 -1.694740 1</span> -<span class="go">1 1 0.222293 2</span> -<span class="go">2 2 -0.028915 1</span> -<span class="go">3 3 -0.994795 2</span> -<span class="go">4 4 0.518094 1</span> +<span class="go">0 0 0.099966 1</span> +<span class="go">1 1 0.842177 2</span> +<span class="go">2 2 0.027971 1</span> +<span class="go">3 3 0.190334 2</span> +<span class="go">4 4 -1.260966 1</span> </pre></div> </div> </section> @@ -1776,16 +1776,16 @@ 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 -1.694740</span> -<span class="go">1 1 0.222293</span> -<span class="go">2 2 -0.028915</span> -<span class="go">3 3 -0.994795</span> -<span class="go">4 4 0.518094</span> -<span class="go">5 5 -2.093898</span> -<span class="go">6 6 1.829026</span> -<span class="go">7 7 -1.321536</span> -<span class="go">8 8 1.397710</span> -<span class="go">9 9 -0.012724</span> +<span class="go">0 0 0.099966</span> +<span class="go">1 1 0.842177</span> +<span class="go">2 2 0.027971</span> +<span class="go">3 3 0.190334</span> +<span class="go">4 4 -1.260966</span> +<span class="go">5 5 1.169404</span> +<span class="go">6 6 -1.046660</span> +<span class="go">7 7 -1.171357</span> +<span class="go">8 8 0.019663</span> +<span class="go">9 9 -0.294628</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 @@ -1794,18 +1794,18 @@ 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 -1.321536 2</span> -<span class="go">1 8 1.397710 1</span> -<span class="go">2 9 -0.012724 2</span> +<span class="go">0 7 -1.171357 2</span> +<span class="go">1 8 0.019663 1</span> +<span class="go">2 9 -0.294628 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 0.222293 2</span> -<span class="go">1 3 -0.994795 2</span> -<span class="go">2 5 -2.093898 2</span> -<span class="go">3 7 -1.321536 2</span> -<span class="go">4 9 -0.012724 2</span> +<span class="go">0 1 0.842177 2</span> +<span class="go">1 3 0.190334 2</span> +<span class="go">2 5 1.169404 2</span> +<span class="go">3 7 -1.171357 2</span> +<span class="go">4 9 -0.294628 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 @@ -1850,11 +1850,11 @@ values:</p> <span class="gp">In [30]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">to_table</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="n">projection</span><span class="p">)</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span><span class="o">.</span><span class="n">head</span><span class="p">()</span> <span class="gh">Out[30]: </span> <span class="go"> a_renamed b_as_float32 c_1</span> -<span class="go">0 0 -1.694740 True</span> -<span class="go">1 1 0.222293 False</span> -<span class="go">2 2 -0.028915 True</span> -<span class="go">3 3 -0.994795 False</span> -<span class="go">4 4 0.518094 True</span> +<span class="go">0 0 0.099966 True</span> +<span class="go">1 1 0.842177 False</span> +<span class="go">2 2 0.027971 True</span> +<span class="go">3 3 0.190334 False</span> +<span class="go">4 4 -1.260966 True</span> </pre></div> </div> <p>The dictionary also determines the column selection (only the keys in the @@ -1868,11 +1868,11 @@ 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> -<span class="go">0 0 -1.694740 1 False</span> -<span class="go">1 1 0.222293 2 False</span> -<span class="go">2 2 -0.028915 1 False</span> -<span class="go">3 3 -0.994795 2 False</span> -<span class="go">4 4 0.518094 1 False</span> +<span class="go">0 0 0.099966 1 False</span> +<span class="go">1 1 0.842177 2 False</span> +<span class="go">2 2 0.027971 1 False</span> +<span class="go">3 3 0.190334 2 False</span> +<span class="go">4 4 -1.260966 1 False</span> </pre></div> </div> </section> @@ -1925,8 +1925,8 @@ 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/8e449eeb17594d1596cc4cf4ff93e77b-0.parquet',</span> -<span class="go"> 'parquet_dataset_partitioned/part=b/8e449eeb17594d1596cc4cf4ff93e77b-0.parquet']</span> +<span class="go">['parquet_dataset_partitioned/part=a/177a132d113e46bc824145e3b6e2c2e9-0.parquet',</span> +<span class="go"> 'parquet_dataset_partitioned/part=b/177a132d113e46bc824145e3b6e2c2e9-0.parquet']</span> </pre></div> </div> <p>Although the partition fields are not included in the actual Parquet files, @@ -1934,9 +1934,9 @@ 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 0.080360 1 a</span> -<span class="go">1 1 1.135214 2 a</span> -<span class="go">2 2 -0.179015 1 a</span> +<span class="go">0 0 -1.474883 1 a</span> +<span class="go">1 1 1.113174 2 a</span> +<span class="go">2 2 0.010963 1 a</span> </pre></div> </div> <p>We can now filter on the partition keys, which avoids loading files @@ -1944,11 +1944,11 @@ 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 0.801269 2 b</span> -<span class="go">1 6 -0.333216 1 b</span> -<span class="go">2 7 1.541290 2 b</span> -<span class="go">3 8 -0.445731 1 b</span> -<span class="go">4 9 -0.231076 2 b</span> +<span class="go">0 5 0.371627 2 b</span> +<span class="go">1 6 -2.000332 1 b</span> +<span class="go">2 7 -0.346756 2 b</span> +<span class="go">3 8 -0.610248 1 b</span> +<span class="go">4 9 0.514581 2 b</span> </pre></div> </div> <section id="different-partitioning-schemes"> @@ -2080,19 +2080,19 @@ 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 -1.401735</span> -<span class="go">1 2018 1 -0.795747</span> -<span class="go">2 2018 2 0.470591</span> -<span class="go">3 2019 0 -1.401735</span> -<span class="go">4 2019 1 -0.795747</span> -<span class="go">5 2019 2 0.470591</span> +<span class="go">0 2018 0 -1.483301</span> +<span class="go">1 2018 1 0.422319</span> +<span class="go">2 2018 2 -1.483638</span> +<span class="go">3 2019 0 -1.483301</span> +<span class="go">4 2019 1 0.422319</span> +<span class="go">5 2019 2 -1.483638</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 -1.401735</span> -<span class="go">1 2019 1 -0.795747</span> -<span class="go">2 2019 2 0.470591</span> +<span class="go">0 2019 0 -1.483301</span> +<span class="go">1 2019 1 0.422319</span> +<span class="go">2 2019 2 -1.483638</span> </pre></div> </div> <p>Another benefit of manually listing the files is that the order of the files @@ -2344,7 +2344,7 @@ 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 0x7f36d3392890></span> +<span class="go">metadata=<pyarrow._parquet.FileMetaData object at 0x7fba3ce62f70></span> <span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span> <span class="go"> num_columns: 2</span> <span class="go"> num_rows: 5</span> @@ -2353,7 +2353,7 @@ 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 0x7f36d3392890></span> +<span class="go">metadata=<pyarrow._parquet.FileMetaData object at 0x7fba3ce62f70></span> <span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span> <span class="go"> num_columns: 2</span> <span class="go"> num_rows: 5</span> diff --git a/docs/dev/python/getstarted.html b/docs/dev/python/getstarted.html index 19b067c415d..116bf7dbf48 100644 --- a/docs/dev/python/getstarted.html +++ b/docs/dev/python/getstarted.html @@ -1695,7 +1695,7 @@ 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 0x7f36a0c6ec80></span> +<span class="go"><pyarrow.lib.StructArray object at 0x7fba125eec80></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 c0771e0a86e..8b26877eeff 100644 --- a/docs/dev/python/memory.html +++ b/docs/dev/python/memory.html @@ -1644,7 +1644,7 @@ 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=0x7f36a051dcd0 size=26 is_cpu=True is_mutable=False></span> +<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer address=0x7fba10eba9d0 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> @@ -1657,7 +1657,7 @@ 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 0x7f36a0a49cc0></span> +<span class="gh">Out[6]: </span><span class="go"><memory at 0x7fba113c5cc0></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 @@ -1856,7 +1856,7 @@ 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=0x7f3736b6f000 size=4 is_cpu=True is_mutable=False></span> +<span class="go"><pyarrow.Buffer address=0x7fbaa387d000 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 24aecc568c9..5bc290f405b 100644 --- a/docs/dev/python/pandas.html +++ b/docs/dev/python/pandas.html @@ -1818,7 +1818,7 @@ 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 0x7f36a06a5ba0></span> +<span class="go"><pyarrow.lib.StringArray object at 0x7fba10ebfa60></span> <span class="go">[</span> <span class="go"> "a",</span> <span class="go"> "b",</span> @@ -1827,7 +1827,7 @@ 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 0x7f36a06a6620></span> +<span class="go"><pyarrow.lib.Int8Array object at 0x7fba125ef7c0></span> <span class="go">[</span> <span class="go"> 0,</span> <span class="go"> 1,</span> @@ -1953,7 +1953,7 @@ 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 0x7f371bfba320></span> +<span class="go"><pyarrow.lib.Time64Array object at 0x7fba10ebf580></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 bba627fb4f5..582f86c6dd4 100644 --- a/docs/dev/python/parquet.html +++ b/docs/dev/python/parquet.html @@ -1789,7 +1789,7 @@ 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 0x7f371be1ff10></span> +<span class="go"><pyarrow._parquet.FileMetaData object at 0x7fba89baff10></span> <span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span> <span class="go"> num_columns: 4</span> <span class="go"> num_rows: 3</span> @@ -1799,7 +1799,7 @@ 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 0x7f371be639c0></span> +<span class="go"><pyarrow._parquet.ParquetSchema object at 0x7fba127df240></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> @@ -1857,7 +1857,7 @@ 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 0x7f371be1cf40></span> +<span class="go"><pyarrow._parquet.FileMetaData object at 0x7fba135621b0></span> <span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span> <span class="go"> num_columns: 4</span> <span class="go"> num_rows: 3</span> @@ -1871,7 +1871,7 @@ 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 0x7f371be7e8e0></span> +<span class="go"><pyarrow._parquet.RowGroupMetaData object at 0x7fba89a122f0></span> <span class="go"> num_columns: 4</span> <span class="go"> num_rows: 3</span> <span class="go"> total_byte_size: 282</span> @@ -1879,7 +1879,7 @@ 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 0x7f371be7eb10></span> +<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at 0x7fba89b11da0></span> <span class="go"> file_offset: 0</span> <span class="go"> file_path: </span> <span class="go"> physical_type: DOUBLE</span> @@ -1887,7 +1887,7 @@ 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 0x7f371be7ebb0></span> +<span class="go"> <pyarrow._parquet.Statistics object at 0x7fba89a12430></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 958198ed3cc..d46b10bc2e0 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> <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>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;"> 8</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;"> 9</span> <span style="color: #949494;">"</span>Ackbar<span style="color: #949494;">"</span> 180 83 none </span></span> -<span><span class="co">## <span style="color: #BCBCBC;">10</span> <span style="color: #949494;">"</span>Nien Nunb<span style="color: #949494;">"</span> 160 68 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> Yoda 66 17 white </span></span> +<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> Watto 137 <span style="color: #BB0000;">NA</span> black </span></span> +<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> Shmi Skywalker 163 <span style="color: #BB0000;">NA</span> black </span></span> +<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> Eeth Koth 171 <span style="color: #BB0000;">NA</span> black </span></span> +<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> Luminara Unduli 170 56.2 black </span></span> +<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> Barriss Offee 166 50 black </span></span> +<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> Leia Organa 150 49 brown </span></span> +<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> Beru Whitesun Lars 165 75 brown </span></span> +<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> Wedge Antilles 170 77 brown </span></span> +<span><span class="co">## <span style="color: #BCBCBC;">10</span> Wicket Systri Warrick 88 20 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 cea7b9e8abc..3686cae23e4 100644 --- a/docs/dev/r/pkgdown.yml +++ b/docs/dev/r/pkgdown.yml @@ -21,7 +21,7 @@ articles: read_write: read_write.html developers/setup: developers/setup.html developers/workflow: developers/workflow.html -last_built: 2025-04-27T01:13Z +last_built: 2025-04-28T01:15Z urls: reference: https://arrow.apache.org/docs/r/reference article: https://arrow.apache.org/docs/r/articles diff --git a/docs/dev/r/reference/to_arrow.html b/docs/dev/r/reference/to_arrow.html index e6d8e37841e..5f0a74b5acb 100644 --- a/docs/dev/r/reference/to_arrow.html +++ b/docs/dev/r/reference/to_arrow.html @@ -121,9 +121,9 @@ result to materialize the entire Table in-memory.</p> <span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># A tibble: 3 x 2</span></span> <span class="r-out co"><span class="r-pr">#></span> cyl mean_mpg</span> <span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span></span> -<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> 6 19.7</span> -<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> 8 15.1</span> -<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">3</span> 4 23.7</span> +<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> 4 23.7</span> +<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> 6 19.7</span> +<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">3</span> 8 15.1</span> </code></pre></div> </div> </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2> diff --git a/docs/dev/r/reference/to_duckdb.html b/docs/dev/r/reference/to_duckdb.html index dbef8e3ee12..34c1f414385 100644 --- a/docs/dev/r/reference/to_duckdb.html +++ b/docs/dev/r/reference/to_duckdb.html @@ -145,11 +145,11 @@ using them.</p> <span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Groups: cyl</span></span> <span class="r-out co"><span class="r-pr">#></span> mpg cyl disp hp drat wt qsec vs am gear carb</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 style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: # [...] -<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> 16.4 8 276. 180 3.07 4.07 17.4 0 0 3 3</span> -<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> 17.3 8 276. 180 3.07 3.73 17.6 0 0 3 3</span> -<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">3</span> 15.2 8 276. 180 3.07 3.78 18 0 0 3 3</span> -<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">4</span> 27.3 4 79 66 4.08 1.94 18.9 1 1 4 1</span> -<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">5</span> 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6</span> +<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6</span> +<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> 16.4 8 276. 180 3.07 4.07 17.4 0 0 3 3</span> +<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">3</span> 17.3 8 276. 180 3.07 3.73 17.6 0 0 3 3</span> +<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">4</span> 15.2 8 276. 180 3.07 3.78 18 0 0 3 3</span> +<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">5</span> 27.3 4 79 66 4.08 1.94 18.9 1 1 4 1</span> </code></pre></div> </div> </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2> diff --git a/docs/dev/r/search.json b/docs/dev/r/search.json index 953683c473b..1e7068546f8 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 Arrow release process see Apache Arrow Release Management Guide.","code":""},{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":"before-the-arrow-release-candidate-is-created","dir":"","previous_headings":"","what":"Before the Arrow Release Candidate Is Create [...] +[{"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 Arrow release process see Apache Arrow Release Management Guide.","code":""},{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":"before-the-arrow-release-candidate-is-created","dir":"","previous_headings":"","what":"Before the Arrow Release Candidate Is Create [...] diff --git a/docs/dev/searchindex.js b/docs/dev/searchindex.js index e6296a5d7bd..5c1017498fb 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", "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