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<div class="quarto-title">
<h1 class="title">Benchmarking</h1>
</div>
<div class="quarto-title-meta">
</div>
</header>
<div id="f45e7802" class="cell" data-execution_count="1">
<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> polars <span class="im">as</span> pl</span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> pandas <span class="im">as</span> pd</span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> numpy <span class="im">as</span> np</span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> pyarrow <span class="im">as</span> pa</span>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> plotly.express <span class="im">as</span> px</span>
<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> string</span>
<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> random</span>
<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> os</span>
<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> sys</span>
<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>matplotlib inline </span>
<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> matplotlib.pyplot <span class="im">as</span> plt</span>
<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a><span class="im">from</span> datetime <span class="im">import</span> datetime</span>
<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> mlx.core <span class="im">as</span> mx</span>
<span id="cb1-14"><a href="#cb1-14" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb1-15"><a href="#cb1-15" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> time</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<div id="f206fc05" class="cell" data-execution_count="2">
<div class="sourceCode cell-code" id="cb2"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="co"># Maker an array of floats.</span></span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>A_numpy <span class="op">=</span> np.random.randn(<span class="bu">int</span>(<span class="fl">1e6</span>), <span class="dv">10</span>)</span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a>A_numpy <span class="op">=</span> A_numpy.copy()</span>
<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a>A_polars <span class="op">=</span> pl.DataFrame(A_numpy)</span>
<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a>A_pandas_numpy <span class="op">=</span> pd.DataFrame(A_numpy)</span>
<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a>A_pandas_arrow <span class="op">=</span> pd.DataFrame(A_numpy, dtype<span class="op">=</span><span class="st">"float32[pyarrow]"</span>)</span>
<span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a><span class="co"># A_arrow = pa.Table.from_pandas(A_pandas_numpy) # no sum method</span></span>
<span id="cb2-9"><a href="#cb2-9" aria-hidden="true" tabindex="-1"></a>A_mlx <span class="op">=</span> mx.array(A_numpy)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<p>Candidates currently ommited:</p>
<ol type="1">
<li>JAX</li>
<li>PyTorch</li>
<li>TensorFlow</li>
<li>?</li>
</ol>
<section id="summing-over-columns" class="level1">
<h1>Summing Over Columns</h1>
<div id="0c369904" class="cell" data-execution_count="3">
<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_numpy.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>8.13 ms ± 213 µs per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<div id="e22dac40" class="cell" data-execution_count="4">
<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>A_numpy.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>).shape</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="54">
<pre><code>(10,)</code></pre>
</div>
</div>
<div id="30b313ea" class="cell" data-execution_count="5">
<div class="sourceCode cell-code" id="cb7"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_polars.<span class="bu">sum</span>()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>3.61 ms ± 1.56 ms per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<div id="a0d9c162" class="cell" data-execution_count="6">
<div class="sourceCode cell-code" id="cb9"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a>A_polars.<span class="bu">sum</span>().shape</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="56">
<pre><code>(1, 10)</code></pre>
</div>
</div>
<div id="c1c0a972" class="cell" data-execution_count="7">
<div class="sourceCode cell-code" id="cb11"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_mlx.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>The slowest run took 132.64 times longer than the fastest. This could mean that an intermediate result is being cached.
155 µs ± 153 µs per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<div id="d6ca6867" class="cell" data-execution_count="8">
<div class="sourceCode cell-code" id="cb13"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a>A_mlx.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>).shape</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="58">
<pre><code>(10,)</code></pre>
</div>
</div>
<section id="shades-of-pandas" class="level2">
<h2 class="anchored" data-anchor-id="shades-of-pandas">50 Shades of Pandas</h2>
<p>Pandas with numpy backend</p>
<div id="e438f1f3" class="cell" data-execution_count="9">
<div class="sourceCode cell-code" id="cb15"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_pandas_numpy.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>26.9 ms ± 1.48 ms per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<div id="23103f89" class="cell" data-execution_count="10">
<div class="sourceCode cell-code" id="cb17"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a>A_pandas_numpy.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>).shape</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="60">
<pre><code>(10,)</code></pre>
</div>
</div>
<p>Pandas with arrow backend</p>
<div id="54ca2978" class="cell" data-execution_count="11">
<div class="sourceCode cell-code" id="cb19"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb19-1"><a href="#cb19-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_pandas_arrow.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>3.96 ms ± 752 µs per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<div id="0e9a5393" class="cell" data-execution_count="12">
<div class="sourceCode cell-code" id="cb21"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb21-1"><a href="#cb21-1" aria-hidden="true" tabindex="-1"></a>A_pandas_arrow.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>).shape</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="62">
<pre><code>(10,)</code></pre>
</div>
</div>
<p>Pandas with numpy backend, converted to numpy</p>
<div id="35607d58" class="cell" data-execution_count="13">
<div class="sourceCode cell-code" id="cb23"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb23-1"><a href="#cb23-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_pandas_numpy.values.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>8.03 ms ± 175 µs per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<div id="9f23c463" class="cell" data-execution_count="14">
<div class="sourceCode cell-code" id="cb25"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb25-1"><a href="#cb25-1" aria-hidden="true" tabindex="-1"></a>A_pandas_numpy.values.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>).shape</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="64">
<pre><code>(10,)</code></pre>
</div>
</div>
<p>Pandas with arrow backend, converted to numpy</p>
<div id="2eab65ed" class="cell" data-execution_count="15">
<div class="sourceCode cell-code" id="cb27"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb27-1"><a href="#cb27-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_pandas_arrow.values.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>423 ms ± 8.46 ms per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<div id="c62fe22c" class="cell" data-execution_count="16">
<div class="sourceCode cell-code" id="cb29"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb29-1"><a href="#cb29-1" aria-hidden="true" tabindex="-1"></a><span class="bu">type</span>(A_pandas_arrow.values)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="66">
<pre><code>numpy.ndarray</code></pre>
</div>
</div>
<div id="1ff58b6b" class="cell" data-execution_count="17">
<div class="sourceCode cell-code" id="cb31"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb31-1"><a href="#cb31-1" aria-hidden="true" tabindex="-1"></a>A_pandas_arrow.values.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>).shape</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="67">
<pre><code>(10,)</code></pre>
</div>
</div>
<p>Pandas to mlx</p>
<div id="d0a0fa43" class="cell" data-execution_count="18">
<div class="sourceCode cell-code" id="cb33"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb33-1"><a href="#cb33-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> mx.array(A_pandas_numpy.values).<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>5.68 ms ± 3.12 ms per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<div id="151cba75" class="cell" data-execution_count="19">
<div class="sourceCode cell-code" id="cb35"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb35-1"><a href="#cb35-1" aria-hidden="true" tabindex="-1"></a>mx.array(A_pandas_numpy.values).<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">0</span>).shape</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="69">
<pre><code>(10,)</code></pre>
</div>
</div>
</section>
</section>
<section id="summing-over-rows" class="level1">
<h1>Summing Over Rows</h1>
<div id="fa9b7304" class="cell" data-execution_count="20">
<div class="sourceCode cell-code" id="cb37"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb37-1"><a href="#cb37-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_numpy.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">1</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>8.44 ms ± 171 µs per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<div id="68b3627b" class="cell" data-execution_count="21">
<div class="sourceCode cell-code" id="cb39"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb39-1"><a href="#cb39-1" aria-hidden="true" tabindex="-1"></a>A_numpy.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">1</span>).shape</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="71">
<pre><code>(1000000,)</code></pre>
</div>
</div>
<div id="c8a5088f" class="cell" data-execution_count="22">
<div class="sourceCode cell-code" id="cb41"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb41-1"><a href="#cb41-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_polars.sum_horizontal()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>9.98 ms ± 2.18 ms per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<div id="c2a3c988" class="cell" data-execution_count="23">
<div class="sourceCode cell-code" id="cb43"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb43-1"><a href="#cb43-1" aria-hidden="true" tabindex="-1"></a>A_polars.sum_horizontal().shape</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="73">
<pre><code>(1000000,)</code></pre>
</div>
</div>
<div id="07788e96" class="cell" data-execution_count="24">
<div class="sourceCode cell-code" id="cb45"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb45-1"><a href="#cb45-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_mlx.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">1</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>The slowest run took 6.12 times longer than the fastest. This could mean that an intermediate result is being cached.
6.94 µs ± 4.99 µs per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<div id="afb96d93" class="cell" data-execution_count="25">
<div class="sourceCode cell-code" id="cb47"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb47-1"><a href="#cb47-1" aria-hidden="true" tabindex="-1"></a>A_mlx.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">1</span>).shape</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-display" data-execution_count="75">
<pre><code>(1000000,)</code></pre>
</div>
</div>
<section id="shades-of-pandas-1" class="level2">
<h2 class="anchored" data-anchor-id="shades-of-pandas-1">50 Shades of Pandas</h2>
<p>Pandas with numpy backend</p>
<div id="40557b9f" class="cell" data-execution_count="26">
<div class="sourceCode cell-code" id="cb49"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb49-1"><a href="#cb49-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_pandas_numpy.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">1</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>74.2 ms ± 314 µs per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<p>Pandas with arrow backend</p>
<div id="e52d67fc" class="cell" data-execution_count="27">
<div class="sourceCode cell-code" id="cb51"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb51-1"><a href="#cb51-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_pandas_arrow.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">1</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>192 ms ± 6.55 ms per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<p>Pandas with numpy backend, converted to numpy</p>
<div id="d441f51e" class="cell" data-execution_count="28">
<div class="sourceCode cell-code" id="cb53"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb53-1"><a href="#cb53-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_pandas_numpy.values.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">1</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>8.38 ms ± 151 µs per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<p>Pandas with arrow backend, converted to numpy</p>
<div id="734a0b76" class="cell" data-execution_count="29">
<div class="sourceCode cell-code" id="cb55"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb55-1"><a href="#cb55-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> A_pandas_arrow.values.<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">1</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>417 ms ± 7.09 ms per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
<p>Pandas to mlx</p>
<div id="4ce4a0ad" class="cell" data-execution_count="30">
<div class="sourceCode cell-code" id="cb57"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb57-1"><a href="#cb57-1" aria-hidden="true" tabindex="-1"></a><span class="op">%</span>timeit <span class="op">-</span>n <span class="dv">4</span> <span class="op">-</span>r <span class="dv">2</span> mx.array(A_pandas_numpy.values).<span class="bu">sum</span>(axis<span class="op">=</span><span class="dv">1</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>5.47 ms ± 3.28 ms per loop (mean ± std. dev. of 2 runs, 4 loops each)</code></pre>
</div>
</div>
</section>
</section>
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