<h2>Dependencies</h2>
<p><code>graphviz</code> is required for the call graph.</p>
<pre class="language-bash"><code class="language-bash">$ brew <span class="token function">install</span> qcachegrind graphviz
$ pip <span class="token function">install</span> pyprof2calltree
</code></pre>
<h2>Profiling</h2>
<p>Profile your code with <code>cProfile</code> or <code>Profile</code>. <code>pyprof2calltree</code> won't work with <code>hotshot</code>. Store the profile data in a <code>.pstats</code> file.</p>
<pre class="language-bash"><code class="language-bash">$ python -m cProfile -o profile.pstats yourscript.py
</code></pre>
<p>Then run:</p>
<pre class="language-bash"><code class="language-bash">$ pyprof2calltree -i profile.pstats -o profile.kgrind
</code></pre>
<p>Then open this <code>kgrind</code> file with <code>qcachegrind</code>:</p>
<pre class="language-bash"><code class="language-bash">$ qcachegrind profile.kgrind
</code></pre>
<p><img src="http://media.tumblr.com/8faf28c1b1d9227330b4f185c48982cd/tumblr_inline_mspsujDXvH1qz4rgp.png" alt=""></p>


How to visualize your code's profile with qcachegrind.

dein.fr

Using qcachegrind to visualize Python profiling data

Dependencies

Profiling