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<div id="5cf8f54d-bf3c-4db2-996d-22662a86ad43" class="cell code"
data-execution_count="1">
<div class="sourceCode" id="cb1"><pre class="sourceCode
python"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> matplotlib.pyplot <span class="im">as</span> plt</span></code></pre></div>
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<div id="a0228622-9ff8-4392-9ddd-f70a90f0e106" class="cell code"
data-execution_count="2">
<div class="sourceCode" id="cb2"><pre class="sourceCode
python"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>fig, ax <span class="op">=</span> plt.subplots(figsize<span class="op">=</span>(<span class="dv">1</span>, <span class="dv">1</span>), dpi<span class="op">=</span><span class="dv">4</span>)</span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>ax.imshow([[<span class="dv">0</span>, <span class="dv">1</span>], [<span class="dv">2</span>, <span class="dv">3</span>]])<span class="op">;</span></span></code></pre></div>
<div class="output display_data">
<p><em>you should see this when converting from ipynb to html instead of the image below.</em></p>
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