erlink" href="#distribution" title="Permalink to this headline">¶</a></h2>
<p>To find the state of the markov chain after a certain point, we can call the
<cite>.distribution</cite> method which takes in a starting condition and a number of
steps. For example, to see the distribution of <cite>mc</cite> starting at “A” after 2
steps, we can call</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [11]: </span><span class="n">mc</span><span class="o