Update from scikit-bio/scikit-bio@6eef26c

docs/dev/generated/skbio.diversity.alpha_diversity.html

@@ -680,7 +680,7 @@ <h1>skbio.diversity.alpha_diversity<a class="headerlink" href="#skbio-diversity-
 a string is preferable as this often results in an optimized version of
 the metric being used.</p>
 </dd>
-<dt><strong>counts</strong><span class="classifier">1D or 2D array_like of ints or floats</span></dt><dd><p>Vector or matrix containing count/abundance data. If a matrix, each row
+<dt><strong>counts</strong><span class="classifier">1D or 2D array_like of ints or floats, Table</span></dt><dd><p>Vector or matrix containing count/abundance data. If a matrix, each row
 should contain counts of taxa in a given sample.</p>
 </dd>
 <dt><strong>ids</strong><span class="classifier">iterable of strs, optional</span></dt><dd><p>Identifiers for each sample in <code class="docutils literal notranslate"><span class="pre">counts</span></code>. By default, samples will be

docs/dev/generated/skbio.diversity.beta_diversity.html

@@ -681,7 +681,7 @@ <h1>skbio.diversity.beta_diversity<a class="headerlink" href="#skbio-diversity-b
 metrics. Passing metrics as a strings is preferable as this often
 results in an optimized version of the metric being used.</p>
 </dd>
-<dt><strong>counts</strong><span class="classifier">2D array_like of ints or floats or 2D pandas DataFrame</span></dt><dd><p>Matrix containing count/abundance data where each row contains counts
+<dt><strong>counts</strong><span class="classifier">2D array_like of ints or floats, 2D pandas DataFrame, Table</span></dt><dd><p>Matrix containing count/abundance data where each row contains counts
 of taxa in a given sample.</p>
 </dd>
 <dt><strong>ids</strong><span class="classifier">iterable of strs, optional</span></dt><dd><p>Identifiers for each sample in <code class="docutils literal notranslate"><span class="pre">counts</span></code>. By default, samples will be