<div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="sns.__version__, matplotlib.__version__
('0.11.1', '3.4.2')"><pre class="notranslate"><span class="pl-s1">sns</span>.<span class="pl-s1">__version__</span>, <span class="pl-s1">matplotlib</span>.<span class="pl-s1">__version__</span>
(<span class="pl-s">'0.11.1'</span>, <span class="pl-s">'3.4.2'</span>)</pre></div>
<p dir="auto">This works</p>
<div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="
import seaborn as sns

titanic = sns.load_dataset(&quot;titanic&quot;)
sns.displot(
    data=titanic,
    x=&quot;age&quot;,
    y='fare',
    col=&quot;survived&quot;,
    common_bins=True,
)"><pre class="notranslate"><span class="pl-k">import</span> <span class="pl-s1">seaborn</span> <span class="pl-k">as</span> <span class="pl-s1">sns</span>

<span class="pl-s1">titanic</span> <span class="pl-c1">=</span> <span class="pl-s1">sns</span>.<span class="pl-en">load_dataset</span>(<span class="pl-s">"titanic"</span>)
<span class="pl-s1">sns</span>.<span class="pl-en">displot</span>(
    <span class="pl-s1">data</span><span class="pl-c1">=</span><span class="pl-s1">titanic</span>,
    <span class="pl-s1">x</span><span class="pl-c1">=</span><span class="pl-s">"age"</span>,
    <span class="pl-s1">y</span><span class="pl-c1">=</span><span class="pl-s">'fare'</span>,
    <span class="pl-s1">col</span><span class="pl-c1">=</span><span class="pl-s">"survived"</span>,
    <span class="pl-s1">common_bins</span><span class="pl-c1">=</span><span class="pl-c1">True</span>,
)</pre></div>
<p dir="auto">This does not</p>
<div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="
import seaborn as sns

titanic = sns.load_dataset(&quot;titanic&quot;)
sns.displot(
    data=titanic,
    x=&quot;age&quot;,
    y='fare',
    col=&quot;survived&quot;,
    common_bins=False,
)

/home/samuel/miniconda3/envs/py38/lib/python3.8/site-packages/numpy/core/fromnumeric.py:87: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
  return ufunc.reduce(obj, axis, dtype, out, **passkwargs)

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/tmp/ipykernel_10645/1850804617.py in &lt;module&gt;
      2 
      3 titanic = sns.load_dataset(&quot;titanic&quot;)
----&gt; 4 sns.displot(
      5     data=titanic,
      6     x=&quot;age&quot;,

~/miniconda3/envs/py38/lib/python3.8/site-packages/seaborn/distributions.py in displot(data, x, y, hue, row, col, weights, kind, rug, rug_kws, log_scale, legend, palette, hue_order, hue_norm, color, col_wrap, row_order, col_order, height, aspect, facet_kws, **kwargs)
   2230 
   2231             _assign_default_kwargs(hist_kws, p.plot_bivariate_histogram, histplot)
-&gt; 2232             p.plot_bivariate_histogram(**hist_kws)
   2233 
   2234     elif kind == &quot;kde&quot;:

~/miniconda3/envs/py38/lib/python3.8/site-packages/seaborn/distributions.py in plot_bivariate_histogram(self, common_bins, common_norm, thresh, pthresh, pmax, color, legend, cbar, cbar_ax, cbar_kws, estimate_kws, **plot_kws)
    763                 vmax = self._quantile_to_level(full_heights, pmax)
    764             else:
--&gt; 765                 vmax = plot_kws.pop(&quot;vmax&quot;, np.max(full_heights))
    766         else:
    767             vmax = None

&lt;__array_function__ internals&gt; in amax(*args, **kwargs)

~/miniconda3/envs/py38/lib/python3.8/site-packages/numpy/core/fromnumeric.py in amax(a, axis, out, keepdims, initial, where)
   2703     5
   2704     &quot;&quot;&quot;
-&gt; 2705     return _wrapreduction(a, np.maximum, 'max', axis, None, out,
   2706                           keepdims=keepdims, initial=initial, where=where)
   2707 

~/miniconda3/envs/py38/lib/python3.8/site-packages/numpy/core/fromnumeric.py in _wrapreduction(obj, ufunc, method, axis, dtype, out, **kwargs)
     85                 return reduction(axis=axis, out=out, **passkwargs)
     86 
---&gt; 87     return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
     88 
     89 

ValueError: could not broadcast input array from shape (16,53) into shape (16)"><pre class="notranslate"><span class="pl-k">import</span> <span class="pl-s1">seaborn</span> <span class="pl-k">as</span> <span class="pl-s1">sns</span>

<span class="pl-s1">titanic</span> <span class="pl-c1">=</span> <span class="pl-s1">sns</span>.<span class="pl-en">load_dataset</span>(<span class="pl-s">"titanic"</span>)
<span class="pl-s1">sns</span>.<span class="pl-en">displot</span>(
    <span class="pl-s1">data</span><span class="pl-c1">=</span><span class="pl-s1">titanic</span>,
    <span class="pl-s1">x</span><span class="pl-c1">=</span><span class="pl-s">"age"</span>,
    <span class="pl-s1">y</span><span class="pl-c1">=</span><span class="pl-s">'fare'</span>,
    <span class="pl-s1">col</span><span class="pl-c1">=</span><span class="pl-s">"survived"</span>,
    <span class="pl-s1">common_bins</span><span class="pl-c1">=</span><span class="pl-c1">False</span>,
)

<span class="pl-c1">/</span><span class="pl-s1">home</span><span class="pl-c1">/</span><span class="pl-s1">samuel</span><span class="pl-c1">/</span><span class="pl-s1">miniconda3</span><span class="pl-c1">/</span><span class="pl-s1">envs</span><span class="pl-c1">/</span><span class="pl-s1">py38</span><span class="pl-c1">/</span><span class="pl-s1">lib</span><span class="pl-c1">/</span><span class="pl-s1">python3</span>.<span class="pl-c1">8</span><span class="pl-c1">/</span><span class="pl-s1">site</span><span class="pl-c1">-</span><span class="pl-s1">packages</span><span class="pl-c1">/</span><span class="pl-s1">numpy</span><span class="pl-c1">/</span><span class="pl-s1">core</span><span class="pl-c1">/</span><span class="pl-s1">fromnumeric</span>.<span class="pl-s1">py</span>:<span class="pl-c1">87</span>: <span class="pl-v">VisibleDeprecationWarning</span>: <span class="pl-v">Creating</span> <span class="pl-s1">an</span> <span class="pl-s1">ndarray</span> <span class="pl-k">from</span> <span class="pl-s1">ragged</span> <span class="pl-s1">nested</span> <span class="pl-s1">sequences</span> (<span class="pl-s1">which</span> <span class="pl-c1">is</span> <span class="pl-s1">a</span> <span class="pl-s1">list</span><span class="pl-c1">-</span><span class="pl-s1">or</span><span class="pl-c1">-</span><span class="pl-s1">tuple</span> <span class="pl-s1">of</span> <span class="pl-s1">lists</span><span class="pl-c1">-</span><span class="pl-s1">or</span><span class="pl-c1">-</span><span class="pl-s1">tuples</span><span class="pl-c1">-</span><span class="pl-s1">or</span> <span class="pl-s1">ndarrays</span> <span class="pl-k">with</span> <span class="pl-s1">different</span> <span class="pl-s1">lengths</span> <span class="pl-c1">or</span> <span class="pl-s1">shapes</span>) <span class="pl-c1">is</span> <span class="pl-s1">deprecated</span>. <span class="pl-v">If</span> <span class="pl-s1">you</span> <span class="pl-s1">meant</span> <span class="pl-s1">to</span> <span class="pl-s1">do</span> <span class="pl-s1">this</span>, <span class="pl-s1">you</span> <span class="pl-s1">must</span> <span class="pl-s1">specify</span> <span class="pl-s">'dtype=object'</span> <span class="pl-s1">when</span> <span class="pl-s1">creating</span> <span class="pl-s1">the</span> <span class="pl-s1">ndarray</span>
  <span class="pl-s1">return</span> <span class="pl-s1">ufunc</span>.<span class="pl-en">reduce</span>(<span class="pl-s1">obj</span>, <span class="pl-s1">axis</span>, <span class="pl-s1">dtype</span>, <span class="pl-s1">out</span>, <span class="pl-c1">**</span><span class="pl-s1">passkwargs</span>)

<span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span>
<span class="pl-v">ValueError</span>                                <span class="pl-v">Traceback</span> (<span class="pl-s1">most</span> <span class="pl-s1">recent</span> <span class="pl-s1">call</span> <span class="pl-s1">last</span>)
<span class="pl-c1">/</span><span class="pl-s1">tmp</span><span class="pl-c1">/</span><span class="pl-s1">ipykernel_10645</span><span class="pl-c1">/</span><span class="pl-c1">1850804617.</span><span class="pl-s1">py</span> <span class="pl-c1">in</span> <span class="pl-c1">&lt;</span><span class="pl-s1">module</span><span class="pl-c1">&gt;</span>
      <span class="pl-c1">2</span> 
      <span class="pl-c1">3</span> <span class="pl-s1">titanic</span> <span class="pl-c1">=</span> <span class="pl-s1">sns</span>.<span class="pl-en">load_dataset</span>(<span class="pl-s">"titanic"</span>)
<span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">&gt;</span> <span class="pl-c1">4</span> <span class="pl-s1">sns</span>.<span class="pl-en">displot</span>(
      <span class="pl-c1">5</span>     <span class="pl-s1">data</span><span class="pl-c1">=</span><span class="pl-s1">titanic</span>,
      <span class="pl-c1">6</span>     <span class="pl-s1">x</span><span class="pl-c1">=</span><span class="pl-s">"age"</span>,

<span class="pl-c1">~</span><span class="pl-c1">/</span><span class="pl-s1">miniconda3</span><span class="pl-c1">/</span><span class="pl-s1">envs</span><span class="pl-c1">/</span><span class="pl-s1">py38</span><span class="pl-c1">/</span><span class="pl-s1">lib</span><span class="pl-c1">/</span><span class="pl-s1">python3</span>.<span class="pl-c1">8</span><span class="pl-c1">/</span><span class="pl-s1">site</span><span class="pl-c1">-</span><span class="pl-s1">packages</span><span class="pl-c1">/</span><span class="pl-s1">seaborn</span><span class="pl-c1">/</span><span class="pl-s1">distributions</span>.<span class="pl-s1">py</span> <span class="pl-c1">in</span> <span class="pl-en">displot</span>(<span class="pl-s1">data</span>, <span class="pl-s1">x</span>, <span class="pl-s1">y</span>, <span class="pl-s1">hue</span>, <span class="pl-s1">row</span>, <span class="pl-s1">col</span>, <span class="pl-s1">weights</span>, <span class="pl-s1">kind</span>, <span class="pl-s1">rug</span>, <span class="pl-s1">rug_kws</span>, <span class="pl-s1">log_scale</span>, <span class="pl-s1">legend</span>, <span class="pl-s1">palette</span>, <span class="pl-s1">hue_order</span>, <span class="pl-s1">hue_norm</span>, <span class="pl-s1">color</span>, <span class="pl-s1">col_wrap</span>, <span class="pl-s1">row_order</span>, <span class="pl-s1">col_order</span>, <span class="pl-s1">height</span>, <span class="pl-s1">aspect</span>, <span class="pl-s1">facet_kws</span>, <span class="pl-c1">**</span><span class="pl-s1">kwargs</span>)
   <span class="pl-c1">2230</span> 
   <span class="pl-c1">2231</span>             <span class="pl-s1">_assign_default_kwargs</span>(<span class="pl-s1">hist_kws</span>, <span class="pl-s1">p</span>.<span class="pl-s1">plot_bivariate_histogram</span>, <span class="pl-s1">histplot</span>)
<span class="pl-c1">-</span><span class="pl-c1">&gt;</span> <span class="pl-c1">2232</span>             <span class="pl-s1">p</span>.<span class="pl-en">plot_bivariate_histogram</span>(<span class="pl-c1">**</span><span class="pl-s1">hist_kws</span>)
   <span class="pl-c1">2233</span> 
   <span class="pl-c1">2234</span>     <span class="pl-k">elif</span> <span class="pl-s1">kind</span> <span class="pl-c1">==</span> <span class="pl-s">"kde"</span>:

<span class="pl-c1">~</span><span class="pl-c1">/</span><span class="pl-s1">miniconda3</span><span class="pl-c1">/</span><span class="pl-s1">envs</span><span class="pl-c1">/</span><span class="pl-s1">py38</span><span class="pl-c1">/</span><span class="pl-s1">lib</span><span class="pl-c1">/</span><span class="pl-s1">python3</span>.<span class="pl-c1">8</span><span class="pl-c1">/</span><span class="pl-s1">site</span><span class="pl-c1">-</span><span class="pl-s1">packages</span><span class="pl-c1">/</span><span class="pl-s1">seaborn</span><span class="pl-c1">/</span><span class="pl-s1">distributions</span>.<span class="pl-s1">py</span> <span class="pl-c1">in</span> <span class="pl-en">plot_bivariate_histogram</span>(<span class="pl-s1">self</span>, <span class="pl-s1">common_bins</span>, <span class="pl-s1">common_norm</span>, <span class="pl-s1">thresh</span>, <span class="pl-s1">pthresh</span>, <span class="pl-s1">pmax</span>, <span class="pl-s1">color</span>, <span class="pl-s1">legend</span>, <span class="pl-s1">cbar</span>, <span class="pl-s1">cbar_ax</span>, <span class="pl-s1">cbar_kws</span>, <span class="pl-s1">estimate_kws</span>, <span class="pl-c1">**</span><span class="pl-s1">plot_kws</span>)
    <span class="pl-c1">763</span>                 <span class="pl-s1">vmax</span> <span class="pl-c1">=</span> <span class="pl-s1">self</span>.<span class="pl-en">_quantile_to_level</span>(<span class="pl-s1">full_heights</span>, <span class="pl-s1">pmax</span>)
    <span class="pl-c1">764</span>             <span class="pl-s1">else</span>:
<span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">&gt;</span> <span class="pl-c1">765</span>                 <span class="pl-s1">vmax</span> <span class="pl-c1">=</span> <span class="pl-s1">plot_kws</span>.<span class="pl-en">pop</span>(<span class="pl-s">"vmax"</span>, <span class="pl-s1">np</span>.<span class="pl-en">max</span>(<span class="pl-s1">full_heights</span>))
    <span class="pl-c1">766</span>         <span class="pl-s1">else</span>:
    <span class="pl-c1">767</span>             <span class="pl-s1">vmax</span> <span class="pl-c1">=</span> <span class="pl-c1">None</span>

<span class="pl-c1">&lt;</span><span class="pl-s1">__array_function__</span> <span class="pl-s1">internals</span><span class="pl-c1">&gt;</span> <span class="pl-s1">in</span> <span class="pl-en">amax</span>(<span class="pl-c1">*</span><span class="pl-s1">args</span>, <span class="pl-c1">**</span><span class="pl-s1">kwargs</span>)

<span class="pl-c1">~</span><span class="pl-c1">/</span><span class="pl-s1">miniconda3</span><span class="pl-c1">/</span><span class="pl-s1">envs</span><span class="pl-c1">/</span><span class="pl-s1">py38</span><span class="pl-c1">/</span><span class="pl-s1">lib</span><span class="pl-c1">/</span><span class="pl-s1">python3</span>.<span class="pl-c1">8</span><span class="pl-c1">/</span><span class="pl-s1">site</span><span class="pl-c1">-</span><span class="pl-s1">packages</span><span class="pl-c1">/</span><span class="pl-s1">numpy</span><span class="pl-c1">/</span><span class="pl-s1">core</span><span class="pl-c1">/</span><span class="pl-s1">fromnumeric</span>.<span class="pl-s1">py</span> <span class="pl-c1">in</span> <span class="pl-en">amax</span>(<span class="pl-s1">a</span>, <span class="pl-s1">axis</span>, <span class="pl-s1">out</span>, <span class="pl-s1">keepdims</span>, <span class="pl-s1">initial</span>, <span class="pl-s1">where</span>)
   <span class="pl-c1">2703</span>     <span class="pl-c1">5</span>
   <span class="pl-c1">2704</span>     """
<span class="pl-c1">-&gt;</span> <span class="pl-c1">2705</span>     <span class="pl-k">return</span> <span class="pl-en">_wrapreduction</span>(<span class="pl-s1">a</span>, <span class="pl-s1">np</span>.<span class="pl-s1">maximum</span>, <span class="pl-s">'max'</span>, <span class="pl-s1">axis</span>, <span class="pl-c1">None</span>, <span class="pl-s1">out</span>,
   <span class="pl-c1">2706</span>                           <span class="pl-s1">keepdims</span><span class="pl-c1">=</span><span class="pl-s1">keepdims</span>, <span class="pl-s1">initial</span><span class="pl-c1">=</span><span class="pl-s1">initial</span>, <span class="pl-s1">where</span><span class="pl-c1">=</span><span class="pl-s1">where</span>)
   <span class="pl-c1">2707</span> 

<span class="pl-c1">~</span><span class="pl-c1">/</span><span class="pl-s1">miniconda3</span><span class="pl-c1">/</span><span class="pl-s1">envs</span><span class="pl-c1">/</span><span class="pl-s1">py38</span><span class="pl-c1">/</span><span class="pl-s1">lib</span><span class="pl-c1">/</span><span class="pl-s1">python3</span>.<span class="pl-c1">8</span><span class="pl-c1">/</span><span class="pl-s1">site</span><span class="pl-c1">-</span><span class="pl-s1">packages</span><span class="pl-c1">/</span><span class="pl-s1">numpy</span><span class="pl-c1">/</span><span class="pl-s1">core</span><span class="pl-c1">/</span><span class="pl-s1">fromnumeric</span>.<span class="pl-s1">py</span> <span class="pl-c1">in</span> <span class="pl-en">_wrapreduction</span>(<span class="pl-s1">obj</span>, <span class="pl-s1">ufunc</span>, <span class="pl-s1">method</span>, <span class="pl-s1">axis</span>, <span class="pl-s1">dtype</span>, <span class="pl-s1">out</span>, <span class="pl-c1">**</span><span class="pl-s1">kwargs</span>)
     <span class="pl-c1">85</span>                 <span class="pl-k">return</span> <span class="pl-en">reduction</span>(<span class="pl-s1">axis</span><span class="pl-c1">=</span><span class="pl-s1">axis</span>, <span class="pl-s1">out</span><span class="pl-c1">=</span><span class="pl-s1">out</span>, <span class="pl-c1">**</span><span class="pl-s1">passkwargs</span>)
     <span class="pl-c1">86</span> 
<span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">-</span><span class="pl-c1">&gt;</span> <span class="pl-c1">87</span>     <span class="pl-s1">return</span> <span class="pl-s1">ufunc</span>.<span class="pl-en">reduce</span>(<span class="pl-s1">obj</span>, <span class="pl-s1">axis</span>, <span class="pl-s1">dtype</span>, <span class="pl-s1">out</span>, <span class="pl-c1">**</span><span class="pl-s1">passkwargs</span>)
     <span class="pl-c1">88</span> 
     <span class="pl-c1">89</span> 

<span class="pl-v">ValueError</span>: <span class="pl-s1">could</span> <span class="pl-c1">not</span> <span class="pl-s1">broadcast</span> <span class="pl-s1">input</span> <span class="pl-s1">array</span> <span class="pl-k">from</span> <span class="pl-en">shape</span> (<span class="pl-c1">16</span>,<span class="pl-c1">53</span>) <span class="pl-s1">into</span> <span class="pl-en">shape</span> (<span class="pl-c1">16</span>)</pre></div>
<p dir="auto">I thought asking for different bins size (in a more complicated example) would work, but apparently adding a y variable make stuff blows up. Asking only for a x variable or more rows/columns seems fine though, so I'm wondering if the bivariate case is supposed to 1. work or 2. is allowing something which is not supposed to be working and should instead report a warning/error for that case.</p>
<p dir="auto">I'm noticing a new behavior in clustermap. The top and bottom of the figure get clipped. The command used to produce complete squares a few months ago. Here's an example:<br>
<a target="_blank" rel="noopener noreferrer nofollow" href="https://user-images.githubusercontent.com/26352146/67225950-1f139600-f402-11e9-98cc-2547bda5d4a4.png"><img src="https://user-images.githubusercontent.com/26352146/67225950-1f139600-f402-11e9-98cc-2547bda5d4a4.png" alt="image" style="max-width: 100%;"></a></p>
<p dir="auto">For your records, I ran the following code:</p>
<div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="%matplotlib inline
import numpy as np
import seaborn as sns
np.random.seed(98)
x = np.random.rand(10,10)
sns.clustermap(x)"><pre class="notranslate"><span class="pl-c1">%</span><span class="pl-s1">matplotlib</span> <span class="pl-s1">inline</span>
<span class="pl-k">import</span> <span class="pl-s1">numpy</span> <span class="pl-k">as</span> <span class="pl-s1">np</span>
<span class="pl-k">import</span> <span class="pl-s1">seaborn</span> <span class="pl-k">as</span> <span class="pl-s1">sns</span>
<span class="pl-s1">np</span>.<span class="pl-s1">random</span>.<span class="pl-en">seed</span>(<span class="pl-c1">98</span>)
<span class="pl-s1">x</span> <span class="pl-c1">=</span> <span class="pl-s1">np</span>.<span class="pl-s1">random</span>.<span class="pl-en">rand</span>(<span class="pl-c1">10</span>,<span class="pl-c1">10</span>)
<span class="pl-s1">sns</span>.<span class="pl-en">clustermap</span>(<span class="pl-s1">x</span>)</pre></div>
<p dir="auto">It just looks like a bug, so I thought I'd report it.</p>
<p dir="auto">Thanks.</p>