<p dir="auto">Apparently</p>
<div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="plt.style.use('seaborn-colorblind')"><pre class="notranslate"><span class="pl-s1">plt</span>.<span class="pl-s1">style</span>.<span class="pl-en">use</span>(<span class="pl-s">'seaborn-colorblind'</span>)</pre></div>
<p dir="auto">yields a different color cycle than the one documented in the <a href="https://seaborn.pydata.org/tutorial/color_palettes.html#qualitative-color-palettes" rel="nofollow">seaborn docs</a>.<br>
Especially the greenish color at the second place can be confusing as we're used to 1. blue 2. orange 3. green colors and so on.</p>
<p dir="auto">I've translated the seaborn colors via</p>
<div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="[
    ''.join([f'{int(255 * h):02x}'.upper() for h in c])
    for c in sns.color_palette('colorblind')
]
&gt; ['0173B2', 'DE8F05', '029E73', 'D55E00', 'CC78BC', 'CA9161', 'FBAFE4', '949494', 'ECE133', '56B4E9']"><pre class="notranslate">[
    <span class="pl-s">''</span>.<span class="pl-en">join</span>([<span class="pl-s">f'<span class="pl-s1"><span class="pl-kos">{</span><span class="pl-en">int</span>(<span class="pl-c1">255</span> <span class="pl-c1">*</span> <span class="pl-s1">h</span>):02x<span class="pl-kos">}</span></span>'</span>.<span class="pl-en">upper</span>() <span class="pl-k">for</span> <span class="pl-s1">h</span> <span class="pl-c1">in</span> <span class="pl-s1">c</span>])
    <span class="pl-k">for</span> <span class="pl-s1">c</span> <span class="pl-c1">in</span> <span class="pl-s1">sns</span>.<span class="pl-en">color_palette</span>(<span class="pl-s">'colorblind'</span>)
]
<span class="pl-c1">&gt;</span> [<span class="pl-s">'0173B2'</span>, <span class="pl-s">'DE8F05'</span>, <span class="pl-s">'029E73'</span>, <span class="pl-s">'D55E00'</span>, <span class="pl-s">'CC78BC'</span>, <span class="pl-s">'CA9161'</span>, <span class="pl-s">'FBAFE4'</span>, <span class="pl-s">'949494'</span>, <span class="pl-s">'ECE133'</span>, <span class="pl-s">'56B4E9'</span>]</pre></div>
<p dir="auto">I guess this should go into <a href="https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/mpl-data/stylelib/seaborn-colorblind.mplstyle">https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/mpl-data/stylelib/seaborn-colorblind.mplstyle</a>.</p>
<h3 dir="auto">Bug report</h3>
<p dir="auto"><strong>Bug summary</strong></p>
<p dir="auto">When using a combination of <code class="notranslate">plt.subplots</code> with <code class="notranslate">gridspec_kw/width_ratios</code> along with <code class="notranslate">plt.subplot2grid</code>, some of the axes disappear when one of the width ratios is (in this case) below 0.73.</p>
<p dir="auto"><strong>Code for reproduction</strong></p>

<div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="import matplotlib.pyplot as plt
fig, ax = plt.subplots(2,3,sharex=True, sharey=True, gridspec_kw={'width_ratios':[1,1,0.7]})
axi = plt.subplot2grid((2,3),(0,2),rowspan=2)
plt.show()"><pre class="notranslate"><span class="pl-k">import</span> <span class="pl-s1">matplotlib</span>.<span class="pl-s1">pyplot</span> <span class="pl-k">as</span> <span class="pl-s1">plt</span>
<span class="pl-s1">fig</span>, <span class="pl-s1">ax</span> <span class="pl-c1">=</span> <span class="pl-s1">plt</span>.<span class="pl-en">subplots</span>(<span class="pl-c1">2</span>,<span class="pl-c1">3</span>,<span class="pl-s1">sharex</span><span class="pl-c1">=</span><span class="pl-c1">True</span>, <span class="pl-s1">sharey</span><span class="pl-c1">=</span><span class="pl-c1">True</span>, <span class="pl-s1">gridspec_kw</span><span class="pl-c1">=</span>{<span class="pl-s">'width_ratios'</span>:[<span class="pl-c1">1</span>,<span class="pl-c1">1</span>,<span class="pl-c1">0.7</span>]})
<span class="pl-s1">axi</span> <span class="pl-c1">=</span> <span class="pl-s1">plt</span>.<span class="pl-en">subplot2grid</span>((<span class="pl-c1">2</span>,<span class="pl-c1">3</span>),(<span class="pl-c1">0</span>,<span class="pl-c1">2</span>),<span class="pl-s1">rowspan</span><span class="pl-c1">=</span><span class="pl-c1">2</span>)
<span class="pl-s1">plt</span>.<span class="pl-en">show</span>()</pre></div>
<p dir="auto"><strong>Actual outcome</strong></p>

<p dir="auto"><a target="_blank" rel="noopener noreferrer nofollow" href="https://user-images.githubusercontent.com/8016552/41362532-9d776564-6eff-11e8-8e47-588f538e7229.png"><img src="https://user-images.githubusercontent.com/8016552/41362532-9d776564-6eff-11e8-8e47-588f538e7229.png" alt="image" style="max-width: 100%;"></a></p>
<p dir="auto">Note that the axes only disappear with the call to <code class="notranslate">subplot2grid</code>. If I remove that line, all axes appear.</p>
<p dir="auto"><strong>Expected outcome</strong></p>


<p dir="auto">If <code class="notranslate">width_ratios</code> is instead <code class="notranslate">[1,1,0.8]</code>, all of the axes appear.<br>
<a target="_blank" rel="noopener noreferrer nofollow" href="https://user-images.githubusercontent.com/8016552/41362560-aef98d3a-6eff-11e8-990d-3c3460365b3e.png"><img src="https://user-images.githubusercontent.com/8016552/41362560-aef98d3a-6eff-11e8-990d-3c3460365b3e.png" alt="image" style="max-width: 100%;"></a></p>
<p dir="auto">I can achieve the desired width ratios if I use <code class="notranslate">GridSpec</code> directly instead of using the wrappers, but it would be nice if the wrappers didn't fail based on the <code class="notranslate">width_ratios</code> parameter.</p>
<p dir="auto"><strong>Matplotlib version</strong></p>

<ul dir="auto">
<li>Operating system: Windows 10.0.15063</li>
<li>Matplotlib version: 2.1.0</li>
<li>Matplotlib backend: module://ipykernel.pylab.backend_inline</li>
<li>Python version: 3.6.3</li>
<li>IPython version: 6.1.0</li>
<li>Jupyter notebook server version: 5.4.1</li>
</ul>

<p dir="auto">mabplotlib and python installed via conda.</p>