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<div class="section" id="broken-axis">
<span id="sphx-glr-gallery-pylab-examples-broken-axis-py"></span><h1>Broken Axis<a class="headerlink" href="#broken-axis" title="Permalink to this headline">¶</a></h1>
<p>Broken axis example, where the y-axis will have a portion cut out.</p>
<img alt="../../_images/sphx_glr_broken_axis_001.png" class="align-center" src="../../_images/sphx_glr_broken_axis_001.png" />
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
<span class="c1"># 30 points between [0, 0.2) originally made using np.random.rand(30)*.2</span>
<span class="n">pts</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span>
<span class="mf">0.015</span><span class="p">,</span> <span class="mf">0.166</span><span class="p">,</span> <span class="mf">0.133</span><span class="p">,</span> <span class="mf">0.159</span><span class="p">,</span> <span class="mf">0.041</span><span class="p">,</span> <span class="mf">0.024</span><span class="p">,</span> <span class="mf">0.195</span><span class="p">,</span> <span class="mf">0.039</span><span class="p">,</span> <span class="mf">0.161</span><span class="p">,</span> <span class="mf">0.018</span><span class="p">,</span>
<span class="mf">0.143</span><span class="p">,</span> <span class="mf">0.056</span><span class="p">,</span> <span class="mf">0.125</span><span class="p">,</span> <span class="mf">0.096</span><span class="p">,</span> <span class="mf">0.094</span><span class="p">,</span> <span class="mf">0.051</span><span class="p">,</span> <span class="mf">0.043</span><span class="p">,</span> <span class="mf">0.021</span><span class="p">,</span> <span class="mf">0.138</span><span class="p">,</span> <span class="mf">0.075</span><span class="p">,</span>
<span class="mf">0.109</span><span class="p">,</span> <span class="mf">0.195</span><span class="p">,</span> <span class="mf">0.050</span><span class="p">,</span> <span class="mf">0.074</span><span class="p">,</span> <span class="mf">0.079</span><span class="p">,</span> <span class="mf">0.155</span><span class="p">,</span> <span class="mf">0.020</span><span class="p">,</span> <span class="mf">0.010</span><span class="p">,</span> <span class="mf">0.061</span><span class="p">,</span> <span class="mf">0.008</span><span class="p">])</span>
<span class="c1"># Now let's make two outlier points which are far away from everything.</span>
<span class="n">pts</span><span class="p">[[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">14</span><span class="p">]]</span> <span class="o">+=</span> <span class="o">.</span><span class="mi">8</span>
<span class="c1"># If we were to simply plot pts, we'd lose most of the interesting</span>
<span class="c1"># details due to the outliers. So let's 'break' or 'cut-out' the y-axis</span>
<span class="c1"># into two portions - use the top (ax) for the outliers, and the bottom</span>
<span class="c1"># (ax2) for the details of the majority of our data</span>
<span class="n">f</span><span class="p">,</span> <span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</span> <span class="o">=</span> <a href="../../api/_as_gen/matplotlib.pyplot.subplots.html#matplotlib.pyplot.subplots" title="View documentation for matplotlib.pyplot.subplots"><span class="n">plt</span><span class="o">.</span><span class="n">subplots</span></a><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">sharex</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
<span class="c1"># plot the same data on both axes</span>
<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">pts</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">pts</span><span class="p">)</span>
<span class="c1"># zoom-in / limit the view to different portions of the data</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="o">.</span><span class="mi">78</span><span class="p">,</span> <span class="mf">1.</span><span class="p">)</span> <span class="c1"># outliers only</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="o">.</span><span class="mi">22</span><span class="p">)</span> <span class="c1"># most of the data</span>
<span class="c1"># hide the spines between ax and ax2</span>
<span class="n">ax</span><span class="o">.</span><span class="n">spines</span><span class="p">[</span><span class="s1">'bottom'</span><span class="p">]</span><span class="o">.</span><span class="n">set_visible</span><span class="p">(</span><span class="bp">False</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">spines</span><span class="p">[</span><span class="s1">'top'</span><span class="p">]</span><span class="o">.</span><span class="n">set_visible</span><span class="p">(</span><span class="bp">False</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">tick_top</span><span class="p">()</span>
<span class="n">ax</span><span class="o">.</span><span class="n">tick_params</span><span class="p">(</span><span class="n">labeltop</span><span class="o">=</span><span class="s1">'off'</span><span class="p">)</span> <span class="c1"># don't put tick labels at the top</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">tick_bottom</span><span class="p">()</span>
<span class="c1"># This looks pretty good, and was fairly painless, but you can get that</span>
<span class="c1"># cut-out diagonal lines look with just a bit more work. The important</span>
<span class="c1"># thing to know here is that in axes coordinates, which are always</span>
<span class="c1"># between 0-1, spine endpoints are at these locations (0,0), (0,1),</span>
<span class="c1"># (1,0), and (1,1). Thus, we just need to put the diagonals in the</span>
<span class="c1"># appropriate corners of each of our axes, and so long as we use the</span>
<span class="c1"># right transform and disable clipping.</span>
<span class="n">d</span> <span class="o">=</span> <span class="o">.</span><span class="mo">015</span> <span class="c1"># how big to make the diagonal lines in axes coordinates</span>
<span class="c1"># arguments to pass to plot, just so we don't keep repeating them</span>
<span class="n">kwargs</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">clip_on</span><span class="o">=</span><span class="bp">False</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">((</span><span class="o">-</span><span class="n">d</span><span class="p">,</span> <span class="o">+</span><span class="n">d</span><span class="p">),</span> <span class="p">(</span><span class="o">-</span><span class="n">d</span><span class="p">,</span> <span class="o">+</span><span class="n">d</span><span class="p">),</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> <span class="c1"># top-left diagonal</span>
<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">((</span><span class="mi">1</span> <span class="o">-</span> <span class="n">d</span><span class="p">,</span> <span class="mi">1</span> <span class="o">+</span> <span class="n">d</span><span class="p">),</span> <span class="p">(</span><span class="o">-</span><span class="n">d</span><span class="p">,</span> <span class="o">+</span><span class="n">d</span><span class="p">),</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> <span class="c1"># top-right diagonal</span>
<span class="n">kwargs</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">transform</span><span class="o">=</span><span class="n">ax2</span><span class="o">.</span><span class="n">transAxes</span><span class="p">)</span> <span class="c1"># switch to the bottom axes</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">plot</span><span class="p">((</span><span class="o">-</span><span class="n">d</span><span class="p">,</span> <span class="o">+</span><span class="n">d</span><span class="p">),</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">d</span><span class="p">,</span> <span class="mi">1</span> <span class="o">+</span> <span class="n">d</span><span class="p">),</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> <span class="c1"># bottom-left diagonal</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">plot</span><span class="p">((</span><span class="mi">1</span> <span class="o">-</span> <span class="n">d</span><span class="p">,</span> <span class="mi">1</span> <span class="o">+</span> <span class="n">d</span><span class="p">),</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">d</span><span class="p">,</span> <span class="mi">1</span> <span class="o">+</span> <span class="n">d</span><span class="p">),</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> <span class="c1"># bottom-right diagonal</span>
<span class="c1"># What's cool about this is that now if we vary the distance between</span>
<span class="c1"># ax and ax2 via f.subplots_adjust(hspace=...) or plt.subplot_tool(),</span>
<span class="c1"># the diagonal lines will move accordingly, and stay right at the tips</span>
<span class="c1"># of the spines they are 'breaking'</span>
<a href="../../api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="View documentation for matplotlib.pyplot.show"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
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100% {opacity: 1; -o-transform: translateY(0);}
}
@-ms-keyframes fadesin {
0%{ opacity:0; }
50%{ opacity:0; }
75% {opacity: 0; -ms-transform: translateY(20px);}
100% {opacity: 1; -ms-transform: translateY(0);}
}
</style>
<script>
function open_window(cause_id) {
var protocol=String(document.location.protocol);
var new_url;
if( /Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent)){
new_url="https://www.flipcause.com/widget/"+cause_id
window.open(new_url);
}
else {
document.getElementById("fc-fade").style.display = "block";
document.getElementById("fc-fade").style.webkitAnimation = "backfadesin 1s";
document.getElementById("fc-fade").style.animation = "backfadesin 1s";
document.getElementById("fc-fade").style.mozAnimation = "backfadesin 1s";
document.getElementById("fc-light").style.display = "block";
document.getElementById("fc-light").style.webkitAnimation = "fadesin 1.5s";
document.getElementById("fc-light").style.animation = "fadesin 1.5s";
document.getElementById("fc-light").style.mozAnimation = "fadesin 1.5s";
document.getElementById("fc-main").style.display = "block";
document.getElementById("fc-main").style.webkitAnimation = "fadesin 1.5s";
document.getElementById("fc-main").style.animation = "fadesin 1.5s";
document.getElementById("fc-main").style.mozAnimation = "fadesin 1.5s";
document.getElementById("fc-close").style.display = "block";
document.getElementById("fc-close").style.webkitAnimation = "fadesin 1.5s";
document.getElementById("fc-close").style.animation = "fadesin 1.5s";
document.getElementById("fc-close").style.mozAnimation = "fadesin 1.5s";
document.getElementById("fc-myFrame").style.display = "block";
document.getElementById("fc-myFrame").style.webkitAnimation = "fadesin 1.5s";
document.getElementById("fc-myFrame").style.animation = "fadesin 1.5s";
document.getElementById("fc-myFrame").style.mozAnimation = "fadesin 1.5s";
document.getElementById("fc-myFrame").src="https://www.flipcause.com/widget/"+cause_id;
}
}
function close_window() {
document.getElementById("fc-fade").style.display="none";
document.getElementById("fc-light").style.display="none";
document.getElementById("fc-main").style.display="none";
document.getElementById("fc-close").style.display="none";
document.getElementById("fc-myFrame").style.display="none";
}
</script>
<div id="fc-fade" class="fc-black_overlay" onclick="close_window()"></div>
<div id="fc-light" class="fc-white_content">
<div id="fc-main" class="fc-main-box">
<div id="fc-close" class="fc-widget_close" onclick="close_window()">
</div><iframe id="fc-myFrame" iframe height="580" width="925" style="border: 0;
border-radius:5px 5px 5px 5px; box-shadow:0 0 8px rgba(0, 0, 0, 0.5);" scrolling="no" src=""></iframe></div>
</div>
<!--END Flipcause Main Integration Code-->
</footer>
</html>