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deprecation message in old nbconvert.py
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<h1>
XKCD plots in Matplotlib
</h1>
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<p>This notebook originally appeared as a blog post at <a href="http://jakevdp.github.com/blog/2012/10/07/xkcd-style-plots-in-matplotlib/">Pythonic Perambulations</a> by Jake Vanderplas.</p>
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<p>One of the problems I've had with typical matplotlib figures is that everything in them is so precise, so perfect. For an example of what I mean, take a look at this figure:</p>
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<div class="highlight"><pre><span class="kn">from</span> <span class="nn">IPython.display</span> <span class="kn">import</span> <span class="n">Image</span>
<span class="n">Image</span><span class="p">(</span><span class="s">&#39;http://jakevdp.github.com/figures/xkcd_version.png&#39;</span><span class="p">)</span>
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"></img>
</div>
</div>
</div>
</div>
</div>
<div class="text_cell_render border-box-sizing rendered_html">
<p>Sometimes when showing schematic plots, this is the type of figure I want to display. But drawing it by hand is a pain: I'd rather just use matplotlib. The problem is, matplotlib is a bit too precise. Attempting to duplicate this figure in matplotlib leads to something like this:</p>
</div>
<div class="cell border-box-sizing code_cell vbox">
<div class="input hbox">
<div class="prompt input_prompt">In&nbsp;[2]:</div>
<div class="input_area box-flex1">
<div class="highlight"><pre><span class="n">Image</span><span class="p">(</span><span class="s">&#39;http://jakevdp.github.com/figures/mpl_version.png&#39;</span><span class="p">)</span>
</pre></div>
</div>
</div>
<div class="vbox output_wrapper">
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<div class="prompt output_prompt">Out[2]:</div>
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</div>
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<div class="text_cell_render border-box-sizing rendered_html">
<p>It just doesn't have the same effect. Matplotlib is great for scientific plots, but sometimes you don't want to be so precise.</p>
<p>This subject has recently come up on the matplotlib mailing list, and started some interesting discussions.
As near as I can tell, this started with a thread on a
<a href="http://mathematica.stackexchange.com/questions/11350/xkcd-style-graphs">mathematica list</a>
which prompted a thread on the <a href="http://matplotlib.1069221.n5.nabble.com/XKCD-style-graphs-td39226.html">matplotlib list</a>
wondering if the same could be done in matplotlib.</p>
<p>Damon McDougall offered a quick
<a href="http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg25499.html">solution</a>
which was improved by Fernando Perez in <a href="http://nbviewer.ipython.org/3835181/">this notebook</a>, and
within a few days there was a <a href="https://github.com/matplotlib/matplotlib/pull/1329">matplotlib pull request</a> offering a very general
way to create sketch-style plots in matplotlib. Only a few days from a cool idea to a
working implementation: this is one of the most incredible aspects of package development on github.</p>
<p>The pull request looks really nice, but will likely not be included in a released version of
matplotlib until at least version 1.3. In the mean-time, I wanted a way to play around with
these types of plots in a way that is compatible with the current release of matplotlib. To do that,
I created the following code:</p>
</div>
<div class="text_cell_render border-box-sizing rendered_html">
<h2>
The Code: XKCDify
</h2>
</div>
<div class="text_cell_render border-box-sizing rendered_html">
<p>XKCDify will take a matplotlib <code>Axes</code> instance, and modify the plot elements in-place to make
them look hand-drawn.
First off, we'll need to make sure we have the Humor Sans font.
It can be downloaded using the command below.</p>
<p>Next we'll create a function <code>xkcd_line</code> to add jitter to lines. We want this to be very general, so
we'll normalize the size of the lines, and use a low-pass filter to add correlated noise, perpendicular
to the direction of the line. There are a few parameters for this filter that can be tweaked to
customize the appearance of the jitter.</p>
<p>Finally, we'll create a function which accepts a matplotlib axis, and calls <code>xkcd_line</code> on
all lines in the axis. Additionally, we'll switch the font of all text in the axes, and add
some background lines for a nice effect where lines cross. We'll also draw axes, and move the
axes labels and titles to the appropriate location.</p>
</div>
<div class="cell border-box-sizing code_cell vbox">
<div class="input hbox">
<div class="prompt input_prompt">In&nbsp;[3]:</div>
<div class="input_area box-flex1">
<div class="highlight"><pre><span class="sd">&quot;&quot;&quot;</span>
<span class="sd">XKCD plot generator</span>
<span class="sd">-------------------</span>
<span class="sd">Author: Jake Vanderplas</span>
<span class="sd">This is a script that will take any matplotlib line diagram, and convert it</span>
<span class="sd">to an XKCD-style plot. It will work for plots with line &amp; text elements,</span>
<span class="sd">including axes labels and titles (but not axes tick labels).</span>
<span class="sd">The idea for this comes from work by Damon McDougall</span>
<span class="sd"> http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg25499.html</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pylab</span> <span class="kn">as</span> <span class="nn">pl</span>
<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">interpolate</span><span class="p">,</span> <span class="n">signal</span>
<span class="kn">import</span> <span class="nn">matplotlib.font_manager</span> <span class="kn">as</span> <span class="nn">fm</span>
<span class="c"># We need a special font for the code below. It can be downloaded this way:</span>
<span class="kn">import</span> <span class="nn">os</span>
<span class="kn">import</span> <span class="nn">urllib2</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="s">&#39;Humor-Sans.ttf&#39;</span><span class="p">):</span>
<span class="n">fhandle</span> <span class="o">=</span> <span class="n">urllib2</span><span class="o">.</span><span class="n">urlopen</span><span class="p">(</span><span class="s">&#39;http://antiyawn.com/uploads/Humor-Sans.ttf&#39;</span><span class="p">)</span>
<span class="nb">open</span><span class="p">(</span><span class="s">&#39;Humor-Sans.ttf&#39;</span><span class="p">,</span> <span class="s">&#39;wb&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">fhandle</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
<span class="k">def</span> <span class="nf">xkcd_line</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">xlim</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">ylim</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span>
<span class="n">mag</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">f1</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">f2</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">f3</span><span class="o">=</span><span class="mi">15</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Mimic a hand-drawn line from (x, y) data</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> x, y : array_like</span>
<span class="sd"> arrays to be modified</span>
<span class="sd"> xlim, ylim : data range</span>
<span class="sd"> the assumed plot range for the modification. If not specified,</span>
<span class="sd"> they will be guessed from the data</span>
<span class="sd"> mag : float</span>
<span class="sd"> magnitude of distortions</span>
<span class="sd"> f1, f2, f3 : int, float, int</span>
<span class="sd"> filtering parameters. f1 gives the size of the window, f2 gives</span>
<span class="sd"> the high-frequency cutoff, f3 gives the size of the filter</span>
<span class="sd"> </span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> x, y : ndarrays</span>
<span class="sd"> The modified lines</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">y</span><span class="p">)</span>
<span class="c"># get limits for rescaling</span>
<span class="k">if</span> <span class="n">xlim</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">xlim</span> <span class="o">=</span> <span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">x</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
<span class="k">if</span> <span class="n">ylim</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">ylim</span> <span class="o">=</span> <span class="p">(</span><span class="n">y</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">y</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
<span class="k">if</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span>
<span class="n">xlim</span> <span class="o">=</span> <span class="n">ylim</span>
<span class="k">if</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span>
<span class="n">ylim</span> <span class="o">=</span> <span class="n">xlim</span>
<span class="c"># scale the data</span>
<span class="n">x_scaled</span> <span class="o">=</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="o">*</span> <span class="mf">1.</span> <span class="o">/</span> <span class="p">(</span><span class="n">xlim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="n">y_scaled</span> <span class="o">=</span> <span class="p">(</span><span class="n">y</span> <span class="o">-</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="o">*</span> <span class="mf">1.</span> <span class="o">/</span> <span class="p">(</span><span class="n">ylim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="c"># compute the total distance along the path</span>
<span class="n">dx</span> <span class="o">=</span> <span class="n">x_scaled</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span> <span class="o">-</span> <span class="n">x_scaled</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
<span class="n">dy</span> <span class="o">=</span> <span class="n">y_scaled</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span> <span class="o">-</span> <span class="n">y_scaled</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
<span class="n">dist_tot</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">dx</span> <span class="o">*</span> <span class="n">dx</span> <span class="o">+</span> <span class="n">dy</span> <span class="o">*</span> <span class="n">dy</span><span class="p">))</span>
<span class="c"># number of interpolated points is proportional to the distance</span>
<span class="n">Nu</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mi">200</span> <span class="o">*</span> <span class="n">dist_tot</span><span class="p">)</span>
<span class="n">u</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">Nu</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">*</span> <span class="mf">1.</span> <span class="o">/</span> <span class="p">(</span><span class="n">Nu</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
<span class="c"># interpolate curve at sampled points</span>
<span class="n">k</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">res</span> <span class="o">=</span> <span class="n">interpolate</span><span class="o">.</span><span class="n">splprep</span><span class="p">([</span><span class="n">x_scaled</span><span class="p">,</span> <span class="n">y_scaled</span><span class="p">],</span> <span class="n">s</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="n">k</span><span class="p">)</span>
<span class="n">x_int</span><span class="p">,</span> <span class="n">y_int</span> <span class="o">=</span> <span class="n">interpolate</span><span class="o">.</span><span class="n">splev</span><span class="p">(</span><span class="n">u</span><span class="p">,</span> <span class="n">res</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="c"># we&#39;ll perturb perpendicular to the drawn line</span>
<span class="n">dx</span> <span class="o">=</span> <span class="n">x_int</span><span class="p">[</span><span class="mi">2</span><span class="p">:]</span> <span class="o">-</span> <span class="n">x_int</span><span class="p">[:</span><span class="o">-</span><span class="mi">2</span><span class="p">]</span>
<span class="n">dy</span> <span class="o">=</span> <span class="n">y_int</span><span class="p">[</span><span class="mi">2</span><span class="p">:]</span> <span class="o">-</span> <span class="n">y_int</span><span class="p">[:</span><span class="o">-</span><span class="mi">2</span><span class="p">]</span>
<span class="n">dist</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">dx</span> <span class="o">*</span> <span class="n">dx</span> <span class="o">+</span> <span class="n">dy</span> <span class="o">*</span> <span class="n">dy</span><span class="p">)</span>
<span class="c"># create a filtered perturbation</span>
<span class="n">coeffs</span> <span class="o">=</span> <span class="n">mag</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">x_int</span><span class="p">)</span> <span class="o">-</span> <span class="mi">2</span><span class="p">)</span>
<span class="n">b</span> <span class="o">=</span> <span class="n">signal</span><span class="o">.</span><span class="n">firwin</span><span class="p">(</span><span class="n">f1</span><span class="p">,</span> <span class="n">f2</span> <span class="o">*</span> <span class="n">dist_tot</span><span class="p">,</span> <span class="n">window</span><span class="o">=</span><span class="p">(</span><span class="s">&#39;kaiser&#39;</span><span class="p">,</span> <span class="n">f3</span><span class="p">))</span>
<span class="n">response</span> <span class="o">=</span> <span class="n">signal</span><span class="o">.</span><span class="n">lfilter</span><span class="p">(</span><span class="n">b</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">coeffs</span><span class="p">)</span>
<span class="n">x_int</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+=</span> <span class="n">response</span> <span class="o">*</span> <span class="n">dy</span> <span class="o">/</span> <span class="n">dist</span>
<span class="n">y_int</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+=</span> <span class="n">response</span> <span class="o">*</span> <span class="n">dx</span> <span class="o">/</span> <span class="n">dist</span>
<span class="c"># un-scale data</span>
<span class="n">x_int</span> <span class="o">=</span> <span class="n">x_int</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">xlim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="o">+</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">y_int</span> <span class="o">=</span> <span class="n">y_int</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">ylim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="o">+</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="k">return</span> <span class="n">x_int</span><span class="p">,</span> <span class="n">y_int</span>
<span class="k">def</span> <span class="nf">XKCDify</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">mag</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
<span class="n">f1</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">f2</span><span class="o">=</span><span class="mf">0.01</span><span class="p">,</span> <span class="n">f3</span><span class="o">=</span><span class="mi">15</span><span class="p">,</span>
<span class="n">bgcolor</span><span class="o">=</span><span class="s">&#39;w&#39;</span><span class="p">,</span>
<span class="n">xaxis_loc</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span>
<span class="n">yaxis_loc</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span>
<span class="n">xaxis_arrow</span><span class="o">=</span><span class="s">&#39;+&#39;</span><span class="p">,</span>
<span class="n">yaxis_arrow</span><span class="o">=</span><span class="s">&#39;+&#39;</span><span class="p">,</span>
<span class="n">ax_extend</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span>
<span class="n">expand_axes</span><span class="o">=</span><span class="bp">False</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;Make axis look hand-drawn</span>
<span class="sd"> This adjusts all lines, text, legends, and axes in the figure to look</span>
<span class="sd"> like xkcd plots. Other plot elements are not modified.</span>
<span class="sd"> </span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> ax : Axes instance</span>
<span class="sd"> the axes to be modified.</span>
<span class="sd"> mag : float</span>
<span class="sd"> the magnitude of the distortion</span>
<span class="sd"> f1, f2, f3 : int, float, int</span>
<span class="sd"> filtering parameters. f1 gives the size of the window, f2 gives</span>
<span class="sd"> the high-frequency cutoff, f3 gives the size of the filter</span>
<span class="sd"> xaxis_loc, yaxis_log : float</span>
<span class="sd"> The locations to draw the x and y axes. If not specified, they</span>
<span class="sd"> will be drawn from the bottom left of the plot</span>
<span class="sd"> xaxis_arrow, yaxis_arrow : str</span>
<span class="sd"> where to draw arrows on the x/y axes. Options are &#39;+&#39;, &#39;-&#39;, &#39;+-&#39;, or &#39;&#39;</span>
<span class="sd"> ax_extend : float</span>
<span class="sd"> How far (fractionally) to extend the drawn axes beyond the original</span>
<span class="sd"> axes limits</span>
<span class="sd"> expand_axes : bool</span>
<span class="sd"> if True, then expand axes to fill the figure (useful if there is only</span>
<span class="sd"> a single axes in the figure)</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="c"># Get axes aspect</span>
<span class="n">ext</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_window_extent</span><span class="p">()</span><span class="o">.</span><span class="n">extents</span>
<span class="n">aspect</span> <span class="o">=</span> <span class="p">(</span><span class="n">ext</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">-</span> <span class="n">ext</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span> <span class="o">/</span> <span class="p">(</span><span class="n">ext</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">-</span> <span class="n">ext</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="n">xlim</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_xlim</span><span class="p">()</span>
<span class="n">ylim</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_ylim</span><span class="p">()</span>
<span class="n">xspan</span> <span class="o">=</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">yspan</span> <span class="o">=</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="n">xax_lim</span> <span class="o">=</span> <span class="p">(</span><span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">ax_extend</span> <span class="o">*</span> <span class="n">xspan</span><span class="p">,</span>
<span class="n">xlim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">ax_extend</span> <span class="o">*</span> <span class="n">xspan</span><span class="p">)</span>
<span class="n">yax_lim</span> <span class="o">=</span> <span class="p">(</span><span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">ax_extend</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span>
<span class="n">ylim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">ax_extend</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">)</span>
<span class="k">if</span> <span class="n">xaxis_loc</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">xaxis_loc</span> <span class="o">=</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="k">if</span> <span class="n">yaxis_loc</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">yaxis_loc</span> <span class="o">=</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
<span class="c"># Draw axes</span>
<span class="n">xaxis</span> <span class="o">=</span> <span class="n">pl</span><span class="o">.</span><span class="n">Line2D</span><span class="p">([</span><span class="n">xax_lim</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">xax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">]],</span> <span class="p">[</span><span class="n">xaxis_loc</span><span class="p">,</span> <span class="n">xaxis_loc</span><span class="p">],</span>
<span class="n">linestyle</span><span class="o">=</span><span class="s">&#39;-&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s">&#39;k&#39;</span><span class="p">)</span>
<span class="n">yaxis</span> <span class="o">=</span> <span class="n">pl</span><span class="o">.</span><span class="n">Line2D</span><span class="p">([</span><span class="n">yaxis_loc</span><span class="p">,</span> <span class="n">yaxis_loc</span><span class="p">],</span> <span class="p">[</span><span class="n">yax_lim</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">yax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">]],</span>
<span class="n">linestyle</span><span class="o">=</span><span class="s">&#39;-&#39;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s">&#39;k&#39;</span><span class="p">)</span>
<span class="c"># Label axes3, 0.5, &#39;hello&#39;, fontsize=14)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">xax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">xaxis_loc</span> <span class="o">-</span> <span class="mf">0.02</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_xlabel</span><span class="p">(),</span>
<span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">,</span> <span class="n">ha</span><span class="o">=</span><span class="s">&#39;right&#39;</span><span class="p">,</span> <span class="n">va</span><span class="o">=</span><span class="s">&#39;top&#39;</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">12</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">yaxis_loc</span> <span class="o">-</span> <span class="mf">0.02</span> <span class="o">*</span> <span class="n">xspan</span><span class="p">,</span> <span class="n">yax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_ylabel</span><span class="p">(),</span>
<span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">,</span> <span class="n">ha</span><span class="o">=</span><span class="s">&#39;right&#39;</span><span class="p">,</span> <span class="n">va</span><span class="o">=</span><span class="s">&#39;top&#39;</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">78</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s">&#39;&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s">&#39;&#39;</span><span class="p">)</span>
<span class="c"># Add title</span>
<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.5</span> <span class="o">*</span> <span class="p">(</span><span class="n">xax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">xax_lim</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span> <span class="n">yax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
<span class="n">ax</span><span class="o">.</span><span class="n">get_title</span><span class="p">(),</span>
<span class="n">ha</span><span class="o">=</span><span class="s">&#39;center&#39;</span><span class="p">,</span> <span class="n">va</span><span class="o">=</span><span class="s">&#39;bottom&#39;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s">&#39;&#39;</span><span class="p">)</span>
<span class="n">Nlines</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">ax</span><span class="o">.</span><span class="n">lines</span><span class="p">)</span>
<span class="n">lines</span> <span class="o">=</span> <span class="p">[</span><span class="n">xaxis</span><span class="p">,</span> <span class="n">yaxis</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="n">ax</span><span class="o">.</span><span class="n">lines</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">Nlines</span><span class="p">)]</span>
<span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">lines</span><span class="p">:</span>
<span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">get_data</span><span class="p">()</span>
<span class="n">x_int</span><span class="p">,</span> <span class="n">y_int</span> <span class="o">=</span> <span class="n">xkcd_line</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">xlim</span><span class="p">,</span> <span class="n">ylim</span><span class="p">,</span>
<span class="n">mag</span><span class="p">,</span> <span class="n">f1</span><span class="p">,</span> <span class="n">f2</span><span class="p">,</span> <span class="n">f3</span><span class="p">)</span>
<span class="c"># create foreground and background line</span>
<span class="n">lw</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">get_linewidth</span><span class="p">()</span>
<span class="n">line</span><span class="o">.</span><span class="n">set_linewidth</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">lw</span><span class="p">)</span>
<span class="n">line</span><span class="o">.</span><span class="n">set_data</span><span class="p">(</span><span class="n">x_int</span><span class="p">,</span> <span class="n">y_int</span><span class="p">)</span>
<span class="c"># don&#39;t add background line for axes</span>
<span class="k">if</span> <span class="p">(</span><span class="n">line</span> <span class="ow">is</span> <span class="ow">not</span> <span class="n">xaxis</span><span class="p">)</span> <span class="ow">and</span> <span class="p">(</span><span class="n">line</span> <span class="ow">is</span> <span class="ow">not</span> <span class="n">yaxis</span><span class="p">):</span>
<span class="n">line_bg</span> <span class="o">=</span> <span class="n">pl</span><span class="o">.</span><span class="n">Line2D</span><span class="p">(</span><span class="n">x_int</span><span class="p">,</span> <span class="n">y_int</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">bgcolor</span><span class="p">,</span>
<span class="n">linewidth</span><span class="o">=</span><span class="mi">8</span> <span class="o">*</span> <span class="n">lw</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">add_line</span><span class="p">(</span><span class="n">line_bg</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">add_line</span><span class="p">(</span><span class="n">line</span><span class="p">)</span>
<span class="c"># Draw arrow-heads at the end of axes lines</span>
<span class="n">arr1</span> <span class="o">=</span> <span class="mf">0.03</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="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">])</span>
<span class="n">arr2</span> <span class="o">=</span> <span class="mf">0.02</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="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>
<span class="n">arr1</span><span class="p">[::</span><span class="mi">2</span><span class="p">]</span> <span class="o">+=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">0.005</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
<span class="n">arr2</span><span class="p">[::</span><span class="mi">2</span><span class="p">]</span> <span class="o">+=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">0.005</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
<span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">xaxis</span><span class="o">.</span><span class="n">get_data</span><span class="p">()</span>
<span class="k">if</span> <span class="s">&#39;+&#39;</span> <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">xaxis_arrow</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="n">x</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">arr1</span> <span class="o">*</span> <span class="n">xspan</span> <span class="o">*</span> <span class="n">aspect</span><span class="p">,</span>
<span class="n">y</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">arr2</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span>
<span class="n">color</span><span class="o">=</span><span class="s">&#39;k&#39;</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="k">if</span> <span class="s">&#39;-&#39;</span> <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">xaxis_arrow</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="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">arr1</span> <span class="o">*</span> <span class="n">xspan</span> <span class="o">*</span> <span class="n">aspect</span><span class="p">,</span>
<span class="n">y</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">arr2</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span>
<span class="n">color</span><span class="o">=</span><span class="s">&#39;k&#39;</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">yaxis</span><span class="o">.</span><span class="n">get_data</span><span class="p">()</span>
<span class="k">if</span> <span class="s">&#39;+&#39;</span> <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">yaxis_arrow</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="n">x</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">arr2</span> <span class="o">*</span> <span class="n">xspan</span> <span class="o">*</span> <span class="n">aspect</span><span class="p">,</span>
<span class="n">y</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">arr1</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span>
<span class="n">color</span><span class="o">=</span><span class="s">&#39;k&#39;</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="k">if</span> <span class="s">&#39;-&#39;</span> <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">yaxis_arrow</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="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">arr2</span> <span class="o">*</span> <span class="n">xspan</span> <span class="o">*</span> <span class="n">aspect</span><span class="p">,</span>
<span class="n">y</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">arr1</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span>
<span class="n">color</span><span class="o">=</span><span class="s">&#39;k&#39;</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
<span class="c"># Change all the fonts to humor-sans.</span>
<span class="n">prop</span> <span class="o">=</span> <span class="n">fm</span><span class="o">.</span><span class="n">FontProperties</span><span class="p">(</span><span class="n">fname</span><span class="o">=</span><span class="s">&#39;Humor-Sans.ttf&#39;</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
<span class="k">for</span> <span class="n">text</span> <span class="ow">in</span> <span class="n">ax</span><span class="o">.</span><span class="n">texts</span><span class="p">:</span>
<span class="n">text</span><span class="o">.</span><span class="n">set_fontproperties</span><span class="p">(</span><span class="n">prop</span><span class="p">)</span>
<span class="c"># modify legend</span>
<span class="n">leg</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_legend</span><span class="p">()</span>
<span class="k">if</span> <span class="n">leg</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">leg</span><span class="o">.</span><span class="n">set_frame_on</span><span class="p">(</span><span class="bp">False</span><span class="p">)</span>
<span class="k">for</span> <span class="n">child</span> <span class="ow">in</span> <span class="n">leg</span><span class="o">.</span><span class="n">get_children</span><span class="p">():</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">child</span><span class="p">,</span> <span class="n">pl</span><span class="o">.</span><span class="n">Line2D</span><span class="p">):</span>
<span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">child</span><span class="o">.</span><span class="n">get_data</span><span class="p">()</span>
<span class="n">child</span><span class="o">.</span><span class="n">set_data</span><span class="p">(</span><span class="n">xkcd_line</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">mag</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">f1</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">f2</span><span class="o">=</span><span class="mf">0.001</span><span class="p">))</span>
<span class="n">child</span><span class="o">.</span><span class="n">set_linewidth</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">child</span><span class="o">.</span><span class="n">get_linewidth</span><span class="p">())</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">child</span><span class="p">,</span> <span class="n">pl</span><span class="o">.</span><span class="n">Text</span><span class="p">):</span>
<span class="n">child</span><span class="o">.</span><span class="n">set_fontproperties</span><span class="p">(</span><span class="n">prop</span><span class="p">)</span>
<span class="c"># Set the axis limits</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="n">xax_lim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="mf">0.1</span> <span class="o">*</span> <span class="n">xspan</span><span class="p">,</span>
<span class="n">xax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mf">0.1</span> <span class="o">*</span> <span class="n">xspan</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="n">yax_lim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="mf">0.1</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span>
<span class="n">yax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mf">0.1</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">)</span>
<span class="c"># adjust the axes</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xticks</span><span class="p">([])</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_yticks</span><span class="p">([])</span>
<span class="k">if</span> <span class="n">expand_axes</span><span class="p">:</span>
<span class="n">ax</span><span class="o">.</span><span class="n">figure</span><span class="o">.</span><span class="n">set_facecolor</span><span class="p">(</span><span class="n">bgcolor</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_position</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>
<span class="k">return</span> <span class="n">ax</span>
</pre></div>
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<h2>
Testing it Out
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<p>Let's test this out with a simple plot. We'll plot two curves, add some labels,
and then call <code>XKCDify</code> on the axis. I think the results are pretty nice!</p>
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<div class="prompt input_prompt">In&nbsp;[4]:</div>
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<div class="highlight"><pre><span class="o">%</span><span class="k">pylab</span> <span class="n">inline</span>
</pre></div>
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<pre>
Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].
For more information, type &apos;help(pylab)&apos;.
</pre>
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<div class="prompt input_prompt">In&nbsp;[5]:</div>
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<div class="highlight"><pre><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">pylab</span><span class="o">.</span><span class="n">axes</span><span class="p">()</span>
<span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">100</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="n">x</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="mf">0.1</span> <span class="o">*</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="mi">5</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span><span class="p">),</span> <span class="s">&#39;b&#39;</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s">&#39;damped sine&#39;</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="n">x</span><span class="p">,</span> <span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="mf">0.1</span> <span class="o">*</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="mi">5</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span><span class="p">),</span> <span class="s">&#39;r&#39;</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s">&#39;damped cosine&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s">&#39;check it out!&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s">&#39;x label&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s">&#39;y label&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s">&#39;lower right&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</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="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span>
<span class="c">#XKCDify the axes -- this operates in-place</span>
<span class="n">XKCDify</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">xaxis_loc</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span> <span class="n">yaxis_loc</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
<span class="n">xaxis_arrow</span><span class="o">=</span><span class="s">&#39;+-&#39;</span><span class="p">,</span> <span class="n">yaxis_arrow</span><span class="o">=</span><span class="s">&#39;+-&#39;</span><span class="p">,</span>
<span class="n">expand_axes</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes.AxesSubplot at 0x2fecbd0&gt;</pre>
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"></img>
</div>
</div>
</div>
</div>
</div>
<div class="text_cell_render border-box-sizing rendered_html">
<h2>
Duplicating an XKCD Comic
</h2>
</div>
<div class="text_cell_render border-box-sizing rendered_html">
<p>Now let's see if we can use this to replicated an XKCD comic in matplotlib.
This is a good one:</p>
</div>
<div class="cell border-box-sizing code_cell vbox">
<div class="input hbox">
<div class="prompt input_prompt">In&nbsp;[6]:</div>
<div class="input_area box-flex1">
<div class="highlight"><pre><span class="n">Image</span><span class="p">(</span><span class="s">&#39;http://imgs.xkcd.com/comics/front_door.png&#39;</span><span class="p">)</span>
</pre></div>
</div>
</div>
<div class="vbox output_wrapper">
<div class="output vbox">
<div class="hbox output_area">
<div class="prompt output_prompt">Out[6]:</div>
<div class="output_subarea output_pyout">
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<p>With the new <code>XKCDify</code> function, this is relatively easy to replicate. The results
are not exactly identical, but I think it definitely gets the point across!</p>
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<div class="prompt input_prompt">In&nbsp;[7]:</div>
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<div class="highlight"><pre><span class="c"># Some helper functions</span>
<span class="k">def</span> <span class="nf">norm</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">x0</span><span class="p">,</span> <span class="n">sigma</span><span class="p">):</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="mf">0.5</span> <span class="o">*</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="n">x0</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span> <span class="o">/</span> <span class="n">sigma</span> <span class="o">**</span> <span class="mi">2</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">sigmoid</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">x0</span><span class="p">,</span> <span class="n">alpha</span><span class="p">):</span>
<span class="k">return</span> <span class="mf">1.</span> <span class="o">/</span> <span class="p">(</span><span class="mf">1.</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="n">x0</span><span class="p">)</span> <span class="o">/</span> <span class="n">alpha</span><span class="p">))</span>
<span class="c"># define the curves</span>
<span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">100</span><span class="p">)</span>
<span class="n">y1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">norm</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mf">0.7</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">))</span> <span class="o">+</span> <span class="mf">0.2</span> <span class="o">*</span> <span class="p">(</span><span class="mf">1.5</span> <span class="o">-</span> <span class="n">sigmoid</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">))</span>
<span class="n">y2</span> <span class="o">=</span> <span class="mf">0.2</span> <span class="o">*</span> <span class="n">norm</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">norm</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mf">0.6</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">))</span> <span class="o">+</span> <span class="mf">0.1</span> <span class="o">*</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">sigmoid</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mf">0.75</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">))</span>
<span class="n">y3</span> <span class="o">=</span> <span class="mf">0.05</span> <span class="o">+</span> <span class="mf">1.4</span> <span class="o">*</span> <span class="n">norm</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mf">0.85</span><span class="p">,</span> <span class="mf">0.08</span><span class="p">)</span>
<span class="n">y3</span><span class="p">[</span><span class="n">x</span> <span class="o">&gt;</span> <span class="mf">0.85</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0.05</span> <span class="o">+</span> <span class="mf">1.4</span> <span class="o">*</span> <span class="n">norm</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="n">x</span> <span class="o">&gt;</span> <span class="mf">0.85</span><span class="p">],</span> <span class="mf">0.85</span><span class="p">,</span> <span class="mf">0.3</span><span class="p">)</span>
<span class="c"># draw the curves</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">pl</span><span class="o">.</span><span class="n">axes</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="n">x</span><span class="p">,</span> <span class="n">y1</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s">&#39;gray&#39;</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="n">x</span><span class="p">,</span> <span class="n">y2</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s">&#39;blue&#39;</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="n">x</span><span class="p">,</span> <span class="n">y3</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s">&#39;red&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.3</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.1</span><span class="p">,</span> <span class="s">&quot;Yard&quot;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.1</span><span class="p">,</span> <span class="s">&quot;Steps&quot;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.7</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.1</span><span class="p">,</span> <span class="s">&quot;Door&quot;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.9</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.1</span><span class="p">,</span> <span class="s">&quot;Inside&quot;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.05</span><span class="p">,</span> <span class="mf">1.1</span><span class="p">,</span> <span class="s">&quot;fear that</span><span class="se">\n</span><span class="s">there&#39;s</span><span class="se">\n</span><span class="s">something</span><span class="se">\n</span><span class="s">behind me&quot;</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="mf">0.15</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">],</span> <span class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">],</span> <span class="s">&#39;-k&#39;</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">,</span> <span class="s">&quot;forward</span><span class="se">\n</span><span class="s">speed&quot;</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="mf">0.32</span><span class="p">,</span> <span class="mf">0.35</span><span class="p">],</span> <span class="p">[</span><span class="mf">0.75</span><span class="p">,</span> <span class="mf">0.35</span><span class="p">],</span> <span class="s">&#39;-k&#39;</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.9</span><span class="p">,</span> <span class="mf">0.4</span><span class="p">,</span> <span class="s">&quot;embarrassment&quot;</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="mf">1.0</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">],</span> <span class="p">[</span><span class="mf">0.55</span><span class="p">,</span> <span class="mf">1.05</span><span class="p">],</span> <span class="s">&#39;-k&#39;</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s">&quot;Walking back to my</span><span class="se">\n</span><span class="s">front door at night:&quot;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="n">ax</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="mf">1.5</span><span class="p">)</span>
<span class="c"># modify all the axes elements in-place</span>
<span class="n">XKCDify</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">expand_axes</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes.AxesSubplot at 0x2fef210&gt;</pre>
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<p>Pretty good for a couple hours's work!</p>
<p>I think the possibilities here are pretty limitless: this is going to be a hugely
useful and popular feature in matplotlib, especially when the sketch artist PR is mature
and part of the main package. I imagine using this style of plot for schematic figures
in presentations where the normal crisp matplotlib lines look a bit too "scientific".
I'm giving a few talks at the end of the month... maybe I'll even use some of
this code there.</p>
<p>This post was written entirely in an IPython Notebook: the notebook file is available for
download <a href="http://jakevdp.github.com/downloads/notebooks/XKCD_plots.ipynb">here</a>.
For more information on blogging with notebooks in octopress, see my
<a href="http://jakevdp.github.com/blog/2012/10/04/blogging-with-ipython/">previous post</a>
on the subject.</p>
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