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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"

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<span id="api-date-index-formatter"></span><h1>api example code: date_index_formatter.py<a class="headerlink" href="#api-example-code-date-index-formatter-py" title="Permalink to this headline">¶</a></h1>

<p>(<a class="reference external" href="../../mpl_examples/api/date_index_formatter.py">Source code</a>)</p>

<p class="caption"><span class="caption-text">(<a class="reference external" href="../../mpl_examples/api/date_index_formatter_00.png">png</a>, <a class="reference external" href="../../mpl_examples/api/date_index_formatter_00.hires.png">hires.png</a>, <a class="reference external" href="../../mpl_examples/api/date_index_formatter_00.pdf">pdf</a>)</span></p>

</div>

<p class="caption"><span class="caption-text">(<a class="reference external" href="../../mpl_examples/api/date_index_formatter_01.png">png</a>, <a class="reference external" href="../../mpl_examples/api/date_index_formatter_01.hires.png">hires.png</a>, <a class="reference external" href="../../mpl_examples/api/date_index_formatter_01.pdf">pdf</a>)</span></p>

</div>

<span class="sd">When plotting time series, e.g., financial time series, one often wants</span>

<span class="sd">to leave out days on which there is no data, eh weekends. The example</span>

<span class="sd">below shows how to use an 'index formatter' to achieve the desired plot</span>

<span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">print_function</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">matplotlib.pyplot</span> <span class="kn">as</span> <span class="nn">plt</span>

<span class="kn">import</span> <span class="nn">matplotlib.mlab</span> <span class="kn">as</span> <span class="nn">mlab</span>

<span class="kn">import</span> <span class="nn">matplotlib.cbook</span> <span class="kn">as</span> <span class="nn">cbook</span>

<span class="kn">import</span> <span class="nn">matplotlib.ticker</span> <span class="kn">as</span> <span class="nn">ticker</span>

<span class="n">datafile</span> <span class="o">=</span> <span class="n">cbook</span><span class="o">.</span><span class="n">get_sample_data</span><span class="p">(</span><span class="s1">'aapl.csv'</span><span class="p">,</span> <span class="n">asfileobj</span><span class="o">=</span><span class="bp">False</span><span class="p">)</span>

<span class="k">print</span><span class="p">(</span><span class="s1">'loading </span><span class="si">%s</span><span class="s1">'</span> <span class="o">%</span> <span class="n">datafile</span><span class="p">)</span>

<span class="n">r</span> <span class="o">=</span> <span class="n">mlab</span><span class="o">.</span><span class="n">csv2rec</span><span class="p">(</span><span class="n">datafile</span><span class="p">)</span>

<span class="c1"># first we'll do it the default way, with gaps on weekends</span>

<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</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">r</span><span class="o">.</span><span class="n">date</span><span class="p">,</span> <span class="n">r</span><span class="o">.</span><span class="n">adj_close</span><span class="p">,</span> <span class="s1">'o-'</span><span class="p">)</span>

<span class="n">fig</span><span class="o">.</span><span class="n">autofmt_xdate</span><span class="p">()</span>

<span class="c1"># next we'll write a custom formatter</span>

<span class="n">ind</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="n">N</span><span class="p">)</span> <span class="c1"># the evenly spaced plot indices</span>

<span class="k">def</span> <span class="nf">format_date</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">pos</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>

<span class="n">thisind</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="nb">int</span><span class="p">(</span><span class="n">x</span> <span class="o">+</span> <span class="mf">0.5</span><span class="p">),</span> <span class="mi">0</span><span class="p">,</span> <span class="n">N</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>

<span class="k">return</span> <span class="n">r</span><span class="o">.</span><span class="n">date</span><span class="p">[</span><span class="n">thisind</span><span class="p">]</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">'%Y-%m-</span><span class="si">%d</span><span class="s1">'</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">ind</span><span class="p">,</span> <span class="n">r</span><span class="o">.</span><span class="n">adj_close</span><span class="p">,</span> <span class="s1">'o-'</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">set_major_formatter</span><span class="p">(</span><span class="n">ticker</span><span class="o">.</span><span class="n">FuncFormatter</span><span class="p">(</span><span class="n">format_date</span><span class="p">))</span>

<span class="n">fig</span><span class="o">.</span><span class="n">autofmt_xdate</span><span class="p">()</span>

</pre></div>

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<p>Keywords: python, matplotlib, pylab, example, codex (see <a class="reference internal" href="../../faq/howto_faq.html#how-to-search-examples"><span>Search examples</span></a>)</p>

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