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<h1>Source code for pyFTS.data.mackey_glass</h1><div class="highlight"><pre>
<span></span><span class="sd">"""</span>
<span class="sd">Mackey, M. C. and Glass, L. (1977). Oscillation and chaos in physiological control systems.</span>
<span class="sd">Science, 197(4300):287-289.</span>
<span class="sd">dy/dt = -by(t)+ cy(t - tau) / 1+y(t-tau)^10</span>
<span class="sd">"""</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<div class="viewcode-block" id="get_data"><a class="viewcode-back" href="../../../pyFTS.data.html#pyFTS.data.mackey_glass.get_data">[docs]</a><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">b</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">tau</span><span class="o">=</span><span class="mi">17</span><span class="p">,</span> <span class="n">initial_values</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="mf">0.5</span><span class="p">,</span><span class="mf">1.5</span><span class="p">,</span> <span class="mi">18</span><span class="p">),</span> <span class="n">iterations</span><span class="o">=</span><span class="mi">1000</span><span class="p">):</span>
<span class="sd">'''</span>
<span class="sd"> Return a list with the Mackey-Glass chaotic time series.</span>
<span class="sd"> :param b: Equation coefficient</span>
<span class="sd"> :param c: Equation coefficient</span>
<span class="sd"> :param tau: Lag parameter, default: 17</span>
<span class="sd"> :param initial_values: numpy array with the initial values of y. Default: np.linspace(0.5,1.5,18)</span>
<span class="sd"> :param iterations: number of iterations. Default: 1000</span>
<span class="sd"> :return:</span>
<span class="sd"> '''</span>
<span class="n">y</span> <span class="o">=</span> <span class="n">initial_values</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
<span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</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="n">iterations</span><span class="o">+</span><span class="mi">100</span><span class="p">):</span>
<span class="n">y</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">y</span><span class="p">[</span><span class="n">n</span><span class="p">]</span> <span class="o">-</span> <span class="n">b</span> <span class="o">*</span> <span class="n">y</span><span class="p">[</span><span class="n">n</span><span class="p">]</span> <span class="o">+</span> <span class="n">c</span> <span class="o">*</span> <span class="n">y</span><span class="p">[</span><span class="n">n</span> <span class="o">-</span> <span class="n">tau</span><span class="p">]</span> <span class="o">/</span> <span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="n">y</span><span class="p">[</span><span class="n">n</span> <span class="o">-</span> <span class="n">tau</span><span class="p">]</span> <span class="o">**</span> <span class="mi">10</span><span class="p">))</span>
<span class="k">return</span> <span class="n">y</span><span class="p">[</span><span class="mi">100</span><span class="p">:]</span></div>
</pre></div>
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