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337 <div·class="sphx-glr-script-out·highlight-none·notranslate"><div·class="highlight"><pre><span></span>[[Variables]]337 <div·class="sphx-glr-script-out·highlight-none·notranslate"><div·class="highlight"><pre><span></span>[[Variables]]
338 ····N:····7.11270194·+/-·0.24334895·(3.42%)·(init·=·10)338 ····N:····7.11270194·+/-·0.24334895·(3.42%)·(init·=·10)
339 ····tau:··2.92065227·+/-·0.13488230·(4.62%)·(init·=·1)339 ····tau:··2.92065227·+/-·0.13488230·(4.62%)·(init·=·1)
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347 <p><a·class="reference·download·internal"·download=""·href="../_downloads/a69966d88009a9341e88bfe1935158a7/example_Model_interface.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_Model_interface.ipynb</span></code></a></p>347 <p><a·class="reference·download·internal"·download=""·href="../_downloads/a69966d88009a9341e88bfe1935158a7/example_Model_interface.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_Model_interface.ipynb</span></code></a></p>
348 </div>348 </div>
349 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">349 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
350 <p><a·class="reference·download·internal"·download=""·href="../_downloads/8b2fe0a32f4790de5b0465c00682a37b/example_Model_interface.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_Model_interface.py</span></code></a></p>350 <p><a·class="reference·download·internal"·download=""·href="../_downloads/8b2fe0a32f4790de5b0465c00682a37b/example_Model_interface.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_Model_interface.py</span></code></a></p>
351 </div>351 </div>
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179 result·=·model.fit(truncated_data_with_holes,·params,·t=t)179 result·=·model.fit(truncated_data_with_holes,·params,·t=t)
180 report_fit(result.params)180 report_fit(result.params)
181 [[Variables]]181 [[Variables]]
182 ····N:····7.11270194·+/-·0.24334895·(3.42%)·(init·=·10)182 ····N:····7.11270194·+/-·0.24334895·(3.42%)·(init·=·10)
183 ····tau:··2.92065227·+/-·0.13488230·(4.62%)·(init·=·1)183 ····tau:··2.92065227·+/-·0.13488230·(4.62%)·(init·=·1)
184 [[Correlations]]·(unreported·correlations·are·<·0.100)184 [[Correlations]]·(unreported·correlations·are·<·0.100)
185 ····C(N,·tau)·=·-0.9320185 ····C(N,·tau)·=·-0.9320
186 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.426·seconds)186 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.470·seconds)
187 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8M_\x8o_\x8d_\x8e_\x8l_\x8__\x8i_\x8n_\x8t_\x8e_\x8r_\x8f_\x8a_\x8c_\x8e_\x8._\x8i_\x8p_\x8y_\x8n_\x8b187 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8M_\x8o_\x8d_\x8e_\x8l_\x8__\x8i_\x8n_\x8t_\x8e_\x8r_\x8f_\x8a_\x8c_\x8e_\x8._\x8i_\x8p_\x8y_\x8n_\x8b
188 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8M_\x8o_\x8d_\x8e_\x8l_\x8__\x8i_\x8n_\x8t_\x8e_\x8r_\x8f_\x8a_\x8c_\x8e_\x8._\x8p_\x8y188 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8M_\x8o_\x8d_\x8e_\x8l_\x8__\x8i_\x8n_\x8t_\x8e_\x8r_\x8f_\x8a_\x8c_\x8e_\x8._\x8p_\x8y
189 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y189 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
190 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*190 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
191 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x191 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
192 ····*·_\x8n_\x8e_\x8x_\x8t·|192 ····*·_\x8n_\x8e_\x8x_\x8t·|
193 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|193 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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649 </pre></div>649 </pre></div>
650 </div>650 </div>
651 <p>and·finally,·to·generated·the·figure:</p>651 <p>and·finally,·to·generated·the·figure:</p>
652 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plot_results_brute</span><span·class="p">(</span><span·class="n">result_brute</span><span·class="p">,</span>·<span·class="n">best_vals</span><span·class="o">=</span><span·class="kc">True</span><span·class="p">,</span>·<span·class="n">varlabels</span><span·class="o">=</span><span·class="kc">None</span><span·class="p">)</span>652 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plot_results_brute</span><span·class="p">(</span><span·class="n">result_brute</span><span·class="p">,</span>·<span·class="n">best_vals</span><span·class="o">=</span><span·class="kc">True</span><span·class="p">,</span>·<span·class="n">varlabels</span><span·class="o">=</span><span·class="kc">None</span><span·class="p">)</span>
653 <span·class="n">plt</span><span·class="o">.</span><span·class="n">show</span><span·class="p">()</span>653 <span·class="n">plt</span><span·class="o">.</span><span·class="n">show</span><span·class="p">()</span>
654 </pre></div>654 </pre></div>
655 </div>655 </div>
656 <img·src="../_images/sphx_glr_example_brute_004.png"·srcset="../_images/sphx_glr_example_brute_004.png,·../_images/sphx_glr_example_brute_004_3_00x.png·3.00x"·alt="example·brute"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·25.253·seconds)</p>656 <img·src="../_images/sphx_glr_example_brute_004.png"·srcset="../_images/sphx_glr_example_brute_004.png,·../_images/sphx_glr_example_brute_004_3_00x.png·3.00x"·alt="example·brute"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·46.498·seconds)</p>
657 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-brute-py">657 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-brute-py">
658 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">658 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
659 <p><a·class="reference·download·internal"·download=""·href="../_downloads/9254f2af7eef00978dc5823dc5418985/example_brute.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_brute.ipynb</span></code></a></p>659 <p><a·class="reference·download·internal"·download=""·href="../_downloads/9254f2af7eef00978dc5823dc5418985/example_brute.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_brute.ipynb</span></code></a></p>
660 </div>660 </div>
661 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">661 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
662 <p><a·class="reference·download·internal"·download=""·href="../_downloads/c004866ac6395edd2609ff96cecdc255/example_brute.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_brute.py</span></code></a></p>662 <p><a·class="reference·download·internal"·download=""·href="../_downloads/c004866ac6395edd2609ff96cecdc255/example_brute.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_brute.py</span></code></a></p>
663 </div>663 </div>
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476 ····if·output·is·not·None:476 ····if·output·is·not·None:
477 ········plt.savefig(output)477 ········plt.savefig(output)
478 and·finally,·to·generated·the·figure:478 and·finally,·to·generated·the·figure:
479 plot_results_brute(result_brute,·best_vals=True,·varlabels=None)479 plot_results_brute(result_brute,·best_vals=True,·varlabels=None)
480 plt.show()480 plt.show()
481 [example·brute]481 [example·brute]
482 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·25.253·seconds)482 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·46.498·seconds)
483 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8b_\x8r_\x8u_\x8t_\x8e_\x8._\x8i_\x8p_\x8y_\x8n_\x8b483 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8b_\x8r_\x8u_\x8t_\x8e_\x8._\x8i_\x8p_\x8y_\x8n_\x8b
484 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8b_\x8r_\x8u_\x8t_\x8e_\x8._\x8p_\x8y484 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8b_\x8r_\x8u_\x8t_\x8e_\x8._\x8p_\x8y
485 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y485 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
486 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*486 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
487 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x487 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
488 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|488 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
489 ····*·[·_\x8i_\x8n_\x8t_\x8r_\x8o·|489 ····*·[·_\x8i_\x8n_\x8t_\x8r_\x8o·|
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./usr/share/doc/python3-lmfit/html/examples/example_complex_resonator_model.html
    
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278 <span·class="n">plt</span><span·class="o">.</span><span·class="n">xlabel</span><span·class="p">(</span><span·class="s1">&#39;MHz&#39;</span><span·class="p">)</span>278 <span·class="n">plt</span><span·class="o">.</span><span·class="n">xlabel</span><span·class="p">(</span><span·class="s1">&#39;MHz&#39;</span><span·class="p">)</span>
279 </pre></div>279 </pre></div>
280 </div>280 </div>
281 <ul·class="sphx-glr-horizontal">281 <ul·class="sphx-glr-horizontal">
282 <li><img·src="../_images/sphx_glr_example_complex_resonator_model_002.png"·srcset="../_images/sphx_glr_example_complex_resonator_model_002.png,·../_images/sphx_glr_example_complex_resonator_model_002_3_00x.png·3.00x"·alt="example·complex·resonator·model"·class·=·"sphx-glr-multi-img"/></li>282 <li><img·src="../_images/sphx_glr_example_complex_resonator_model_002.png"·srcset="../_images/sphx_glr_example_complex_resonator_model_002.png,·../_images/sphx_glr_example_complex_resonator_model_002_3_00x.png·3.00x"·alt="example·complex·resonator·model"·class·=·"sphx-glr-multi-img"/></li>
283 <li><img·src="../_images/sphx_glr_example_complex_resonator_model_003.png"·srcset="../_images/sphx_glr_example_complex_resonator_model_003.png,·../_images/sphx_glr_example_complex_resonator_model_003_3_00x.png·3.00x"·alt="example·complex·resonator·model"·class·=·"sphx-glr-multi-img"/></li>283 <li><img·src="../_images/sphx_glr_example_complex_resonator_model_003.png"·srcset="../_images/sphx_glr_example_complex_resonator_model_003.png,·../_images/sphx_glr_example_complex_resonator_model_003_3_00x.png·3.00x"·alt="example·complex·resonator·model"·class·=·"sphx-glr-multi-img"/></li>
284 </ul>284 </ul>
285 <p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.768·seconds)</p>285 <p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·1.020·seconds)</p>
286 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-complex-resonator-model-py">286 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-complex-resonator-model-py">
287 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">287 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
288 <p><a·class="reference·download·internal"·download=""·href="../_downloads/3dcc7459227dbd4ba1982949be8491e1/example_complex_resonator_model.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_complex_resonator_model.ipynb</span></code></a></p>288 <p><a·class="reference·download·internal"·download=""·href="../_downloads/3dcc7459227dbd4ba1982949be8491e1/example_complex_resonator_model.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_complex_resonator_model.ipynb</span></code></a></p>
289 </div>289 </div>
290 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">290 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
291 <p><a·class="reference·download·internal"·download=""·href="../_downloads/3805fc8171e8a0686d5cf65be55085ee/example_complex_resonator_model.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_complex_resonator_model.py</span></code></a></p>291 <p><a·class="reference·download·internal"·download=""·href="../_downloads/3805fc8171e8a0686d5cf65be55085ee/example_complex_resonator_model.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_complex_resonator_model.py</span></code></a></p>
292 </div>292 </div>
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158 plt.plot(f,·20*np.log10(np.abs(fit_s21)),·'.-',·label='best·fit')158 plt.plot(f,·20*np.log10(np.abs(fit_s21)),·'.-',·label='best·fit')
159 plt.plot(f,·20*np.log10(np.abs(guess_s21)),·'--',·label='initial·fit')159 plt.plot(f,·20*np.log10(np.abs(guess_s21)),·'--',·label='initial·fit')
160 plt.legend()160 plt.legend()
161 plt.ylabel('|S21|·(dB)')161 plt.ylabel('|S21|·(dB)')
162 plt.xlabel('MHz')162 plt.xlabel('MHz')
163 ····*·[example·complex·resonator·model]163 ····*·[example·complex·resonator·model]
164 ····*·[example·complex·resonator·model]164 ····*·[example·complex·resonator·model]
165 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.768·seconds)165 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·1.020·seconds)
166 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8c_\x8o_\x8m_\x8p_\x8l_\x8e_\x8x_\x8__\x8r_\x8e_\x8s_\x8o_\x8n_\x8a_\x8t_\x8o_\x8r_\x8__\x8m_\x8o_\x8d_\x8e_\x8l_\x8._\x8i_\x8p_\x8y_\x8n_\x8b166 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8c_\x8o_\x8m_\x8p_\x8l_\x8e_\x8x_\x8__\x8r_\x8e_\x8s_\x8o_\x8n_\x8a_\x8t_\x8o_\x8r_\x8__\x8m_\x8o_\x8d_\x8e_\x8l_\x8._\x8i_\x8p_\x8y_\x8n_\x8b
167 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8c_\x8o_\x8m_\x8p_\x8l_\x8e_\x8x_\x8__\x8r_\x8e_\x8s_\x8o_\x8n_\x8a_\x8t_\x8o_\x8r_\x8__\x8m_\x8o_\x8d_\x8e_\x8l_\x8._\x8p_\x8y167 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8c_\x8o_\x8m_\x8p_\x8l_\x8e_\x8x_\x8__\x8r_\x8e_\x8s_\x8o_\x8n_\x8a_\x8t_\x8o_\x8r_\x8__\x8m_\x8o_\x8d_\x8e_\x8l_\x8._\x8p_\x8y
168 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y168 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
169 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*169 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
170 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x170 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
171 ····*·_\x8n_\x8e_\x8x_\x8t·|171 ····*·_\x8n_\x8e_\x8x_\x8t·|
172 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|172 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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./usr/share/doc/python3-lmfit/html/examples/example_confidence_interval.html
    
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291 ············<span·class="n">plt</span><span·class="o">.</span><span·class="n">ylabel</span><span·class="p">(</span><span·class="s1">&#39;prob&#39;</span><span·class="p">)</span>291 ············<span·class="n">plt</span><span·class="o">.</span><span·class="n">ylabel</span><span·class="p">(</span><span·class="s1">&#39;prob&#39;</span><span·class="p">)</span>
292 ············<span·class="n">ax</span><span·class="o">.</span><span·class="n">tick_params</span><span·class="p">(</span><span·class="n">labelleft</span><span·class="o">=</span><span·class="kc">True</span><span·class="p">)</span>292 ············<span·class="n">ax</span><span·class="o">.</span><span·class="n">tick_params</span><span·class="p">(</span><span·class="n">labelleft</span><span·class="o">=</span><span·class="kc">True</span><span·class="p">)</span>
  
293 <span·class="n">plt</span><span·class="o">.</span><span·class="n">tight_layout</span><span·class="p">()</span>293 <span·class="n">plt</span><span·class="o">.</span><span·class="n">tight_layout</span><span·class="p">()</span>
294 <span·class="n">plt</span><span·class="o">.</span><span·class="n">show</span><span·class="p">()</span>294 <span·class="n">plt</span><span·class="o">.</span><span·class="n">show</span><span·class="p">()</span>
295 </pre></div>295 </pre></div>
296 </div>296 </div>
297 <img·src="../_images/sphx_glr_example_confidence_interval_002.png"·srcset="../_images/sphx_glr_example_confidence_interval_002.png,·../_images/sphx_glr_example_confidence_interval_002_3_00x.png·3.00x"·alt="example·confidence·interval"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·20.277·seconds)</p>297 <img·src="../_images/sphx_glr_example_confidence_interval_002.png"·srcset="../_images/sphx_glr_example_confidence_interval_002.png,·../_images/sphx_glr_example_confidence_interval_002_3_00x.png·3.00x"·alt="example·confidence·interval"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·27.249·seconds)</p>
298 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-confidence-interval-py">298 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-confidence-interval-py">
299 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">299 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
300 <p><a·class="reference·download·internal"·download=""·href="../_downloads/2c0316848a8a5e58fdf5c1bd1978018e/example_confidence_interval.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_confidence_interval.ipynb</span></code></a></p>300 <p><a·class="reference·download·internal"·download=""·href="../_downloads/2c0316848a8a5e58fdf5c1bd1978018e/example_confidence_interval.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_confidence_interval.ipynb</span></code></a></p>
301 </div>301 </div>
302 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">302 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
303 <p><a·class="reference·download·internal"·download=""·href="../_downloads/b6a243851aa5b1d7362705005c5ed3b1/example_confidence_interval.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_confidence_interval.py</span></code></a></p>303 <p><a·class="reference·download·internal"·download=""·href="../_downloads/b6a243851aa5b1d7362705005c5ed3b1/example_confidence_interval.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_confidence_interval.py</span></code></a></p>
304 </div>304 </div>
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171 ············plt.plot(xn,·f(xn),·lw=1)171 ············plt.plot(xn,·f(xn),·lw=1)
172 ············plt.ylabel('prob')172 ············plt.ylabel('prob')
173 ············ax.tick_params(labelleft=True)173 ············ax.tick_params(labelleft=True)
  
174 plt.tight_layout()174 plt.tight_layout()
175 plt.show()175 plt.show()
176 [example·confidence·interval]176 [example·confidence·interval]
177 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·20.277·seconds)177 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·27.249·seconds)
178 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8c_\x8o_\x8n_\x8f_\x8i_\x8d_\x8e_\x8n_\x8c_\x8e_\x8__\x8i_\x8n_\x8t_\x8e_\x8r_\x8v_\x8a_\x8l_\x8._\x8i_\x8p_\x8y_\x8n_\x8b178 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8c_\x8o_\x8n_\x8f_\x8i_\x8d_\x8e_\x8n_\x8c_\x8e_\x8__\x8i_\x8n_\x8t_\x8e_\x8r_\x8v_\x8a_\x8l_\x8._\x8i_\x8p_\x8y_\x8n_\x8b
179 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8c_\x8o_\x8n_\x8f_\x8i_\x8d_\x8e_\x8n_\x8c_\x8e_\x8__\x8i_\x8n_\x8t_\x8e_\x8r_\x8v_\x8a_\x8l_\x8._\x8p_\x8y179 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8c_\x8o_\x8n_\x8f_\x8i_\x8d_\x8e_\x8n_\x8c_\x8e_\x8__\x8i_\x8n_\x8t_\x8e_\x8r_\x8v_\x8a_\x8l_\x8._\x8p_\x8y
180 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y180 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
181 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*181 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
182 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x182 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
183 ····*·_\x8n_\x8e_\x8x_\x8t·|183 ····*·_\x8n_\x8e_\x8x_\x8t·|
184 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|184 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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./usr/share/doc/python3-lmfit/html/examples/example_detect_outliers.html
    
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240 <span·class="n">axs</span><span·class="p">[</span><span·class="mi">3</span><span·class="p">]</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">stderrs</span><span·class="p">[</span><span·class="s1">&#39;b&#39;</span><span·class="p">])</span>240 <span·class="n">axs</span><span·class="p">[</span><span·class="mi">3</span><span·class="p">]</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">stderrs</span><span·class="p">[</span><span·class="s1">&#39;b&#39;</span><span·class="p">])</span>
241 <span·class="n">axs</span><span·class="p">[</span><span·class="mi">3</span><span·class="p">]</span><span·class="o">.</span><span·class="n">scatter</span><span·class="p">(</span><span·class="n">x</span><span·class="p">[</span><span·class="n">idx</span><span·class="p">],</span>·<span·class="n">stderrs</span><span·class="p">[</span><span·class="s1">&#39;b&#39;</span><span·class="p">][</span><span·class="n">idx</span><span·class="p">],</span>·<span·class="n">color</span><span·class="o">=</span><span·class="s1">&#39;r&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;outlier&#39;</span><span·class="p">)</span>241 <span·class="n">axs</span><span·class="p">[</span><span·class="mi">3</span><span·class="p">]</span><span·class="o">.</span><span·class="n">scatter</span><span·class="p">(</span><span·class="n">x</span><span·class="p">[</span><span·class="n">idx</span><span·class="p">],</span>·<span·class="n">stderrs</span><span·class="p">[</span><span·class="s1">&#39;b&#39;</span><span·class="p">][</span><span·class="n">idx</span><span·class="p">],</span>·<span·class="n">color</span><span·class="o">=</span><span·class="s1">&#39;r&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;outlier&#39;</span><span·class="p">)</span>
242 <span·class="n">axs</span><span·class="p">[</span><span·class="mi">3</span><span·class="p">]</span><span·class="o">.</span><span·class="n">set_ylabel</span><span·class="p">(</span><span·class="s1">&#39;err·b·change&#39;</span><span·class="p">)</span>242 <span·class="n">axs</span><span·class="p">[</span><span·class="mi">3</span><span·class="p">]</span><span·class="o">.</span><span·class="n">set_ylabel</span><span·class="p">(</span><span·class="s1">&#39;err·b·change&#39;</span><span·class="p">)</span>
  
243 <span·class="n">axs</span><span·class="p">[</span><span·class="mi">3</span><span·class="p">]</span><span·class="o">.</span><span·class="n">set_xlabel</span><span·class="p">(</span><span·class="s1">&#39;x&#39;</span><span·class="p">)</span>243 <span·class="n">axs</span><span·class="p">[</span><span·class="mi">3</span><span·class="p">]</span><span·class="o">.</span><span·class="n">set_xlabel</span><span·class="p">(</span><span·class="s1">&#39;x&#39;</span><span·class="p">)</span>
244 </pre></div>244 </pre></div>
245 </div>245 </div>
246 <img·src="../_images/sphx_glr_example_detect_outliers_003.png"·srcset="../_images/sphx_glr_example_detect_outliers_003.png,·../_images/sphx_glr_example_detect_outliers_003_3_00x.png·3.00x"·alt="example·detect·outliers"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·1.437·seconds)</p>246 <img·src="../_images/sphx_glr_example_detect_outliers_003.png"·srcset="../_images/sphx_glr_example_detect_outliers_003.png,·../_images/sphx_glr_example_detect_outliers_003_3_00x.png·3.00x"·alt="example·detect·outliers"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·1.703·seconds)</p>
247 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-detect-outliers-py">247 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-detect-outliers-py">
248 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">248 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
249 <p><a·class="reference·download·internal"·download=""·href="../_downloads/a4a9bd70fc277eac0b5a505f48c84a99/example_detect_outliers.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_detect_outliers.ipynb</span></code></a></p>249 <p><a·class="reference·download·internal"·download=""·href="../_downloads/a4a9bd70fc277eac0b5a505f48c84a99/example_detect_outliers.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_detect_outliers.ipynb</span></code></a></p>
250 </div>250 </div>
251 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">251 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
252 <p><a·class="reference·download·internal"·download=""·href="../_downloads/997bd062873174254128e513e48dc191/example_detect_outliers.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_detect_outliers.py</span></code></a></p>252 <p><a·class="reference·download·internal"·download=""·href="../_downloads/997bd062873174254128e513e48dc191/example_detect_outliers.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_detect_outliers.py</span></code></a></p>
253 </div>253 </div>
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117 axs[3].plot(x,·stderrs['b'])117 axs[3].plot(x,·stderrs['b'])
118 axs[3].scatter(x[idx],·stderrs['b'][idx],·color='r',·label='outlier')118 axs[3].scatter(x[idx],·stderrs['b'][idx],·color='r',·label='outlier')
119 axs[3].set_ylabel('err·b·change')119 axs[3].set_ylabel('err·b·change')
  
120 axs[3].set_xlabel('x')120 axs[3].set_xlabel('x')
121 [example·detect·outliers]121 [example·detect·outliers]
122 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·1.437·seconds)122 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·1.703·seconds)
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124 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8d_\x8e_\x8t_\x8e_\x8c_\x8t_\x8__\x8o_\x8u_\x8t_\x8l_\x8i_\x8e_\x8r_\x8s_\x8._\x8p_\x8y124 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8d_\x8e_\x8t_\x8e_\x8c_\x8t_\x8__\x8o_\x8u_\x8t_\x8l_\x8i_\x8e_\x8r_\x8s_\x8._\x8p_\x8y
125 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y125 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
126 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*126 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
127 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x127 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
128 ····*·_\x8n_\x8e_\x8x_\x8t·|128 ····*·_\x8n_\x8e_\x8x_\x8t·|
129 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|129 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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./usr/share/doc/python3-lmfit/html/examples/example_diffev.html
    
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223 </div>223 </div>
224 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plt</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">yn</span><span·class="p">,</span>·<span·class="s1">&#39;o&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;data&#39;</span><span·class="p">)</span>224 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plt</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">yn</span><span·class="p">,</span>·<span·class="s1">&#39;o&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;data&#39;</span><span·class="p">)</span>
225 <span·class="n">plt</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">yn</span><span·class="o">+</span><span·class="n">o1</span><span·class="o">.</span><span·class="n">residual</span><span·class="p">,</span>·<span·class="s1">&#39;-&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;leastsq&#39;</span><span·class="p">)</span>225 <span·class="n">plt</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">yn</span><span·class="o">+</span><span·class="n">o1</span><span·class="o">.</span><span·class="n">residual</span><span·class="p">,</span>·<span·class="s1">&#39;-&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;leastsq&#39;</span><span·class="p">)</span>
226 <span·class="n">plt</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">yn</span><span·class="o">+</span><span·class="n">o2</span><span·class="o">.</span><span·class="n">residual</span><span·class="p">,</span>·<span·class="s1">&#39;--&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;diffev&#39;</span><span·class="p">)</span>226 <span·class="n">plt</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">yn</span><span·class="o">+</span><span·class="n">o2</span><span·class="o">.</span><span·class="n">residual</span><span·class="p">,</span>·<span·class="s1">&#39;--&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;diffev&#39;</span><span·class="p">)</span>
227 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>227 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>
228 </pre></div>228 </pre></div>
229 </div>229 </div>
230 <img·src="../_images/sphx_glr_example_diffev_001.png"·srcset="../_images/sphx_glr_example_diffev_001.png,·../_images/sphx_glr_example_diffev_001_3_00x.png·3.00x"·alt="example·diffev"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.510·seconds)</p>230 <img·src="../_images/sphx_glr_example_diffev_001.png"·srcset="../_images/sphx_glr_example_diffev_001.png,·../_images/sphx_glr_example_diffev_001_3_00x.png·3.00x"·alt="example·diffev"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.683·seconds)</p>
231 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-diffev-py">231 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-diffev-py">
232 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">232 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
233 <p><a·class="reference·download·internal"·download=""·href="../_downloads/b14ecb1d89648d4116095890700c90a4/example_diffev.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_diffev.ipynb</span></code></a></p>233 <p><a·class="reference·download·internal"·download=""·href="../_downloads/b14ecb1d89648d4116095890700c90a4/example_diffev.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_diffev.ipynb</span></code></a></p>
234 </div>234 </div>
235 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">235 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
236 <p><a·class="reference·download·internal"·download=""·href="../_downloads/9be2a6edec6597f9b4fc9ae817df3c9e/example_diffev.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_diffev.py</span></code></a></p>236 <p><a·class="reference·download·internal"·download=""·href="../_downloads/9be2a6edec6597f9b4fc9ae817df3c9e/example_diffev.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_diffev.py</span></code></a></p>
237 </div>237 </div>
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105 ····amp:·····1.80252706·(init·=·2.5)105 ····amp:·····1.80252706·(init·=·2.5)
106 ····decay:···5.76285777·(init·=·1)106 ····decay:···5.76285777·(init·=·1)
107 plt.plot(x,·yn,·'o',·label='data')107 plt.plot(x,·yn,·'o',·label='data')
108 plt.plot(x,·yn+o1.residual,·'-',·label='leastsq')108 plt.plot(x,·yn+o1.residual,·'-',·label='leastsq')
109 plt.plot(x,·yn+o2.residual,·'--',·label='diffev')109 plt.plot(x,·yn+o2.residual,·'--',·label='diffev')
110 plt.legend()110 plt.legend()
111 [example·diffev]111 [example·diffev]
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113 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8d_\x8i_\x8f_\x8f_\x8e_\x8v_\x8._\x8i_\x8p_\x8y_\x8n_\x8b113 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8d_\x8i_\x8f_\x8f_\x8e_\x8v_\x8._\x8i_\x8p_\x8y_\x8n_\x8b
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115 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y115 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
116 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*116 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
117 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x117 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
118 ····*·_\x8n_\x8e_\x8x_\x8t·|118 ····*·_\x8n_\x8e_\x8x_\x8t·|
119 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|119 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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181 </div>181 </div>
182 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plt</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">y</span><span·class="p">,</span>·<span·class="s1">&#39;o&#39;</span><span·class="p">)</span>182 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plt</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">y</span><span·class="p">,</span>·<span·class="s1">&#39;o&#39;</span><span·class="p">)</span>
183 <span·class="n">plt</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">result</span><span·class="o">.</span><span·class="n">init_fit</span><span·class="p">,</span>·<span·class="s1">&#39;--&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;initial·fit&#39;</span><span·class="p">)</span>183 <span·class="n">plt</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">result</span><span·class="o">.</span><span·class="n">init_fit</span><span·class="p">,</span>·<span·class="s1">&#39;--&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;initial·fit&#39;</span><span·class="p">)</span>
184 <span·class="n">plt</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">result</span><span·class="o">.</span><span·class="n">best_fit</span><span·class="p">,</span>·<span·class="s1">&#39;-&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;best·fit&#39;</span><span·class="p">)</span>184 <span·class="n">plt</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">result</span><span·class="o">.</span><span·class="n">best_fit</span><span·class="p">,</span>·<span·class="s1">&#39;-&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;best·fit&#39;</span><span·class="p">)</span>
185 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>185 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>
186 </pre></div>186 </pre></div>
187 </div>187 </div>
188 <img·src="../_images/sphx_glr_example_expression_model_001.png"·srcset="../_images/sphx_glr_example_expression_model_001.png,·../_images/sphx_glr_example_expression_model_001_3_00x.png·3.00x"·alt="example·expression·model"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.254·seconds)</p>188 <img·src="../_images/sphx_glr_example_expression_model_001.png"·srcset="../_images/sphx_glr_example_expression_model_001.png,·../_images/sphx_glr_example_expression_model_001_3_00x.png·3.00x"·alt="example·expression·model"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.382·seconds)</p>
189 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-expression-model-py">189 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-expression-model-py">
190 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">190 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
191 <p><a·class="reference·download·internal"·download=""·href="../_downloads/18a51e50a47e90524ad3b8de0632b714/example_expression_model.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_expression_model.ipynb</span></code></a></p>191 <p><a·class="reference·download·internal"·download=""·href="../_downloads/18a51e50a47e90524ad3b8de0632b714/example_expression_model.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_expression_model.ipynb</span></code></a></p>
192 </div>192 </div>
193 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">193 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
194 <p><a·class="reference·download·internal"·download=""·href="../_downloads/dd61d0d99d106be1eecc4533c0a813be/example_expression_model.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_expression_model.py</span></code></a></p>194 <p><a·class="reference·download·internal"·download=""·href="../_downloads/dd61d0d99d106be1eecc4533c0a813be/example_expression_model.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_expression_model.py</span></code></a></p>
195 </div>195 </div>
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64 [[Correlations]]·(unreported·correlations·are·<·0.100)64 [[Correlations]]·(unreported·correlations·are·<·0.100)
65 ····C(amp,·wid)·=·+0.577465 ····C(amp,·wid)·=·+0.5774
66 plt.plot(x,·y,·'o')66 plt.plot(x,·y,·'o')
67 plt.plot(x,·result.init_fit,·'--',·label='initial·fit')67 plt.plot(x,·result.init_fit,·'--',·label='initial·fit')
68 plt.plot(x,·result.best_fit,·'-',·label='best·fit')68 plt.plot(x,·result.best_fit,·'-',·label='best·fit')
69 plt.legend()69 plt.legend()
70 [example·expression·model]70 [example·expression·model]
71 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.254·seconds)71 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.382·seconds)
72 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8e_\x8x_\x8p_\x8r_\x8e_\x8s_\x8s_\x8i_\x8o_\x8n_\x8__\x8m_\x8o_\x8d_\x8e_\x8l_\x8._\x8i_\x8p_\x8y_\x8n_\x8b72 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8e_\x8x_\x8p_\x8r_\x8e_\x8s_\x8s_\x8i_\x8o_\x8n_\x8__\x8m_\x8o_\x8d_\x8e_\x8l_\x8._\x8i_\x8p_\x8y_\x8n_\x8b
73 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8e_\x8x_\x8p_\x8r_\x8e_\x8s_\x8s_\x8i_\x8o_\x8n_\x8__\x8m_\x8o_\x8d_\x8e_\x8l_\x8._\x8p_\x8y73 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8e_\x8x_\x8p_\x8r_\x8e_\x8s_\x8s_\x8i_\x8o_\x8n_\x8__\x8m_\x8o_\x8d_\x8e_\x8l_\x8._\x8p_\x8y
74 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y74 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
75 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*75 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
76 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x76 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
77 ····*·_\x8n_\x8e_\x8x_\x8t·|77 ····*·_\x8n_\x8e_\x8x_\x8t·|
78 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|78 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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./usr/share/doc/python3-lmfit/html/examples/example_fit_multi_datasets.html
    
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230 <p>Plot·the·data·sets·and·fits</p>230 <p>Plot·the·data·sets·and·fits</p>
231 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plt</span><span·class="o">.</span><span·class="n">figure</span><span·class="p">()</span>231 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plt</span><span·class="o">.</span><span·class="n">figure</span><span·class="p">()</span>
232 <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="mi">5</span><span·class="p">):</span>232 <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="mi">5</span><span·class="p">):</span>
233 ····<span·class="n">y_fit</span>·<span·class="o">=</span>·<span·class="n">gauss_dataset</span><span·class="p">(</span><span·class="n">out</span><span·class="o">.</span><span·class="n">params</span><span·class="p">,</span>·<span·class="n">i</span><span·class="p">,</span>·<span·class="n">x</span><span·class="p">)</span>233 ····<span·class="n">y_fit</span>·<span·class="o">=</span>·<span·class="n">gauss_dataset</span><span·class="p">(</span><span·class="n">out</span><span·class="o">.</span><span·class="n">params</span><span·class="p">,</span>·<span·class="n">i</span><span·class="p">,</span>·<span·class="n">x</span><span·class="p">)</span>
234 ····<span·class="n">plt</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">data</span><span·class="p">[</span><span·class="n">i</span><span·class="p">,</span>·<span·class="p">:],</span>·<span·class="s1">&#39;o&#39;</span><span·class="p">,</span>·<span·class="n">x</span><span·class="p">,</span>·<span·class="n">y_fit</span><span·class="p">,</span>·<span·class="s1">&#39;-&#39;</span><span·class="p">)</span>234 ····<span·class="n">plt</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">data</span><span·class="p">[</span><span·class="n">i</span><span·class="p">,</span>·<span·class="p">:],</span>·<span·class="s1">&#39;o&#39;</span><span·class="p">,</span>·<span·class="n">x</span><span·class="p">,</span>·<span·class="n">y_fit</span><span·class="p">,</span>·<span·class="s1">&#39;-&#39;</span><span·class="p">)</span>
235 </pre></div>235 </pre></div>
236 </div>236 </div>
237 <img·src="../_images/sphx_glr_example_fit_multi_datasets_001.png"·srcset="../_images/sphx_glr_example_fit_multi_datasets_001.png,·../_images/sphx_glr_example_fit_multi_datasets_001_3_00x.png·3.00x"·alt="example·fit·multi·datasets"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.309·seconds)</p>237 <img·src="../_images/sphx_glr_example_fit_multi_datasets_001.png"·srcset="../_images/sphx_glr_example_fit_multi_datasets_001.png,·../_images/sphx_glr_example_fit_multi_datasets_001_3_00x.png·3.00x"·alt="example·fit·multi·datasets"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.279·seconds)</p>
238 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-fit-multi-datasets-py">238 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-fit-multi-datasets-py">
239 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">239 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
240 <p><a·class="reference·download·internal"·download=""·href="../_downloads/e9797dfaa256c029a43c2a364328ed36/example_fit_multi_datasets.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_fit_multi_datasets.ipynb</span></code></a></p>240 <p><a·class="reference·download·internal"·download=""·href="../_downloads/e9797dfaa256c029a43c2a364328ed36/example_fit_multi_datasets.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_fit_multi_datasets.ipynb</span></code></a></p>
241 </div>241 </div>
242 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">242 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
243 <p><a·class="reference·download·internal"·download=""·href="../_downloads/5c7aecfc832cba8709209d4aee80c638/example_fit_multi_datasets.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_fit_multi_datasets.py</span></code></a></p>243 <p><a·class="reference·download·internal"·download=""·href="../_downloads/5c7aecfc832cba8709209d4aee80c638/example_fit_multi_datasets.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_fit_multi_datasets.py</span></code></a></p>
244 </div>244 </div>
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111 ····C(amp_2,·amp_5)·=·+0.1092111 ····C(amp_2,·amp_5)·=·+0.1092
112 Plot·the·data·sets·and·fits112 Plot·the·data·sets·and·fits
113 plt.figure()113 plt.figure()
114 for·i·in·range(5):114 for·i·in·range(5):
115 ····y_fit·=·gauss_dataset(out.params,·i,·x)115 ····y_fit·=·gauss_dataset(out.params,·i,·x)
116 ····plt.plot(x,·data[i,·:],·'o',·x,·y_fit,·'-')116 ····plt.plot(x,·data[i,·:],·'o',·x,·y_fit,·'-')
117 [example·fit·multi·datasets]117 [example·fit·multi·datasets]
118 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.309·seconds)118 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.279·seconds)
119 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8m_\x8u_\x8l_\x8t_\x8i_\x8__\x8d_\x8a_\x8t_\x8a_\x8s_\x8e_\x8t_\x8s_\x8._\x8i_\x8p_\x8y_\x8n_\x8b119 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8m_\x8u_\x8l_\x8t_\x8i_\x8__\x8d_\x8a_\x8t_\x8a_\x8s_\x8e_\x8t_\x8s_\x8._\x8i_\x8p_\x8y_\x8n_\x8b
120 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8m_\x8u_\x8l_\x8t_\x8i_\x8__\x8d_\x8a_\x8t_\x8a_\x8s_\x8e_\x8t_\x8s_\x8._\x8p_\x8y120 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8m_\x8u_\x8l_\x8t_\x8i_\x8__\x8d_\x8a_\x8t_\x8a_\x8s_\x8e_\x8t_\x8s_\x8._\x8p_\x8y
121 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y121 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
122 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*122 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
123 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x123 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
124 ····*·_\x8n_\x8e_\x8x_\x8t·|124 ····*·_\x8n_\x8e_\x8x_\x8t·|
125 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|125 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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./usr/share/doc/python3-lmfit/html/examples/example_fit_with_algebraic_constraint.html
    
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210 ····C(g_sigma,·total_amplitude)········=·-0.4115210 ····C(g_sigma,·total_amplitude)········=·-0.4115
211 ····C(g_center,·line_intercept)········=·+0.3868211 ····C(g_center,·line_intercept)········=·+0.3868
212 ····C(g_amplitude,·line_intercept)·····=·+0.1834212 ····C(g_amplitude,·line_intercept)·····=·+0.1834
213 ····C(g_amplitude,·line_slope)·········=·+0.1825213 ····C(g_amplitude,·line_slope)·········=·+0.1825
214 ····C(g_sigma,·line_slope)·············=·+0.1739214 ····C(g_sigma,·line_slope)·············=·+0.1739
215 </pre></div>215 </pre></div>
216 </div>216 </div>
217 <p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.309·seconds)</p>217 <p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.351·seconds)</p>
218 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-fit-with-algebraic-constraint-py">218 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-fit-with-algebraic-constraint-py">
219 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">219 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
220 <p><a·class="reference·download·internal"·download=""·href="../_downloads/795f02254c8fb4ff85239a1247e0cdb3/example_fit_with_algebraic_constraint.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_fit_with_algebraic_constraint.ipynb</span></code></a></p>220 <p><a·class="reference·download·internal"·download=""·href="../_downloads/795f02254c8fb4ff85239a1247e0cdb3/example_fit_with_algebraic_constraint.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_fit_with_algebraic_constraint.ipynb</span></code></a></p>
221 </div>221 </div>
222 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">222 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
223 <p><a·class="reference·download·internal"·download=""·href="../_downloads/cb6735e259aa0fe1e9993a89862af987/example_fit_with_algebraic_constraint.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_fit_with_algebraic_constraint.py</span></code></a></p>223 <p><a·class="reference·download·internal"·download=""·href="../_downloads/cb6735e259aa0fe1e9993a89862af987/example_fit_with_algebraic_constraint.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_fit_with_algebraic_constraint.py</span></code></a></p>
224 </div>224 </div>
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106 ····C(g_amplitude,·total_amplitude)····=·-0.6115106 ····C(g_amplitude,·total_amplitude)····=·-0.6115
107 ····C(line_intercept,·total_amplitude)·=·-0.5883107 ····C(line_intercept,·total_amplitude)·=·-0.5883
108 ····C(g_sigma,·total_amplitude)········=·-0.4115108 ····C(g_sigma,·total_amplitude)········=·-0.4115
109 ····C(g_center,·line_intercept)········=·+0.3868109 ····C(g_center,·line_intercept)········=·+0.3868
110 ····C(g_amplitude,·line_intercept)·····=·+0.1834110 ····C(g_amplitude,·line_intercept)·····=·+0.1834
111 ····C(g_amplitude,·line_slope)·········=·+0.1825111 ····C(g_amplitude,·line_slope)·········=·+0.1825
112 ····C(g_sigma,·line_slope)·············=·+0.1739112 ····C(g_sigma,·line_slope)·············=·+0.1739
113 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.309·seconds)113 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.351·seconds)
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115 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8w_\x8i_\x8t_\x8h_\x8__\x8a_\x8l_\x8g_\x8e_\x8b_\x8r_\x8a_\x8i_\x8c_\x8__\x8c_\x8o_\x8n_\x8s_\x8t_\x8r_\x8a_\x8i_\x8n_\x8t_\x8._\x8p_\x8y115 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8w_\x8i_\x8t_\x8h_\x8__\x8a_\x8l_\x8g_\x8e_\x8b_\x8r_\x8a_\x8i_\x8c_\x8__\x8c_\x8o_\x8n_\x8s_\x8t_\x8r_\x8a_\x8i_\x8n_\x8t_\x8._\x8p_\x8y
116 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y116 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
117 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*117 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
118 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x118 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
119 ····*·_\x8n_\x8e_\x8x_\x8t·|119 ····*·_\x8n_\x8e_\x8x_\x8t·|
120 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|120 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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./usr/share/doc/python3-lmfit/html/examples/example_fit_with_bounds.html
    
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208 </div>208 </div>
209 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plt</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">data</span><span·class="p">,</span>·<span·class="s1">&#39;o&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;data&#39;</span><span·class="p">)</span>209 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plt</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">data</span><span·class="p">,</span>·<span·class="s1">&#39;o&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;data&#39;</span><span·class="p">)</span>
210 <span·class="n">plt</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">fit</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;best·fit&#39;</span><span·class="p">)</span>210 <span·class="n">plt</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">fit</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;best·fit&#39;</span><span·class="p">)</span>
211 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>211 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>
212 <span·class="n">plt</span><span·class="o">.</span><span·class="n">show</span><span·class="p">()</span>212 <span·class="n">plt</span><span·class="o">.</span><span·class="n">show</span><span·class="p">()</span>
213 </pre></div>213 </pre></div>
214 </div>214 </div>
215 <img·src="../_images/sphx_glr_example_fit_with_bounds_001.png"·srcset="../_images/sphx_glr_example_fit_with_bounds_001.png,·../_images/sphx_glr_example_fit_with_bounds_001_3_00x.png·3.00x"·alt="example·fit·with·bounds"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.280·seconds)</p>215 <img·src="../_images/sphx_glr_example_fit_with_bounds_001.png"·srcset="../_images/sphx_glr_example_fit_with_bounds_001.png,·../_images/sphx_glr_example_fit_with_bounds_001_3_00x.png·3.00x"·alt="example·fit·with·bounds"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.362·seconds)</p>
216 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-fit-with-bounds-py">216 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-fit-with-bounds-py">
217 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">217 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
218 <p><a·class="reference·download·internal"·download=""·href="../_downloads/fd01b33f1731fe67d0f89a803067a496/example_fit_with_bounds.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_fit_with_bounds.ipynb</span></code></a></p>218 <p><a·class="reference·download·internal"·download=""·href="../_downloads/fd01b33f1731fe67d0f89a803067a496/example_fit_with_bounds.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_fit_with_bounds.ipynb</span></code></a></p>
219 </div>219 </div>
220 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">220 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
221 <p><a·class="reference·download·internal"·download=""·href="../_downloads/27b87cac9cd9afd7fa73c15f10211608/example_fit_with_bounds.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_fit_with_bounds.py</span></code></a></p>221 <p><a·class="reference·download·internal"·download=""·href="../_downloads/27b87cac9cd9afd7fa73c15f10211608/example_fit_with_bounds.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_fit_with_bounds.py</span></code></a></p>
222 </div>222 </div>
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91 ··|·decay····|·+0.5757··|·-0.0404··|·-0.0502··|·+1.0000··|91 ··|·decay····|·+0.5757··|·-0.0404··|·-0.0502··|·+1.0000··|
92 ··+----------+----------+----------+----------+----------+92 ··+----------+----------+----------+----------+----------+
93 plt.plot(x,·data,·'o',·label='data')93 plt.plot(x,·data,·'o',·label='data')
94 plt.plot(x,·fit,·label='best·fit')94 plt.plot(x,·fit,·label='best·fit')
95 plt.legend()95 plt.legend()
96 plt.show()96 plt.show()
97 [example·fit·with·bounds]97 [example·fit·with·bounds]
98 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.280·seconds)98 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.362·seconds)
99 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8w_\x8i_\x8t_\x8h_\x8__\x8b_\x8o_\x8u_\x8n_\x8d_\x8s_\x8._\x8i_\x8p_\x8y_\x8n_\x8b99 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8w_\x8i_\x8t_\x8h_\x8__\x8b_\x8o_\x8u_\x8n_\x8d_\x8s_\x8._\x8i_\x8p_\x8y_\x8n_\x8b
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101 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y101 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
102 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*102 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
103 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x103 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
104 ····*·_\x8n_\x8e_\x8x_\x8t·|104 ····*·_\x8n_\x8e_\x8x_\x8t·|
105 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|105 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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214 both·methods:</p>214 both·methods:</p>
215 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plt</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">data</span><span·class="p">,</span>·<span·class="s1">&#39;o&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;data&#39;</span><span·class="p">)</span>215 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plt</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">data</span><span·class="p">,</span>·<span·class="s1">&#39;o&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;data&#39;</span><span·class="p">)</span>
216 <span·class="n">plt</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">fit1</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;with·analytical·derivative&#39;</span><span·class="p">)</span>216 <span·class="n">plt</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">fit1</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;with·analytical·derivative&#39;</span><span·class="p">)</span>
217 <span·class="n">plt</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">fit2</span><span·class="p">,</span>·<span·class="s1">&#39;--&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;without·analytical·derivative&#39;</span><span·class="p">)</span>217 <span·class="n">plt</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">fit2</span><span·class="p">,</span>·<span·class="s1">&#39;--&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;without·analytical·derivative&#39;</span><span·class="p">)</span>
218 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>218 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>
219 </pre></div>219 </pre></div>
220 </div>220 </div>
221 <img·src="../_images/sphx_glr_example_fit_with_derivfunc_001.png"·srcset="../_images/sphx_glr_example_fit_with_derivfunc_001.png,·../_images/sphx_glr_example_fit_with_derivfunc_001_3_00x.png·3.00x"·alt="example·fit·with·derivfunc"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.487·seconds)</p>221 <img·src="../_images/sphx_glr_example_fit_with_derivfunc_001.png"·srcset="../_images/sphx_glr_example_fit_with_derivfunc_001.png,·../_images/sphx_glr_example_fit_with_derivfunc_001_3_00x.png·3.00x"·alt="example·fit·with·derivfunc"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.292·seconds)</p>
222 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-fit-with-derivfunc-py">222 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-fit-with-derivfunc-py">
223 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">223 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
224 <p><a·class="reference·download·internal"·download=""·href="../_downloads/a48b6f5c2c4202cb67d15a117c5eb6bc/example_fit_with_derivfunc.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_fit_with_derivfunc.ipynb</span></code></a></p>224 <p><a·class="reference·download·internal"·download=""·href="../_downloads/a48b6f5c2c4202cb67d15a117c5eb6bc/example_fit_with_derivfunc.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_fit_with_derivfunc.ipynb</span></code></a></p>
225 </div>225 </div>
226 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">226 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
227 <p><a·class="reference·download·internal"·download=""·href="../_downloads/34710c8e386116e372179d0463d53c6a/example_fit_with_derivfunc.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_fit_with_derivfunc.py</span></code></a></p>227 <p><a·class="reference·download·internal"·download=""·href="../_downloads/34710c8e386116e372179d0463d53c6a/example_fit_with_derivfunc.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_fit_with_derivfunc.py</span></code></a></p>
228 </div>228 </div>
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100 and·the·best-fit·to·the·synthetic·data·(with·added·noise)·is·the·same·for·both100 and·the·best-fit·to·the·synthetic·data·(with·added·noise)·is·the·same·for·both
101 methods:101 methods:
102 plt.plot(x,·data,·'o',·label='data')102 plt.plot(x,·data,·'o',·label='data')
103 plt.plot(x,·fit1,·label='with·analytical·derivative')103 plt.plot(x,·fit1,·label='with·analytical·derivative')
104 plt.plot(x,·fit2,·'--',·label='without·analytical·derivative')104 plt.plot(x,·fit2,·'--',·label='without·analytical·derivative')
105 plt.legend()105 plt.legend()
106 [example·fit·with·derivfunc]106 [example·fit·with·derivfunc]
107 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.487·seconds)107 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.292·seconds)
108 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8w_\x8i_\x8t_\x8h_\x8__\x8d_\x8e_\x8r_\x8i_\x8v_\x8f_\x8u_\x8n_\x8c_\x8._\x8i_\x8p_\x8y_\x8n_\x8b108 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8w_\x8i_\x8t_\x8h_\x8__\x8d_\x8e_\x8r_\x8i_\x8v_\x8f_\x8u_\x8n_\x8c_\x8._\x8i_\x8p_\x8y_\x8n_\x8b
109 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8w_\x8i_\x8t_\x8h_\x8__\x8d_\x8e_\x8r_\x8i_\x8v_\x8f_\x8u_\x8n_\x8c_\x8._\x8p_\x8y109 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8w_\x8i_\x8t_\x8h_\x8__\x8d_\x8e_\x8r_\x8i_\x8v_\x8f_\x8u_\x8n_\x8c_\x8._\x8p_\x8y
110 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y110 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
111 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*111 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
112 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x112 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
113 ····*·_\x8n_\x8e_\x8x_\x8t·|113 ····*·_\x8n_\x8e_\x8x_\x8t·|
114 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|114 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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./usr/share/doc/python3-lmfit/html/examples/example_fit_with_inequality.html
    
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200 <p>and·figure:</p>200 <p>and·figure:</p>
201 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plt</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">data</span><span·class="p">,</span>·<span·class="s1">&#39;o&#39;</span><span·class="p">)</span>201 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">plt</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">data</span><span·class="p">,</span>·<span·class="s1">&#39;o&#39;</span><span·class="p">)</span>
202 <span·class="n">plt</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">best_fit</span><span·class="p">,</span>·<span·class="s1">&#39;--&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;best·fit&#39;</span><span·class="p">)</span>202 <span·class="n">plt</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">best_fit</span><span·class="p">,</span>·<span·class="s1">&#39;--&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;best·fit&#39;</span><span·class="p">)</span>
203 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>203 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>
204 <span·class="n">plt</span><span·class="o">.</span><span·class="n">show</span><span·class="p">()</span>204 <span·class="n">plt</span><span·class="o">.</span><span·class="n">show</span><span·class="p">()</span>
205 </pre></div>205 </pre></div>
206 </div>206 </div>
207 <img·src="../_images/sphx_glr_example_fit_with_inequality_001.png"·srcset="../_images/sphx_glr_example_fit_with_inequality_001.png,·../_images/sphx_glr_example_fit_with_inequality_001_3_00x.png·3.00x"·alt="example·fit·with·inequality"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.345·seconds)</p>207 <img·src="../_images/sphx_glr_example_fit_with_inequality_001.png"·srcset="../_images/sphx_glr_example_fit_with_inequality_001.png,·../_images/sphx_glr_example_fit_with_inequality_001_3_00x.png·3.00x"·alt="example·fit·with·inequality"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.524·seconds)</p>
208 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-fit-with-inequality-py">208 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-fit-with-inequality-py">
209 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">209 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
210 <p><a·class="reference·download·internal"·download=""·href="../_downloads/8cc2f5f768207b7533d24c7fd6035d90/example_fit_with_inequality.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_fit_with_inequality.ipynb</span></code></a></p>210 <p><a·class="reference·download·internal"·download=""·href="../_downloads/8cc2f5f768207b7533d24c7fd6035d90/example_fit_with_inequality.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_fit_with_inequality.ipynb</span></code></a></p>
211 </div>211 </div>
212 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">212 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
213 <p><a·class="reference·download·internal"·download=""·href="../_downloads/0372b8f3b0b615eb40855b665c11d339/example_fit_with_inequality.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_fit_with_inequality.py</span></code></a></p>213 <p><a·class="reference·download·internal"·download=""·href="../_downloads/0372b8f3b0b615eb40855b665c11d339/example_fit_with_inequality.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_fit_with_inequality.py</span></code></a></p>
214 </div>214 </div>
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84 ····C(cen_g,·wid_g)······=·+0.154684 ····C(cen_g,·wid_g)······=·+0.1546
85 and·figure:85 and·figure:
86 plt.plot(x,·data,·'o')86 plt.plot(x,·data,·'o')
87 plt.plot(x,·best_fit,·'--',·label='best·fit')87 plt.plot(x,·best_fit,·'--',·label='best·fit')
88 plt.legend()88 plt.legend()
89 plt.show()89 plt.show()
90 [example·fit·with·inequality]90 [example·fit·with·inequality]
91 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.345·seconds)91 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.524·seconds)
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93 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8w_\x8i_\x8t_\x8h_\x8__\x8i_\x8n_\x8e_\x8q_\x8u_\x8a_\x8l_\x8i_\x8t_\x8y_\x8._\x8p_\x8y93 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8f_\x8i_\x8t_\x8__\x8w_\x8i_\x8t_\x8h_\x8__\x8i_\x8n_\x8e_\x8q_\x8u_\x8a_\x8l_\x8i_\x8t_\x8y_\x8._\x8p_\x8y
94 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y94 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
95 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*95 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
96 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x96 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
97 ····*·_\x8n_\x8e_\x8x_\x8t·|97 ····*·_\x8n_\x8e_\x8x_\x8t·|
98 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|98 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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./usr/share/doc/python3-lmfit/html/examples/example_reduce_fcn.html
    
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237 <span·class="n">plt</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">yn</span><span·class="p">,</span>·<span·class="s1">&#39;--*&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;with·noise+outliers&#39;</span><span·class="p">)</span>237 <span·class="n">plt</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">yn</span><span·class="p">,</span>·<span·class="s1">&#39;--*&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;with·noise+outliers&#39;</span><span·class="p">)</span>
238 <span·class="n">plt</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">yn</span><span·class="o">+</span><span·class="n">o1</span><span·class="o">.</span><span·class="n">residual</span><span·class="p">,</span>·<span·class="s1">&#39;-&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;sum·of·squares·fit&#39;</span><span·class="p">)</span>238 <span·class="n">plt</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">yn</span><span·class="o">+</span><span·class="n">o1</span><span·class="o">.</span><span·class="n">residual</span><span·class="p">,</span>·<span·class="s1">&#39;-&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;sum·of·squares·fit&#39;</span><span·class="p">)</span>
239 <span·class="n">plt</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">yn</span><span·class="o">+</span><span·class="n">o2</span><span·class="o">.</span><span·class="n">residual</span><span·class="p">,</span>·<span·class="s1">&#39;-&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;robust·fit&#39;</span><span·class="p">)</span>239 <span·class="n">plt</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">yn</span><span·class="o">+</span><span·class="n">o2</span><span·class="o">.</span><span·class="n">residual</span><span·class="p">,</span>·<span·class="s1">&#39;-&#39;</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;robust·fit&#39;</span><span·class="p">)</span>
240 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>240 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>
241 <span·class="n">plt</span><span·class="o">.</span><span·class="n">show</span><span·class="p">()</span>241 <span·class="n">plt</span><span·class="o">.</span><span·class="n">show</span><span·class="p">()</span>
242 </pre></div>242 </pre></div>
243 </div>243 </div>
244 <img·src="../_images/sphx_glr_example_reduce_fcn_001.png"·srcset="../_images/sphx_glr_example_reduce_fcn_001.png,·../_images/sphx_glr_example_reduce_fcn_001_3_00x.png·3.00x"·alt="example·reduce·fcn"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.317·seconds)</p>244 <img·src="../_images/sphx_glr_example_reduce_fcn_001.png"·srcset="../_images/sphx_glr_example_reduce_fcn_001.png,·../_images/sphx_glr_example_reduce_fcn_001_3_00x.png·3.00x"·alt="example·reduce·fcn"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.383·seconds)</p>
245 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-reduce-fcn-py">245 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-reduce-fcn-py">
246 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">246 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
247 <p><a·class="reference·download·internal"·download=""·href="../_downloads/5d125e1fb5f23aa5a5473c67a4699244/example_reduce_fcn.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_reduce_fcn.ipynb</span></code></a></p>247 <p><a·class="reference·download·internal"·download=""·href="../_downloads/5d125e1fb5f23aa5a5473c67a4699244/example_reduce_fcn.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_reduce_fcn.ipynb</span></code></a></p>
248 </div>248 </div>
249 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">249 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
250 <p><a·class="reference·download·internal"·download=""·href="../_downloads/d0e8e1e708ca0de18639372a3ff96a6a/example_reduce_fcn.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_reduce_fcn.py</span></code></a></p>250 <p><a·class="reference·download·internal"·download=""·href="../_downloads/d0e8e1e708ca0de18639372a3ff96a6a/example_reduce_fcn.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_reduce_fcn.py</span></code></a></p>
251 </div>251 </div>
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118 plt.plot(x,·y,·'o',·label='true·function')118 plt.plot(x,·y,·'o',·label='true·function')
119 plt.plot(x,·yn,·'--*',·label='with·noise+outliers')119 plt.plot(x,·yn,·'--*',·label='with·noise+outliers')
120 plt.plot(x,·yn+o1.residual,·'-',·label='sum·of·squares·fit')120 plt.plot(x,·yn+o1.residual,·'-',·label='sum·of·squares·fit')
121 plt.plot(x,·yn+o2.residual,·'-',·label='robust·fit')121 plt.plot(x,·yn+o2.residual,·'-',·label='robust·fit')
122 plt.legend()122 plt.legend()
123 plt.show()123 plt.show()
124 [example·reduce·fcn]124 [example·reduce·fcn]
125 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.317·seconds)125 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.383·seconds)
126 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8r_\x8e_\x8d_\x8u_\x8c_\x8e_\x8__\x8f_\x8c_\x8n_\x8._\x8i_\x8p_\x8y_\x8n_\x8b126 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8r_\x8e_\x8d_\x8u_\x8c_\x8e_\x8__\x8f_\x8c_\x8n_\x8._\x8i_\x8p_\x8y_\x8n_\x8b
127 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8r_\x8e_\x8d_\x8u_\x8c_\x8e_\x8__\x8f_\x8c_\x8n_\x8._\x8p_\x8y127 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8r_\x8e_\x8d_\x8u_\x8c_\x8e_\x8__\x8f_\x8c_\x8n_\x8._\x8p_\x8y
128 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y128 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
129 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*129 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
130 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x130 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
131 ····*·_\x8n_\x8e_\x8x_\x8t·|131 ····*·_\x8n_\x8e_\x8x_\x8t·|
132 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|132 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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./usr/share/doc/python3-lmfit/html/examples/example_sympy.html
    
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199 <span·class="n">param2_values</span>·<span·class="o">=</span>·<span·class="nb">dict</span><span·class="p">(</span><span·class="n">x</span><span·class="o">=</span><span·class="n">x</span><span·class="p">,</span>·<span·class="n">A1</span><span·class="o">=</span><span·class="mi">2</span><span·class="p">,</span>·<span·class="n">sigma1</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">,</span>·<span·class="n">xc1</span><span·class="o">=</span><span·class="mi">2</span><span·class="p">,</span>·<span·class="n">xc2</span><span·class="o">=</span><span·class="mi">5</span><span·class="p">,</span>·<span·class="n">xw</span><span·class="o">=</span><span·class="mi">4</span><span·class="p">,</span>·<span·class="n">B</span><span·class="o">=</span><span·class="mi">5</span><span·class="p">)</span>199 <span·class="n">param2_values</span>·<span·class="o">=</span>·<span·class="nb">dict</span><span·class="p">(</span><span·class="n">x</span><span·class="o">=</span><span·class="n">x</span><span·class="p">,</span>·<span·class="n">A1</span><span·class="o">=</span><span·class="mi">2</span><span·class="p">,</span>·<span·class="n">sigma1</span><span·class="o">=</span><span·class="mi">1</span><span·class="p">,</span>·<span·class="n">xc1</span><span·class="o">=</span><span·class="mi">2</span><span·class="p">,</span>·<span·class="n">xc2</span><span·class="o">=</span><span·class="mi">5</span><span·class="p">,</span>·<span·class="n">xw</span><span·class="o">=</span><span·class="mi">4</span><span·class="p">,</span>·<span·class="n">B</span><span·class="o">=</span><span·class="mi">5</span><span·class="p">)</span>
200 <span·class="n">res2</span>·<span·class="o">=</span>·<span·class="n">lm_mod</span><span·class="o">.</span><span·class="n">fit</span><span·class="p">(</span><span·class="n">data</span><span·class="o">=</span><span·class="n">yn</span><span·class="p">,</span>·<span·class="o">**</span><span·class="n">param2_values</span><span·class="p">)</span>200 <span·class="n">res2</span>·<span·class="o">=</span>·<span·class="n">lm_mod</span><span·class="o">.</span><span·class="n">fit</span><span·class="p">(</span><span·class="n">data</span><span·class="o">=</span><span·class="n">yn</span><span·class="p">,</span>·<span·class="o">**</span><span·class="n">param2_values</span><span·class="p">)</span>
201 <span·class="n">res2</span><span·class="o">.</span><span·class="n">plot_fit</span><span·class="p">()</span>201 <span·class="n">res2</span><span·class="o">.</span><span·class="n">plot_fit</span><span·class="p">()</span>
202 <span·class="n">plt</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">y</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;true&#39;</span><span·class="p">)</span>202 <span·class="n">plt</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">y</span><span·class="p">,</span>·<span·class="n">label</span><span·class="o">=</span><span·class="s1">&#39;true&#39;</span><span·class="p">)</span>
203 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>203 <span·class="n">plt</span><span·class="o">.</span><span·class="n">legend</span><span·class="p">()</span>
204 </pre></div>204 </pre></div>
205 </div>205 </div>
206 <img·src="../_images/sphx_glr_example_sympy_003.png"·srcset="../_images/sphx_glr_example_sympy_003.png,·../_images/sphx_glr_example_sympy_003_3_00x.png·3.00x"·alt="Model(_lambdifygenerated)"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·1.195·seconds)</p>206 <img·src="../_images/sphx_glr_example_sympy_003.png"·srcset="../_images/sphx_glr_example_sympy_003.png,·../_images/sphx_glr_example_sympy_003_3_00x.png·3.00x"·alt="Model(_lambdifygenerated)"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·1.301·seconds)</p>
207 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-sympy-py">207 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-sympy-py">
208 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">208 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
209 <p><a·class="reference·download·internal"·download=""·href="../_downloads/6069607ae016c4f4f055d1c8dfd4bfa7/example_sympy.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_sympy.ipynb</span></code></a></p>209 <p><a·class="reference·download·internal"·download=""·href="../_downloads/6069607ae016c4f4f055d1c8dfd4bfa7/example_sympy.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_sympy.ipynb</span></code></a></p>
210 </div>210 </div>
211 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">211 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
212 <p><a·class="reference·download·internal"·download=""·href="../_downloads/ecc08a53d28f5c81caa3656731ba5657/example_sympy.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_sympy.py</span></code></a></p>212 <p><a·class="reference·download·internal"·download=""·href="../_downloads/ecc08a53d28f5c81caa3656731ba5657/example_sympy.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_sympy.py</span></code></a></p>
213 </div>213 </div>
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82 lm_mod·=·lmfit.Model(model2_func,·independent_vars=('x'))82 lm_mod·=·lmfit.Model(model2_func,·independent_vars=('x'))
83 param2_values·=·dict(x=x,·A1=2,·sigma1=1,·xc1=2,·xc2=5,·xw=4,·B=5)83 param2_values·=·dict(x=x,·A1=2,·sigma1=1,·xc1=2,·xc2=5,·xw=4,·B=5)
84 res2·=·lm_mod.fit(data=yn,·**param2_values)84 res2·=·lm_mod.fit(data=yn,·**param2_values)
85 res2.plot_fit()85 res2.plot_fit()
86 plt.plot(x,·y,·label='true')86 plt.plot(x,·y,·label='true')
87 plt.legend()87 plt.legend()
88 [Model(_lambdifygenerated)]88 [Model(_lambdifygenerated)]
89 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·1.195·seconds)89 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·1.301·seconds)
90 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8s_\x8y_\x8m_\x8p_\x8y_\x8._\x8i_\x8p_\x8y_\x8n_\x8b90 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8s_\x8y_\x8m_\x8p_\x8y_\x8._\x8i_\x8p_\x8y_\x8n_\x8b
91 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8s_\x8y_\x8m_\x8p_\x8y_\x8._\x8p_\x8y91 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8s_\x8y_\x8m_\x8p_\x8y_\x8._\x8p_\x8y
92 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y92 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
93 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*93 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
94 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x94 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
95 ····*·_\x8n_\x8e_\x8x_\x8t·|95 ····*·_\x8n_\x8e_\x8x_\x8t·|
96 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|96 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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./usr/share/doc/python3-lmfit/html/examples/example_two_dimensional_peak.html
    
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350 <span·class="k">for</span>·<span·class="n">ax</span>·<span·class="ow">in</span>·<span·class="n">axs</span><span·class="o">.</span><span·class="n">ravel</span><span·class="p">():</span>350 <span·class="k">for</span>·<span·class="n">ax</span>·<span·class="ow">in</span>·<span·class="n">axs</span><span·class="o">.</span><span·class="n">ravel</span><span·class="p">():</span>
351 ····<span·class="n">ax</span><span·class="o">.</span><span·class="n">set_xlabel</span><span·class="p">(</span><span·class="s1">&#39;x&#39;</span><span·class="p">)</span>351 ····<span·class="n">ax</span><span·class="o">.</span><span·class="n">set_xlabel</span><span·class="p">(</span><span·class="s1">&#39;x&#39;</span><span·class="p">)</span>
352 ····<span·class="n">ax</span><span·class="o">.</span><span·class="n">set_ylabel</span><span·class="p">(</span><span·class="s1">&#39;y&#39;</span><span·class="p">)</span>352 ····<span·class="n">ax</span><span·class="o">.</span><span·class="n">set_ylabel</span><span·class="p">(</span><span·class="s1">&#39;y&#39;</span><span·class="p">)</span>
353 <span·class="n">axs</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="o">.</span><span·class="n">remove</span><span·class="p">()</span>353 <span·class="n">axs</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="o">.</span><span·class="n">remove</span><span·class="p">()</span>
354 <span·class="n">plt</span><span·class="o">.</span><span·class="n">show</span><span·class="p">()</span>354 <span·class="n">plt</span><span·class="o">.</span><span·class="n">show</span><span·class="p">()</span>
355 </pre></div>355 </pre></div>
356 </div>356 </div>
357 <img·src="../_images/sphx_glr_example_two_dimensional_peak_004.png"·srcset="../_images/sphx_glr_example_two_dimensional_peak_004.png,·../_images/sphx_glr_example_two_dimensional_peak_004_3_00x.png·3.00x"·alt="Data,·Fit,·Data·-·Fit"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·3.456·seconds)</p>357 <img·src="../_images/sphx_glr_example_two_dimensional_peak_004.png"·srcset="../_images/sphx_glr_example_two_dimensional_peak_004.png,·../_images/sphx_glr_example_two_dimensional_peak_004_3_00x.png·3.00x"·alt="Data,·Fit,·Data·-·Fit"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·4.081·seconds)</p>
358 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-two-dimensional-peak-py">358 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-two-dimensional-peak-py">
359 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">359 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
360 <p><a·class="reference·download·internal"·download=""·href="../_downloads/ee6bdfefbd3fee18a7b2cb99c291f27e/example_two_dimensional_peak.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_two_dimensional_peak.ipynb</span></code></a></p>360 <p><a·class="reference·download·internal"·download=""·href="../_downloads/ee6bdfefbd3fee18a7b2cb99c291f27e/example_two_dimensional_peak.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_two_dimensional_peak.ipynb</span></code></a></p>
361 </div>361 </div>
362 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">362 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
363 <p><a·class="reference·download·internal"·download=""·href="../_downloads/87be2ee5d3294a608face2290f955fe3/example_two_dimensional_peak.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_two_dimensional_peak.py</span></code></a></p>363 <p><a·class="reference·download·internal"·download=""·href="../_downloads/87be2ee5d3294a608face2290f955fe3/example_two_dimensional_peak.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_two_dimensional_peak.py</span></code></a></p>
364 </div>364 </div>
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219 for·ax·in·axs.ravel():219 for·ax·in·axs.ravel():
220 ····ax.set_xlabel('x')220 ····ax.set_xlabel('x')
221 ····ax.set_ylabel('y')221 ····ax.set_ylabel('y')
222 axs[1,·1].remove()222 axs[1,·1].remove()
223 plt.show()223 plt.show()
224 [Data,·Fit,·Data·-·Fit]224 [Data,·Fit,·Data·-·Fit]
225 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·3.456·seconds)225 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·4.081·seconds)
226 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8t_\x8w_\x8o_\x8__\x8d_\x8i_\x8m_\x8e_\x8n_\x8s_\x8i_\x8o_\x8n_\x8a_\x8l_\x8__\x8p_\x8e_\x8a_\x8k_\x8._\x8i_\x8p_\x8y_\x8n_\x8b226 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8t_\x8w_\x8o_\x8__\x8d_\x8i_\x8m_\x8e_\x8n_\x8s_\x8i_\x8o_\x8n_\x8a_\x8l_\x8__\x8p_\x8e_\x8a_\x8k_\x8._\x8i_\x8p_\x8y_\x8n_\x8b
227 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8t_\x8w_\x8o_\x8__\x8d_\x8i_\x8m_\x8e_\x8n_\x8s_\x8i_\x8o_\x8n_\x8a_\x8l_\x8__\x8p_\x8e_\x8a_\x8k_\x8._\x8p_\x8y227 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8t_\x8w_\x8o_\x8__\x8d_\x8i_\x8m_\x8e_\x8n_\x8s_\x8i_\x8o_\x8n_\x8a_\x8l_\x8__\x8p_\x8e_\x8a_\x8k_\x8._\x8p_\x8y
228 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y228 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
229 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*229 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
230 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x230 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
231 ····*·_\x8n_\x8e_\x8x_\x8t·|231 ····*·_\x8n_\x8e_\x8x_\x8t·|
232 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|232 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
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./usr/share/doc/python3-lmfit/html/examples/example_use_pandas.html
    
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175 ····C(amplitude,·sigma)·=·+0.7087175 ····C(amplitude,·sigma)·=·+0.7087
176 </pre></div>176 </pre></div>
177 </div>177 </div>
178 <p>and·plot·below:</p>178 <p>and·plot·below:</p>
179 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">result</span><span·class="o">.</span><span·class="n">plot_fit</span><span·class="p">()</span>179 <div·class="highlight-Python·notranslate"><div·class="highlight"><pre><span></span><span·class="n">result</span><span·class="o">.</span><span·class="n">plot_fit</span><span·class="p">()</span>
180 </pre></div>180 </pre></div>
181 </div>181 </div>
182 <img·src="../_images/sphx_glr_example_use_pandas_001.png"·srcset="../_images/sphx_glr_example_use_pandas_001.png,·../_images/sphx_glr_example_use_pandas_001_3_00x.png·3.00x"·alt="Model(lorentzian)"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.284·seconds)</p>182 <img·src="../_images/sphx_glr_example_use_pandas_001.png"·srcset="../_images/sphx_glr_example_use_pandas_001.png,·../_images/sphx_glr_example_use_pandas_001_3_00x.png·3.00x"·alt="Model(lorentzian)"·class·=·"sphx-glr-single-img"/><p·class="sphx-glr-timing"><strong>Total·running·time·of·the·script:</strong>·(0·minutes·0.552·seconds)</p>
183 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-use-pandas-py">183 <div·class="sphx-glr-footer·sphx-glr-footer-example·docutils·container"·id="sphx-glr-download-examples-example-use-pandas-py">
184 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">184 <div·class="sphx-glr-download·sphx-glr-download-jupyter·docutils·container">
185 <p><a·class="reference·download·internal"·download=""·href="../_downloads/5adbaff47e6aef0917d3da79f59fba26/example_use_pandas.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_use_pandas.ipynb</span></code></a></p>185 <p><a·class="reference·download·internal"·download=""·href="../_downloads/5adbaff47e6aef0917d3da79f59fba26/example_use_pandas.ipynb"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Jupyter</span>·<span·class="pre">notebook:</span>·<span·class="pre">example_use_pandas.ipynb</span></code></a></p>
186 </div>186 </div>
187 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">187 <div·class="sphx-glr-download·sphx-glr-download-python·docutils·container">
188 <p><a·class="reference·download·internal"·download=""·href="../_downloads/67e6ee8d13b1ad43c31b4b2dc6d01d54/example_use_pandas.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_use_pandas.py</span></code></a></p>188 <p><a·class="reference·download·internal"·download=""·href="../_downloads/67e6ee8d13b1ad43c31b4b2dc6d01d54/example_use_pandas.py"><code·class="xref·download·docutils·literal·notranslate"><span·class="pre">Download</span>·<span·class="pre">Python</span>·<span·class="pre">source</span>·<span·class="pre">code:</span>·<span·class="pre">example_use_pandas.py</span></code></a></p>
189 </div>189 </div>
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61 ····height:·····10.7899573·+/-·0.17160652·(1.59%)·==·'0.3183099*amplitude/max61 ····height:·····10.7899573·+/-·0.17160652·(1.59%)·==·'0.3183099*amplitude/max
62 (1e-15,·sigma)'62 (1e-15,·sigma)'
63 [[Correlations]]·(unreported·correlations·are·<·0.100)63 [[Correlations]]·(unreported·correlations·are·<·0.100)
64 ····C(amplitude,·sigma)·=·+0.708764 ····C(amplitude,·sigma)·=·+0.7087
65 and·plot·below:65 and·plot·below:
66 result.plot_fit()66 result.plot_fit()
67 [Model(lorentzian)]67 [Model(lorentzian)]
68 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.284·seconds)68 T\x8To\x8ot\x8ta\x8al\x8l·r\x8ru\x8un\x8nn\x8ni\x8in\x8ng\x8g·t\x8ti\x8im\x8me\x8e·o\x8of\x8f·t\x8th\x8he\x8e·s\x8sc\x8cr\x8ri\x8ip\x8pt\x8t:\x8:·(0·minutes·0.552·seconds)
69 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8u_\x8s_\x8e_\x8__\x8p_\x8a_\x8n_\x8d_\x8a_\x8s_\x8._\x8i_\x8p_\x8y_\x8n_\x8b69 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8J_\x8u_\x8p_\x8y_\x8t_\x8e_\x8r_\x8·_\x8n_\x8o_\x8t_\x8e_\x8b_\x8o_\x8o_\x8k_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8u_\x8s_\x8e_\x8__\x8p_\x8a_\x8n_\x8d_\x8a_\x8s_\x8._\x8i_\x8p_\x8y_\x8n_\x8b
70 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8u_\x8s_\x8e_\x8__\x8p_\x8a_\x8n_\x8d_\x8a_\x8s_\x8._\x8p_\x8y70 _\x8D_\x8o_\x8w_\x8n_\x8l_\x8o_\x8a_\x8d_\x8·_\x8P_\x8y_\x8t_\x8h_\x8o_\x8n_\x8·_\x8s_\x8o_\x8u_\x8r_\x8c_\x8e_\x8·_\x8c_\x8o_\x8d_\x8e_\x8:_\x8·_\x8e_\x8x_\x8a_\x8m_\x8p_\x8l_\x8e_\x8__\x8u_\x8s_\x8e_\x8__\x8p_\x8a_\x8n_\x8d_\x8a_\x8s_\x8._\x8p_\x8y
71 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y71 _\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y_\x8·_\x8g_\x8e_\x8n_\x8e_\x8r_\x8a_\x8t_\x8e_\x8d_\x8·_\x8b_\x8y_\x8·_\x8S_\x8p_\x8h_\x8i_\x8n_\x8x_\x8-_\x8G_\x8a_\x8l_\x8l_\x8e_\x8r_\x8y
72 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*72 *\x8**\x8**\x8**\x8*·N\x8Na\x8av\x8vi\x8ig\x8ga\x8at\x8ti\x8io\x8on\x8n·*\x8**\x8**\x8**\x8*
73 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x73 ····*·_\x8i_\x8n_\x8d_\x8e_\x8x
74 ····*·_\x8n_\x8e_\x8x_\x8t·|74 ····*·_\x8n_\x8e_\x8x_\x8t·|
75 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|75 ····*·_\x8p_\x8r_\x8e_\x8v_\x8i_\x8o_\x8u_\x8s·|
7.29 KB
./usr/share/doc/python3-lmfit/html/searchindex.js
7.2 KB
js-beautify {}
    
Offset 1319, 15 lines modifiedOffset 1319, 15 lines modified
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1321 ········"01680902":·19,1321 ········"01680902":·19,
1322 ········"01835867":·20,1322 ········"01835867":·20,
1323 ········"01907800":·19,1323 ········"01907800":·19,
1324 ········"01951689":·11,1324 ········"01951689":·11,
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1326 ········"020":·[8,·30],1326 ········"020":·[7,·8,·30],
1327 ········"02005946":·17,1327 ········"02005946":·17,
1328 ········"02079709":·10,1328 ········"02079709":·10,
1329 ········"021":·13,1329 ········"021":·13,
1330 ········"02190772":·19,1330 ········"02190772":·19,
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1332 ········"02279089":·12,1332 ········"02279089":·12,
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Offset 1381, 14 lines modifiedOffset 1381, 15 lines modified
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1387 ········"07386098":·12,1387 ········"07386098":·12,
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1389 ········"08533642":·7,1390 ········"08533642":·7,
1390 ········"0870":·14,1391 ········"0870":·14,
1391 ········"08937623":·9,1392 ········"08937623":·9,
1392 ········"08992736":·13,1393 ········"08992736":·13,
1393 ········"0913":·5,1394 ········"0913":·5,
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Offset 1503, 15 lines modifiedOffset 1504, 14 lines modified
1503 ········"1875":·6,1504 ········"1875":·6,
1504 ········"18756":·14,1505 ········"18756":·14,
1505 ········"1877635":·13,1506 ········"1877635":·13,
1506 ········"19":·[1,·12,·13,·14,·27],1507 ········"19":·[1,·12,·13,·14,·27],
1507 ········"192":·[6,·20],1508 ········"192":·[6,·20],
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1509 ········"19401928":·10,1510 ········"19401928":·10,
1510 ········"195":·18, 
1511 ········"19580":·11,1511 ········"19580":·11,
1512 ········"1967107":·13,1512 ········"1967107":·13,
1513 ········"199":·6,1513 ········"199":·6,
1514 ········"1d":·[2,·12,·32],1514 ········"1d":·[2,·12,·32],
1515 ········"1e":·[13,·19,·20,·25],1515 ········"1e":·[13,·19,·20,·25],
1516 ········"1j":·7,1516 ········"1j":·7,
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Offset 1563, 102 lines modifiedOffset 1563, 101 lines modified
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1568 ········"247":·7,1568 ········"247":·7,
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 1570 ········"249":·8,
1570 ········"24998843":·6,1571 ········"24998843":·6,
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1573 ········"25":·[1,·6,·8,·12,·19,·20,·29],1574 ········"25":·[1,·6,·8,·12,·19,·20,·29],
1574 ········"250":·[8,·14,·17,·22,·23],1575 ········"250":·[8,·14,·17,·22,·23],
1575 ········"2500":·8,1576 ········"2500":·8,
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1577 ········"254":·11, 
1578 ········"2575":·12,1577 ········"2575":·12,
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1580 ········"26":·[6,·12,·13,·14,·19],1579 ········"26":·[6,·12,·13,·14,·19],
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1586 ········"268":·9,1585 ········"268":·9,
1587 ········"27":·[4,·8,·16,·19,·26],1586 ········"27":·[4,·8,·16,·19,·26],
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1589 ········"2761":·16,1588 ········"2761":·16,
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1593 ········"280":·14, 
1594 ········"28002384":·5,1592 ········"28002384":·5,
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1596 ········"284":·20, 
1597 ········"28588":·11,1594 ········"28588":·11,
1598 ········"2887":·13,1595 ········"2887":·13,
1599 ········"28904676":·19,1596 ········"28904676":·19,
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 1600 ········"292":·15,
1603 ········"294636":·7,1601 ········"294636":·7,
1604 ········"295":·1,1602 ········"295":·1,
1605 ········"2951":·16,1603 ········"2951":·16,
1606 ········"2968":·12,1604 ········"2968":·12,
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1609 ········"2_f":·2,1607 ········"2_f":·2,
1610 ········"2j":·7,1608 ········"2j":·7,
1611 ········"2jq":·7,1609 ········"2jq":·7,
1612 ········"3":·[2,·3,·4,·5,·6,·7,·8,·9,·10,·11,·12,·13,·15,·16,·17,·18,·19,·20,·22,·23,·25,·26,·27,·29,·30],1610 ········"3":·[2,·3,·4,·5,·6,·7,·8,·9,·10,·11,·12,·13,·15,·16,·17,·18,·19,·20,·22,·23,·25,·26,·27,·29,·30],
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1616 ········"3037":·14,1614 ········"3037":·14,
1617 ········"3046":·19,1615 ········"3046":·19,
1618 ········"3055":·13,1616 ········"3055":·13,
1619 ········"3058":·14,1617 ········"3058":·14,
1620 ········"30899694":·6,1618 ········"30899694":·6,
1621 ········"309":·[12,·13], 
1622 ········"310":·22,1619 ········"310":·22,
1623 ········"31007537":·20,1620 ········"31007537":·20,
1624 ········"3117":·7,1621 ········"3117":·7,
1625 ········"31249964":·6,1622 ········"31249964":·6,
1626 ········"3146":·7,1623 ········"3146":·7,
1627 ········"317":·17, 
1628 ········"3183099":·[13,·20],1624 ········"3183099":·[13,·20],
1629 ········"32":·[12,·17],1625 ········"32":·[12,·17],
1630 ········"3200":·29,1626 ········"3200":·29,
1631 ········"32192128":·13,1627 ········"32192128":·13,
1632 ········"32742010":·12,1628 ········"32742010":·12,
1633 ········"32980958":·8,1629 ········"32980958":·8,
1634 ········"32981":·8,1630 ········"32981":·8,
1635 ········"33":·[8,·12,·17],1631 ········"33":·[8,·12,·17],
1636 ········"33162347":·17,1632 ········"33162347":·17,
1637 ········"3342":·19,1633 ········"3342":·19,
1638 ········"34443083":·12,1634 ········"34443083":·12,
1639 ········"3445":·16,1635 ········"3445":·16,
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