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Expand Up @@ -144,7 +144,7 @@ To check if the constructed PAG is a valid one in pywhy-graphs, we can simply do
.. code-block:: none
ConditioningSetSelection.PDS
Context(observed_variables={'L', 'PSH', 'I', 'G', 'S'}, latent_variables=set(), state_variables={}, init_graph=<networkx.classes.graph.Graph object at 0x7c948c635b50>, included_edges=<networkx.classes.graph.Graph object at 0x7c948c636250>, excluded_edges=<networkx.classes.graph.Graph object at 0x7c948c636690>, num_distributions=1, obs_distribution=True, intervention_targets=[], symmetric_diff_map={}, sigma_map={}, f_nodes=[], num_domains=1, domain_map={}, s_nodes=[])
Context(observed_variables={'L', 'I', 'S', 'G', 'PSH'}, latent_variables=set(), state_variables={}, init_graph=<networkx.classes.graph.Graph object at 0x70527ae4b050>, included_edges=<networkx.classes.graph.Graph object at 0x70527ae4b750>, excluded_edges=<networkx.classes.graph.Graph object at 0x70527ae4bb90>, num_distributions=1, obs_distribution=True, intervention_targets=[], symmetric_diff_map={}, sigma_map={}, f_nodes=[], num_domains=1, domain_map={}, s_nodes=[])
True
Expand Down Expand Up @@ -180,7 +180,7 @@ relationship. As such, the resulting graph is no longer a valid PAG.
.. code-block:: none
ConditioningSetSelection.PDS
Context(observed_variables={'L', 'PSH', 'I', 'G', 'S'}, latent_variables=set(), state_variables={}, init_graph=<networkx.classes.graph.Graph object at 0x7c948c649f50>, included_edges=<networkx.classes.graph.Graph object at 0x7c948c64a650>, excluded_edges=<networkx.classes.graph.Graph object at 0x7c948c64aa90>, num_distributions=1, obs_distribution=True, intervention_targets=[], symmetric_diff_map={}, sigma_map={}, f_nodes=[], num_domains=1, domain_map={}, s_nodes=[])
Context(observed_variables={'L', 'I', 'S', 'G', 'PSH'}, latent_variables=set(), state_variables={}, init_graph=<networkx.classes.graph.Graph object at 0x70527ae671d0>, included_edges=<networkx.classes.graph.Graph object at 0x70527ae678d0>, excluded_edges=<networkx.classes.graph.Graph object at 0x70527ae67d10>, num_distributions=1, obs_distribution=True, intervention_targets=[], symmetric_diff_map={}, sigma_map={}, f_nodes=[], num_domains=1, domain_map={}, s_nodes=[])
False
Expand All @@ -195,9 +195,9 @@ References

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.096 seconds)
**Total running time of the script:** (0 minutes 1.154 seconds)

**Estimated memory usage:** 166 MB
**Estimated memory usage:** 165 MB


.. _sphx_glr_download_auto_examples_intro_checking_validity_of_a_pag.py:
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2 changes: 1 addition & 1 deletion dev/_sources/auto_examples/intro/inducing_path.rst.txt
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Expand Up @@ -241,7 +241,7 @@ References

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.159 seconds)
**Total running time of the script:** (0 minutes 1.165 seconds)

**Estimated memory usage:** 164 MB

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8 changes: 4 additions & 4 deletions dev/_sources/auto_examples/intro/intro_causal_graphs.rst.txt
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Expand Up @@ -169,7 +169,7 @@ Here, we will simulate some data to understand causal graphs in the context of S

.. code-block:: none
Fitting causal models: 0%| | 0/5 [00:00<?, ?it/s] Fitting causal mechanism of node x: 0%| | 0/5 [00:00<?, ?it/s] Fitting causal mechanism of node y: 0%| | 0/5 [00:00<?, ?it/s] Fitting causal mechanism of node z: 0%| | 0/5 [00:00<?, ?it/s] Fitting causal mechanism of node w: 0%| | 0/5 [00:00<?, ?it/s] Fitting causal mechanism of node xy: 0%| | 0/5 [00:00<?, ?it/s] Fitting causal mechanism of node xy: 100%|██████████| 5/5 [00:00<00:00, 881.75it/s]
Fitting causal models: 0%| | 0/5 [00:00<?, ?it/s] Fitting causal mechanism of node x: 0%| | 0/5 [00:00<?, ?it/s] Fitting causal mechanism of node y: 0%| | 0/5 [00:00<?, ?it/s] Fitting causal mechanism of node z: 0%| | 0/5 [00:00<?, ?it/s] Fitting causal mechanism of node w: 0%| | 0/5 [00:00<?, ?it/s] Fitting causal mechanism of node xy: 0%| | 0/5 [00:00<?, ?it/s] Fitting causal mechanism of node xy: 100%|██████████| 5/5 [00:00<00:00, 820.00it/s]
z xy w x y
0 1 1 1 1 1
1 1 1 2 2 3
Expand All @@ -183,7 +183,7 @@ Here, we will simulate some data to understand causal graphs in the context of S
y [1, 3, 2, 0]
dtype: object

<graphviz.graphs.Digraph object at 0x7c93ca895490>
<graphviz.graphs.Digraph object at 0x7051b8fc7b50>



Expand Down Expand Up @@ -427,9 +427,9 @@ References

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 2.335 seconds)
**Total running time of the script:** (0 minutes 2.397 seconds)

**Estimated memory usage:** 248 MB
**Estimated memory usage:** 249 MB


.. _sphx_glr_download_auto_examples_intro_intro_causal_graphs.py:
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14 changes: 7 additions & 7 deletions dev/_sources/auto_examples/intro/sg_execution_times.rst.txt
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Expand Up @@ -6,7 +6,7 @@

Computation times
=================
**00:04.590** total execution time for 3 files **from auto_examples/intro**:
**00:04.716** total execution time for 3 files **from auto_examples/intro**:

.. container::

Expand All @@ -33,11 +33,11 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_auto_examples_intro_intro_causal_graphs.py` (``intro_causal_graphs.py``)
- 00:02.335
- 248.3
- 00:02.397
- 249.4
* - :ref:`sphx_glr_auto_examples_intro_inducing_path.py` (``inducing_path.py``)
- 00:01.159
- 164.0
- 00:01.165
- 163.7
* - :ref:`sphx_glr_auto_examples_intro_checking_validity_of_a_pag.py` (``checking_validity_of_a_pag.py``)
- 00:01.096
- 165.7
- 00:01.154
- 165.4
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Expand Up @@ -154,7 +154,7 @@ Mixed Edge Graph Properties
MixedEdgeGraph named 'IV Graph' with 3 nodes and 3 edges and 2 edge types is directed: False because there are directed edges.
False
['directed', 'bidirected']
{'directed': <networkx.classes.digraph.DiGraph object at 0x7c948b6c43d0>, 'bidirected': <networkx.classes.graph.Graph object at 0x7c93caa5df10>}
{'directed': <networkx.classes.digraph.DiGraph object at 0x70527bf1f010>, 'bidirected': <networkx.classes.graph.Graph object at 0x7051b8fdaf90>}
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Expand Up @@ -34,4 +34,4 @@ Computation times
- Mem (MB)
* - :ref:`sphx_glr_auto_examples_mixededge_plot_mixed_edge_graph.py` (``plot_mixed_edge_graph.py``)
- 00:01.385
- 170.2
- 169.9
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Expand Up @@ -139,7 +139,7 @@ such as `Dagitty <http://dagitty.net>`_.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 0.438 seconds)
**Total running time of the script:** (0 minutes 0.436 seconds)

**Estimated memory usage:** 164 MB

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Expand Up @@ -136,7 +136,7 @@ which creates a nice default layout for time-series graphs.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 1.067 seconds)
**Total running time of the script:** (0 minutes 1.116 seconds)

**Estimated memory usage:** 164 MB

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Expand Up @@ -6,7 +6,7 @@

Computation times
=================
**00:01.504** total execution time for 2 files **from auto_examples/visualization**:
**00:01.552** total execution time for 2 files **from auto_examples/visualization**:

.. container::

Expand All @@ -33,8 +33,8 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_auto_examples_visualization_plot_timeseries_graphs.py` (``plot_timeseries_graphs.py``)
- 00:01.067
- 164.0
- 00:01.116
- 163.7
* - :ref:`sphx_glr_auto_examples_visualization_draw_and_compare_graphs_with_same_layout.py` (``draw_and_compare_graphs_with_same_layout.py``)
- 00:00.438
- 164.0
- 00:00.436
- 163.7
24 changes: 12 additions & 12 deletions dev/_sources/sg_execution_times.rst.txt
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Expand Up @@ -6,7 +6,7 @@

Computation times
=================
**00:07.479** total execution time for 6 files **from all galleries**:
**00:07.653** total execution time for 6 files **from all galleries**:

.. container::

Expand All @@ -33,20 +33,20 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_auto_examples_intro_intro_causal_graphs.py` (``../examples/intro/intro_causal_graphs.py``)
- 00:02.335
- 248.3
- 00:02.397
- 249.4
* - :ref:`sphx_glr_auto_examples_mixededge_plot_mixed_edge_graph.py` (``../examples/mixededge/plot_mixed_edge_graph.py``)
- 00:01.385
- 170.2
- 169.9
* - :ref:`sphx_glr_auto_examples_intro_inducing_path.py` (``../examples/intro/inducing_path.py``)
- 00:01.159
- 164.0
- 00:01.165
- 163.7
* - :ref:`sphx_glr_auto_examples_intro_checking_validity_of_a_pag.py` (``../examples/intro/checking_validity_of_a_pag.py``)
- 00:01.096
- 165.7
- 00:01.154
- 165.4
* - :ref:`sphx_glr_auto_examples_visualization_plot_timeseries_graphs.py` (``../examples/visualization/plot_timeseries_graphs.py``)
- 00:01.067
- 164.0
- 00:01.116
- 163.7
* - :ref:`sphx_glr_auto_examples_visualization_draw_and_compare_graphs_with_same_layout.py` (``../examples/visualization/draw_and_compare_graphs_with_same_layout.py``)
- 00:00.438
- 164.0
- 00:00.436
- 163.7
8 changes: 4 additions & 4 deletions dev/auto_examples/intro/checking_validity_of_a_pag.html
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Expand Up @@ -533,7 +533,7 @@ <h2>Validity of a PAG<a class="headerlink" href="#validity-of-a-pag" title="Link
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>ConditioningSetSelection.PDS
Context(observed_variables={&#39;L&#39;, &#39;PSH&#39;, &#39;I&#39;, &#39;G&#39;, &#39;S&#39;}, latent_variables=set(), state_variables={}, init_graph=&lt;networkx.classes.graph.Graph object at 0x7c948c635b50&gt;, included_edges=&lt;networkx.classes.graph.Graph object at 0x7c948c636250&gt;, excluded_edges=&lt;networkx.classes.graph.Graph object at 0x7c948c636690&gt;, num_distributions=1, obs_distribution=True, intervention_targets=[], symmetric_diff_map={}, sigma_map={}, f_nodes=[], num_domains=1, domain_map={}, s_nodes=[])
Context(observed_variables={&#39;L&#39;, &#39;I&#39;, &#39;S&#39;, &#39;G&#39;, &#39;PSH&#39;}, latent_variables=set(), state_variables={}, init_graph=&lt;networkx.classes.graph.Graph object at 0x70527ae4b050&gt;, included_edges=&lt;networkx.classes.graph.Graph object at 0x70527ae4b750&gt;, excluded_edges=&lt;networkx.classes.graph.Graph object at 0x70527ae4bb90&gt;, num_distributions=1, obs_distribution=True, intervention_targets=[], symmetric_diff_map={}, sigma_map={}, f_nodes=[], num_domains=1, domain_map={}, s_nodes=[])
True
</pre></div>
</div>
Expand All @@ -552,7 +552,7 @@ <h2>Validity of a PAG<a class="headerlink" href="#validity-of-a-pag" title="Link
</pre></div>
</div>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>ConditioningSetSelection.PDS
Context(observed_variables={&#39;L&#39;, &#39;PSH&#39;, &#39;I&#39;, &#39;G&#39;, &#39;S&#39;}, latent_variables=set(), state_variables={}, init_graph=&lt;networkx.classes.graph.Graph object at 0x7c948c649f50&gt;, included_edges=&lt;networkx.classes.graph.Graph object at 0x7c948c64a650&gt;, excluded_edges=&lt;networkx.classes.graph.Graph object at 0x7c948c64aa90&gt;, num_distributions=1, obs_distribution=True, intervention_targets=[], symmetric_diff_map={}, sigma_map={}, f_nodes=[], num_domains=1, domain_map={}, s_nodes=[])
Context(observed_variables={&#39;L&#39;, &#39;I&#39;, &#39;S&#39;, &#39;G&#39;, &#39;PSH&#39;}, latent_variables=set(), state_variables={}, init_graph=&lt;networkx.classes.graph.Graph object at 0x70527ae671d0&gt;, included_edges=&lt;networkx.classes.graph.Graph object at 0x70527ae678d0&gt;, excluded_edges=&lt;networkx.classes.graph.Graph object at 0x70527ae67d10&gt;, num_distributions=1, obs_distribution=True, intervention_targets=[], symmetric_diff_map={}, sigma_map={}, f_nodes=[], num_domains=1, domain_map={}, s_nodes=[])
False
</pre></div>
</div>
Expand All @@ -568,8 +568,8 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
</aside>
</aside>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.096 seconds)</p>
<p><strong>Estimated memory usage:</strong> 166 MB</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.154 seconds)</p>
<p><strong>Estimated memory usage:</strong> 165 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-intro-checking-validity-of-a-pag-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/5f927be0252fc0d8c3167ec4c832cbc7/checking_validity_of_a_pag.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">checking_validity_of_a_pag.ipynb</span></code></a></p>
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2 changes: 1 addition & 1 deletion dev/auto_examples/intro/inducing_path.html
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Expand Up @@ -604,7 +604,7 @@ <h2>References<a class="headerlink" href="#references" title="Link to this headi
</aside>
</aside>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.159 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.165 seconds)</p>
<p><strong>Estimated memory usage:</strong> 164 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-intro-inducing-path-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
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8 changes: 4 additions & 4 deletions dev/auto_examples/intro/intro_causal_graphs.html
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Expand Up @@ -585,7 +585,7 @@ <h2>Structural Causal Models: Simulating some data<a class="headerlink" href="#s
Fitting causal mechanism of node z: 0%| | 0/5 [00:00&lt;?, ?it/s]
Fitting causal mechanism of node w: 0%| | 0/5 [00:00&lt;?, ?it/s]
Fitting causal mechanism of node xy: 0%| | 0/5 [00:00&lt;?, ?it/s]
Fitting causal mechanism of node xy: 100%|██████████| 5/5 [00:00&lt;00:00, 881.75it/s]
Fitting causal mechanism of node xy: 100%|██████████| 5/5 [00:00&lt;00:00, 820.00it/s]
z xy w x y
0 1 1 1 1 1
1 1 1 2 2 3
Expand All @@ -599,7 +599,7 @@ <h2>Structural Causal Models: Simulating some data<a class="headerlink" href="#s
y [1, 3, 2, 0]
dtype: object

&lt;graphviz.graphs.Digraph object at 0x7c93ca895490&gt;
&lt;graphviz.graphs.Digraph object at 0x7051b8fc7b50&gt;
</pre></div>
</div>
</section>
Expand Down Expand Up @@ -768,8 +768,8 @@ <h3>References<a class="headerlink" href="#references" title="Link to this headi
</aside>
</aside>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 2.335 seconds)</p>
<p><strong>Estimated memory usage:</strong> 248 MB</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 2.397 seconds)</p>
<p><strong>Estimated memory usage:</strong> 249 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-intro-intro-causal-graphs-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
<p><a class="reference download internal" download="" href="../../_downloads/e92c7413422dfa4591a10ac31b2b0f4d/intro_causal_graphs.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">intro_causal_graphs.ipynb</span></code></a></p>
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14 changes: 7 additions & 7 deletions dev/auto_examples/intro/sg_execution_times.html
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Expand Up @@ -429,7 +429,7 @@

<section id="computation-times">
<span id="sphx-glr-auto-examples-intro-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">#</a></h1>
<p><strong>00:04.590</strong> total execution time for 3 files <strong>from auto_examples/intro</strong>:</p>
<p><strong>00:04.716</strong> total execution time for 3 files <strong>from auto_examples/intro</strong>:</p>
<div class="docutils container">
<style scoped>
<link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
Expand All @@ -451,16 +451,16 @@
</thead>
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="intro_causal_graphs.html#sphx-glr-auto-examples-intro-intro-causal-graphs-py"><span class="std std-ref">An introduction to causal graphs and how to use them</span></a> (<code class="docutils literal notranslate"><span class="pre">intro_causal_graphs.py</span></code>)</p></td>
<td><p>00:02.335</p></td>
<td><p>248.3</p></td>
<td><p>00:02.397</p></td>
<td><p>249.4</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="inducing_path.html#sphx-glr-auto-examples-intro-inducing-path-py"><span class="std std-ref">An introduction to Inducing Paths and how to find them</span></a> (<code class="docutils literal notranslate"><span class="pre">inducing_path.py</span></code>)</p></td>
<td><p>00:01.159</p></td>
<td><p>164.0</p></td>
<td><p>00:01.165</p></td>
<td><p>163.7</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="checking_validity_of_a_pag.html#sphx-glr-auto-examples-intro-checking-validity-of-a-pag-py"><span class="std std-ref">On PAGs and their validity</span></a> (<code class="docutils literal notranslate"><span class="pre">checking_validity_of_a_pag.py</span></code>)</p></td>
<td><p>00:01.096</p></td>
<td><p>165.7</p></td>
<td><p>00:01.154</p></td>
<td><p>165.4</p></td>
</tr>
</tbody>
</table>
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2 changes: 1 addition & 1 deletion dev/auto_examples/mixededge/plot_mixed_edge_graph.html
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Expand Up @@ -553,7 +553,7 @@ <h2>Mixed Edge Graph Properties<a class="headerlink" href="#mixed-edge-graph-pro
MixedEdgeGraph named &#39;IV Graph&#39; with 3 nodes and 3 edges and 2 edge types is directed: False because there are directed edges.
False
[&#39;directed&#39;, &#39;bidirected&#39;]
{&#39;directed&#39;: &lt;networkx.classes.digraph.DiGraph object at 0x7c948b6c43d0&gt;, &#39;bidirected&#39;: &lt;networkx.classes.graph.Graph object at 0x7c93caa5df10&gt;}
{&#39;directed&#39;: &lt;networkx.classes.digraph.DiGraph object at 0x70527bf1f010&gt;, &#39;bidirected&#39;: &lt;networkx.classes.graph.Graph object at 0x7051b8fdaf90&gt;}
</pre></div>
</div>
</section>
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2 changes: 1 addition & 1 deletion dev/auto_examples/mixededge/sg_execution_times.html
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Expand Up @@ -452,7 +452,7 @@
<tbody>
<tr class="row-even"><td><p><a class="reference internal" href="plot_mixed_edge_graph.html#sphx-glr-auto-examples-mixededge-plot-mixed-edge-graph-py"><span class="std std-ref">MixedEdgeGraph - Graph with different types of edges</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_mixed_edge_graph.py</span></code>)</p></td>
<td><p>00:01.385</p></td>
<td><p>170.2</p></td>
<td><p>169.9</p></td>
</tr>
</tbody>
</table>
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Expand Up @@ -536,7 +536,7 @@
<span class="c1"># on graphviz engines: https://graphviz.org/docs/layouts/neato/.</span>
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.438 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.436 seconds)</p>
<p><strong>Estimated memory usage:</strong> 164 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-visualization-draw-and-compare-graphs-with-same-layout-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
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Expand Up @@ -520,7 +520,7 @@
&#39;G.png&#39;
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.067 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.116 seconds)</p>
<p><strong>Estimated memory usage:</strong> 164 MB</p>
<div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-visualization-plot-timeseries-graphs-py">
<div class="sphx-glr-download sphx-glr-download-jupyter docutils container">
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