.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/105_create_network.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download_auto_examples_105_create_network.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_105_create_network.py:


Create Network
==============

Create a network from a DataFrame

.. GENERATED FROM PYTHON SOURCE LINES 7-14

.. code-block:: default


    import pandas as pd
    import plotly

    from elphick.mass_composition.datasets.sample_data import size_by_assay_2
    from elphick.mass_composition.flowsheet import Flowsheet








.. GENERATED FROM PYTHON SOURCE LINES 15-19

Load a dataframe containing 3 streams
-------------------------------------

The dataframe is tall, indexed by size fractions and stream name

.. GENERATED FROM PYTHON SOURCE LINES 20-24

.. code-block:: default


    df_data: pd.DataFrame = size_by_assay_2()
    df_data






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <div>
    <style scoped>
        .dataframe tbody tr th:only-of-type {
            vertical-align: middle;
        }

        .dataframe tbody tr th {
            vertical-align: top;
        }

        .dataframe thead th {
            text-align: right;
        }
    </style>
    <table border="1" class="dataframe">
      <thead>
        <tr style="text-align: right;">
          <th></th>
          <th></th>
          <th>mass_wet</th>
          <th>mass_dry</th>
          <th>H2O</th>
          <th>Fe</th>
          <th>SiO2</th>
          <th>Al2O3</th>
        </tr>
        <tr>
          <th>size</th>
          <th>name</th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>[0.85, 2.0)</th>
          <th>feed</th>
          <td>3.300000</td>
          <td>3.300000</td>
          <td>0.0</td>
          <td>64.15</td>
          <td>2.04</td>
          <td>2.68</td>
        </tr>
        <tr>
          <th>[0.5, 0.85)</th>
          <th>feed</th>
          <td>9.900000</td>
          <td>9.900000</td>
          <td>0.0</td>
          <td>64.33</td>
          <td>2.05</td>
          <td>2.23</td>
        </tr>
        <tr>
          <th>[0.15, 0.5)</th>
          <th>feed</th>
          <td>26.500000</td>
          <td>26.500000</td>
          <td>0.0</td>
          <td>64.52</td>
          <td>1.84</td>
          <td>2.19</td>
        </tr>
        <tr>
          <th>[0.075, 0.15)</th>
          <th>feed</th>
          <td>2.500000</td>
          <td>2.500000</td>
          <td>0.0</td>
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          <td>2.88</td>
          <td>3.32</td>
        </tr>
        <tr>
          <th>[0.045, 0.075)</th>
          <th>feed</th>
          <td>8.800000</td>
          <td>8.800000</td>
          <td>0.0</td>
          <td>62.81</td>
          <td>2.12</td>
          <td>2.25</td>
        </tr>
        <tr>
          <th>[0.0, 0.045)</th>
          <th>feed</th>
          <td>49.000000</td>
          <td>49.000000</td>
          <td>0.0</td>
          <td>55.95</td>
          <td>6.39</td>
          <td>6.34</td>
        </tr>
        <tr>
          <th>[0.85, 2.0)</th>
          <th>coarse</th>
          <td>3.299990</td>
          <td>3.299990</td>
          <td>0.0</td>
          <td>64.15</td>
          <td>2.04</td>
          <td>2.68</td>
        </tr>
        <tr>
          <th>[0.5, 0.85)</th>
          <th>coarse</th>
          <td>9.860347</td>
          <td>9.860347</td>
          <td>0.0</td>
          <td>64.33</td>
          <td>2.05</td>
          <td>2.23</td>
        </tr>
        <tr>
          <th>[0.15, 0.5)</th>
          <th>coarse</th>
          <td>21.092951</td>
          <td>21.092951</td>
          <td>0.0</td>
          <td>64.52</td>
          <td>1.84</td>
          <td>2.19</td>
        </tr>
        <tr>
          <th>[0.075, 0.15)</th>
          <th>coarse</th>
          <td>0.953958</td>
          <td>0.953958</td>
          <td>0.0</td>
          <td>62.65</td>
          <td>2.88</td>
          <td>3.32</td>
        </tr>
        <tr>
          <th>[0.045, 0.075)</th>
          <th>coarse</th>
          <td>2.349356</td>
          <td>2.349356</td>
          <td>0.0</td>
          <td>62.81</td>
          <td>2.12</td>
          <td>2.25</td>
        </tr>
        <tr>
          <th>[0.0, 0.045)</th>
          <th>coarse</th>
          <td>9.543785</td>
          <td>9.543785</td>
          <td>0.0</td>
          <td>55.95</td>
          <td>6.39</td>
          <td>6.34</td>
        </tr>
        <tr>
          <th>[0.85, 2.0)</th>
          <th>fine</th>
          <td>0.000010</td>
          <td>0.000010</td>
          <td>0.0</td>
          <td>64.15</td>
          <td>2.04</td>
          <td>2.68</td>
        </tr>
        <tr>
          <th>[0.5, 0.85)</th>
          <th>fine</th>
          <td>0.039653</td>
          <td>0.039653</td>
          <td>0.0</td>
          <td>64.33</td>
          <td>2.05</td>
          <td>2.23</td>
        </tr>
        <tr>
          <th>[0.15, 0.5)</th>
          <th>fine</th>
          <td>5.407049</td>
          <td>5.407049</td>
          <td>0.0</td>
          <td>64.52</td>
          <td>1.84</td>
          <td>2.19</td>
        </tr>
        <tr>
          <th>[0.075, 0.15)</th>
          <th>fine</th>
          <td>1.546042</td>
          <td>1.546042</td>
          <td>0.0</td>
          <td>62.65</td>
          <td>2.88</td>
          <td>3.32</td>
        </tr>
        <tr>
          <th>[0.045, 0.075)</th>
          <th>fine</th>
          <td>6.450644</td>
          <td>6.450644</td>
          <td>0.0</td>
          <td>62.81</td>
          <td>2.12</td>
          <td>2.25</td>
        </tr>
        <tr>
          <th>[0.0, 0.045)</th>
          <th>fine</th>
          <td>39.456215</td>
          <td>39.456215</td>
          <td>0.0</td>
          <td>55.95</td>
          <td>6.39</td>
          <td>6.34</td>
        </tr>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 25-26

Create a network

.. GENERATED FROM PYTHON SOURCE LINES 26-31

.. code-block:: default


    fs: Flowsheet = Flowsheet.from_dataframe(df=df_data, mc_name_col='name')
    fig = fs.table_plot(plot_type='sankey', table_pos='left', table_area=0.3)
    fig





.. rst-class:: sphx-glr-script-out

 .. code-block:: none


    Preparing MassComposition data:   0%|          | 0/3 [00:00<?, ?it/s]
    Preparing MassComposition data: 100%|##########| 3/3 [00:00<00:00, 492.17it/s]

    Creating MassComposition objects:   0%|          | 0/3 [00:00<?, ?it/s]
    Creating MassComposition objects: 100%|##########| 3/3 [00:00<00:00, 24.06it/s]
    Creating MassComposition objects: 4it [00:00, 32.02it/s]                       


.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
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.. GENERATED FROM PYTHON SOURCE LINES 32-33

The network has no knowledge of the stream relationships, so we need to create those relationships.

.. GENERATED FROM PYTHON SOURCE LINES 33-40

.. code-block:: default


    fs.set_stream_parent(stream='coarse', parent='feed')
    fs.set_stream_parent(stream='fine', parent='feed')

    fig = fs.table_plot(plot_type='sankey', table_pos='left', table_area=0.3)
    # noinspection PyTypeChecker
    plotly.io.show(fig)  # this call to show will set the thumbnail for use in the gallery



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    :file: images/sphx_glr_105_create_network_001.html






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

   **Total running time of the script:** ( 0 minutes  0.705 seconds)


.. _sphx_glr_download_auto_examples_105_create_network.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example


    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: 105_create_network.py <105_create_network.py>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: 105_create_network.ipynb <105_create_network.ipynb>`


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 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_