.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/examples/01_getting_started/03_plot_demo.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_examples_examples_01_getting_started_03_plot_demo.py>`
        to download the full example code.

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

.. _sphx_glr_auto_examples_examples_01_getting_started_03_plot_demo.py:


Plot Demo
=========

Demonstrating the plot methods.

.. GENERATED FROM PYTHON SOURCE LINES 7-14

.. code-block:: Python


    import pandas as pd
    import plotly
    from plotly.graph_objs import Figure
    from elphick.geomet import Sample
    from elphick.geomet.utils.data import sample_data








.. GENERATED FROM PYTHON SOURCE LINES 15-19

Load Data
---------

We get some demo data in the form of a pandas DataFrame

.. GENERATED FROM PYTHON SOURCE LINES 20-24

.. code-block:: Python


    df_data: pd.DataFrame = sample_data()
    df_data.head()






.. 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>wet_mass</th>
          <th>mass_dry</th>
          <th>FE</th>
          <th>SIO2</th>
          <th>al2o3</th>
          <th>LOI</th>
          <th>group</th>
        </tr>
        <tr>
          <th>index</th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>0</th>
          <td>100.0</td>
          <td>90.0</td>
          <td>57.0</td>
          <td>5.2</td>
          <td>3.0</td>
          <td>5.0</td>
          <td>grp_1</td>
        </tr>
        <tr>
          <th>1</th>
          <td>90.0</td>
          <td>80.0</td>
          <td>59.0</td>
          <td>3.1</td>
          <td>1.7</td>
          <td>4.0</td>
          <td>grp_1</td>
        </tr>
        <tr>
          <th>2</th>
          <td>110.0</td>
          <td>90.0</td>
          <td>61.0</td>
          <td>2.2</td>
          <td>0.9</td>
          <td>3.0</td>
          <td>grp_2</td>
        </tr>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 25-27

Create Sample
-------------

.. GENERATED FROM PYTHON SOURCE LINES 28-32

.. code-block:: Python


    obj_smpl: Sample = Sample(df_data)
    print(obj_smpl)





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

 .. code-block:: none

    Sample: None
    {'wet_mass': {0: 300.0}, 'mass_dry': {0: 260.0}, 'H2O': {0: 13.333333333333334}, 'Fe': {0: 59.0}, 'SiO2': {0: 3.5153846153846153}, 'Al2O3': {0: 1.8730769230769235}, 'LOI': {0: 4.0}}




.. GENERATED FROM PYTHON SOURCE LINES 33-36

Parallel Plots
--------------
Create an interactive parallel plot.  Great for visualising and interactively filtering mass-composition data.

.. GENERATED FROM PYTHON SOURCE LINES 37-41

.. code-block:: Python


    fig: Figure = obj_smpl.plot_parallel()
    fig






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <div>                        <script type="text/javascript">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>
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    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 42-43

Create a parallel plot with only selected components and color

.. GENERATED FROM PYTHON SOURCE LINES 44-48

.. code-block:: Python


    fig2 = obj_smpl.plot_parallel(vars_include=['wet_mass', 'H2O', 'Fe', 'group'], color='group')
    fig2






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <div>                        <script type="text/javascript">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>
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                       {"responsive": true}                    )                };                            </script>        </div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 49-53

Ternary Diagram
---------------

Create a ternary diagram for any 3 composition variables.

.. GENERATED FROM PYTHON SOURCE LINES 53-58

.. code-block:: Python


    fig3 = obj_smpl.plot_ternary(variables=['SiO2', 'Al2O3', 'LOI'], color='group')
    # noinspection PyTypeChecker
    plotly.io.show(fig3)  # this call to show will set the thumbnail for use in the gallery




.. raw:: html
    :file: images/sphx_glr_03_plot_demo_001.html






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

   **Total running time of the script:** (0 minutes 1.866 seconds)


.. _sphx_glr_download_auto_examples_examples_01_getting_started_03_plot_demo.py:

.. only:: html

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

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

      :download:`Download Jupyter notebook: 03_plot_demo.ipynb <03_plot_demo.ipynb>`

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

      :download:`Download Python source code: 03_plot_demo.py <03_plot_demo.py>`


.. only:: html

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

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