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

.. only:: html

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

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

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

.. _sphx_glr_auto_examples_iron_ore_assays.py:


Iron Ore Assays
===============

Demonstrate with some real data

.. GENERATED FROM PYTHON SOURCE LINES 9-17

.. code-block:: default


    import pandas as pd
    import plotly
    from elphick.mass_composition.datasets.sample_data import iron_ore_sample_data
    from plotly.graph_objs import Figure

    from elphick.mass_composition import MassComposition








.. GENERATED FROM PYTHON SOURCE LINES 18-21

Create a MassComposition object
-------------------------------
We get some demo data in the form of a pandas DataFrame

.. GENERATED FROM PYTHON SOURCE LINES 22-29

.. code-block:: default


    df_data: pd.DataFrame = iron_ore_sample_data()
    name = 'A072391'

    print(df_data.shape)
    df_data.head()





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

 .. code-block:: none

    (126, 15)


.. 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>mass_dry</th>
          <th>H2O</th>
          <th>MgO</th>
          <th>MnO</th>
          <th>Al2O3</th>
          <th>P</th>
          <th>Fe</th>
          <th>SiO2</th>
          <th>TiO2</th>
          <th>CaO</th>
          <th>Na2O</th>
          <th>K2O</th>
          <th>DHID</th>
          <th>interval_from</th>
          <th>interval_to</th>
        </tr>
        <tr>
          <th>index</th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>6</th>
          <td>2.12</td>
          <td>0.35</td>
          <td>0.07</td>
          <td>0.0</td>
          <td>1.48</td>
          <td>0.019</td>
          <td>64.30</td>
          <td>3.23</td>
          <td>0.080</td>
          <td>0.04</td>
          <td>0.01</td>
          <td>0.03</td>
          <td>CBS02</td>
          <td>26.60</td>
          <td>26.85</td>
        </tr>
        <tr>
          <th>7</th>
          <td>2.06</td>
          <td>0.23</td>
          <td>0.06</td>
          <td>0.0</td>
          <td>1.28</td>
          <td>0.017</td>
          <td>64.91</td>
          <td>2.90</td>
          <td>0.082</td>
          <td>0.04</td>
          <td>0.01</td>
          <td>0.03</td>
          <td>CBS02</td>
          <td>26.85</td>
          <td>27.10</td>
        </tr>
        <tr>
          <th>9</th>
          <td>1.91</td>
          <td>0.23</td>
          <td>0.06</td>
          <td>0.0</td>
          <td>1.01</td>
          <td>0.016</td>
          <td>65.09</td>
          <td>2.39</td>
          <td>0.059</td>
          <td>0.03</td>
          <td>0.01</td>
          <td>0.02</td>
          <td>CBS02</td>
          <td>27.70</td>
          <td>28.00</td>
        </tr>
        <tr>
          <th>10</th>
          <td>1.96</td>
          <td>0.36</td>
          <td>0.06</td>
          <td>0.0</td>
          <td>0.99</td>
          <td>0.022</td>
          <td>65.03</td>
          <td>2.22</td>
          <td>0.057</td>
          <td>0.04</td>
          <td>0.01</td>
          <td>0.02</td>
          <td>CBS02</td>
          <td>28.00</td>
          <td>28.30</td>
        </tr>
        <tr>
          <th>12</th>
          <td>2.06</td>
          <td>0.40</td>
          <td>0.05</td>
          <td>0.0</td>
          <td>0.75</td>
          <td>0.016</td>
          <td>65.87</td>
          <td>1.69</td>
          <td>0.040</td>
          <td>0.03</td>
          <td>0.01</td>
          <td>0.01</td>
          <td>CBS02</td>
          <td>28.60</td>
          <td>28.95</td>
        </tr>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 30-31

...and create a MassComposition from the DataFrame.

.. GENERATED FROM PYTHON SOURCE LINES 31-35

.. code-block:: default


    obj_mc: MassComposition = MassComposition(df_data, name=name)
    obj_mc.aggregate(group_var='DHID')






.. 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>mass_wet</th>
          <th>mass_dry</th>
          <th>H2O</th>
          <th>MgO</th>
          <th>MnO</th>
          <th>Al2O3</th>
          <th>P</th>
          <th>Fe</th>
          <th>SiO2</th>
          <th>TiO2</th>
          <th>CaO</th>
          <th>Na2O</th>
          <th>K2O</th>
        </tr>
        <tr>
          <th>DHID</th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
          <th></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>CBS02</th>
          <td>46.614043</td>
          <td>46.310</td>
          <td>0.652257</td>
          <td>0.055636</td>
          <td>0.000000</td>
          <td>1.029685</td>
          <td>0.022764</td>
          <td>64.656675</td>
          <td>2.589849</td>
          <td>0.053834</td>
          <td>0.029160</td>
          <td>0.010436</td>
          <td>0.017296</td>
        </tr>
        <tr>
          <th>CBS03</th>
          <td>229.414089</td>
          <td>226.250</td>
          <td>1.379204</td>
          <td>0.132968</td>
          <td>0.038134</td>
          <td>1.399500</td>
          <td>0.046587</td>
          <td>60.297271</td>
          <td>3.653106</td>
          <td>0.052016</td>
          <td>0.699112</td>
          <td>0.030318</td>
          <td>0.019871</td>
        </tr>
        <tr>
          <th>CBS04</th>
          <td>347.440438</td>
          <td>344.680</td>
          <td>0.794507</td>
          <td>0.088788</td>
          <td>0.126484</td>
          <td>1.513147</td>
          <td>0.038461</td>
          <td>60.289083</td>
          <td>3.319658</td>
          <td>0.050986</td>
          <td>0.093096</td>
          <td>0.001773</td>
          <td>0.011788</td>
        </tr>
        <tr>
          <th>CBS10</th>
          <td>306.500146</td>
          <td>304.690</td>
          <td>0.590586</td>
          <td>0.044836</td>
          <td>0.091520</td>
          <td>1.963728</td>
          <td>0.059062</td>
          <td>61.001839</td>
          <td>2.949455</td>
          <td>0.061461</td>
          <td>0.060045</td>
          <td>0.014310</td>
          <td>0.012509</td>
        </tr>
        <tr>
          <th>CBS12</th>
          <td>506.098042</td>
          <td>493.968</td>
          <td>2.396777</td>
          <td>0.090723</td>
          <td>0.247394</td>
          <td>1.854824</td>
          <td>0.032990</td>
          <td>60.572344</td>
          <td>2.491186</td>
          <td>0.067683</td>
          <td>0.045545</td>
          <td>0.016941</td>
          <td>0.014323</td>
        </tr>
        <tr>
          <th>CBS13</th>
          <td>593.551050</td>
          <td>565.790</td>
          <td>4.677112</td>
          <td>0.066832</td>
          <td>0.165065</td>
          <td>1.969400</td>
          <td>0.051777</td>
          <td>59.839565</td>
          <td>2.443914</td>
          <td>0.072125</td>
          <td>0.027301</td>
          <td>0.019054</td>
          <td>0.010321</td>
        </tr>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 36-38

Parallel plots
--------------

.. GENERATED FROM PYTHON SOURCE LINES 39-46

.. code-block:: default


    obj_mc: MassComposition = MassComposition(df_data.reset_index().set_index(['DHID', 'interval_from', 'interval_to']),
                                              name=name)

    fig: Figure = obj_mc.plot_parallel(color='Fe')
    fig






.. raw:: html

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.. GENERATED FROM PYTHON SOURCE LINES 47-51

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    fig: Figure = obj_mc.plot_parallel(color='Fe', plot_interval_edges=True)
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.. _sphx_glr_download_auto_examples_iron_ore_assays.py:

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