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

.. only:: html

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

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

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

.. _sphx_glr_checks_gallery_tabular_integrity_plot_new_label_train_test.py:


New Label
*********

.. GENERATED FROM PYTHON SOURCE LINES 8-14

.. code-block:: default


    import pandas as pd

    from deepchecks.tabular import Dataset
    from deepchecks.tabular.checks.integrity import NewLabelTrainTest








.. GENERATED FROM PYTHON SOURCE LINES 15-21

.. code-block:: default


    test_data = {"col1": [0, 1, 2, 3] * 10}
    val_data = {"col1": [4, 5, 6, 7, 8, 9] * 10}
    test = Dataset(pd.DataFrame(data=test_data), label="col1", label_type="classification_label")
    val = Dataset(pd.DataFrame(data=val_data), label="col1", label_type="classification_label")








.. GENERATED FROM PYTHON SOURCE LINES 22-28

.. code-block:: default


    test_data = {"col1": ["a", "b", "a", "c"] * 10, "col2": [1,2,2,3]*10}
    val_data = {"col1": ["a","b","d"] * 10, "col2": [1, 4, 5]*10}
    test = Dataset(pd.DataFrame(data=test_data), label="col2", label_type="classification_label")
    val = Dataset(pd.DataFrame(data=val_data), label="col2", label_type="classification_label")








.. GENERATED FROM PYTHON SOURCE LINES 29-30

.. code-block:: default

    NewLabelTrainTest().run(test, val)





.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">

    <script
        src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.6/require.min.js"
        integrity="sha512-c3Nl8+7g4LMSTdrm621y7kf9v3SDPnhxLNhcjFJbKECVnmZHTdo+IRO05sNLTH/D3vA6u1X32ehoLC7WFVdheg=="
        crossorigin="anonymous"
        referrerpolicy="no-referrer">
    </script>

    <script type="text/javascript">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>
    <script type="text/javascript">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: "STIX-Web"}});}</script>
    <script type="text/javascript">
        if (typeof require !== 'undefined') {
            require.undef("plotly");
            requirejs.config({
                paths: {'plotly': ['https://cdn.plot.ly/plotly-2.8.3.min']}
            });
            require(
                ['plotly'],
                function(Plotly) {
                    window._Plotly = Plotly;
                    window.Plotly = Plotly;
                    console.log('Loaded plotly successfully');
                },
                function() {console.log('Failed to load plotly')}
            );
        } else {
            console.log('requirejs is not present');
        }
    </script>
    <h4><b>New Label Train Test</b></h4><p>Find new labels in test.</p><h5><b>Additional Outputs</b></h5><style type="text/css">
    #T_0d083 table {
      text-align: left;
      white-space: pre-wrap;
    }
    #T_0d083 thead {
      text-align: left;
      white-space: pre-wrap;
    }
    #T_0d083 tbody {
      text-align: left;
      white-space: pre-wrap;
    }
    #T_0d083 th {
      text-align: left;
      white-space: pre-wrap;
    }
    #T_0d083 td {
      text-align: left;
      white-space: pre-wrap;
    }
    </style>
    <table id="T_0d083">
      <thead>
        <tr>
          <th class="blank level0" >&nbsp;</th>
          <th id="T_0d083_level0_col0" class="col_heading level0 col0" >Percent new labels in sample</th>
          <th id="T_0d083_level0_col1" class="col_heading level0 col1" >New labels</th>
        </tr>
        <tr>
          <th class="index_name level0" >Label column</th>
          <th class="blank col0" >&nbsp;</th>
          <th class="blank col1" >&nbsp;</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th id="T_0d083_level0_row0" class="row_heading level0 row0" >col2</th>
          <td id="T_0d083_row0_col0" class="data row0 col0" >66.67%</td>
          <td id="T_0d083_row0_col1" class="data row0 col1" >[4, 5]</td>
        </tr>
      </tbody>
    </table>

    </div>
    <br />
    <br />


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

   **Total running time of the script:** ( 0 minutes  0.013 seconds)


.. _sphx_glr_download_checks_gallery_tabular_integrity_plot_new_label_train_test.py:


.. only :: html

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



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

     :download:`Download Python source code: plot_new_label_train_test.py <plot_new_label_train_test.py>`



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

     :download:`Download Jupyter notebook: plot_new_label_train_test.ipynb <plot_new_label_train_test.ipynb>`


.. only:: html

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

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