.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/tutorials/tutorial_data.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_tutorials_tutorial_data.py>`
        to download the full example code.

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

.. _sphx_glr_auto_examples_tutorials_tutorial_data.py:


Data definition for the simple tutorial
=======================================

Example extracted from Ben-Akiva and Lerman (1985)

Michel Bierlaire, EPFL
Sun Jun 15 2025, 07:18:39

.. GENERATED FROM PYTHON SOURCE LINES 12-79

.. code-block:: Python


    import pandas as pd

    from biogeme.database import Database
    from biogeme.expressions import Variable

    data = {
        'ID': pd.Series([i + 1 for i in range(21)]),
        'auto_time': pd.Series(
            [
                52.9,
                4.1,
                4.1,
                56.2,
                51.8,
                0.2,
                27.6,
                89.9,
                41.5,
                95.0,
                99.1,
                18.5,
                82.0,
                8.6,
                22.5,
                51.4,
                81.0,
                51.0,
                62.2,
                95.1,
                41.6,
            ]
        ),
        'transit_time': pd.Series(
            [
                4.4,
                28.5,
                86.9,
                31.6,
                20.2,
                91.2,
                79.7,
                2.2,
                24.5,
                43.5,
                8.4,
                84.0,
                38.0,
                1.6,
                74.1,
                83.8,
                19.2,
                85.0,
                90.1,
                22.2,
                91.5,
            ]
        ),
        'choice': pd.Series(
            [1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0]
        ),
    }
    pandas_dataframe = pd.DataFrame(data)
    biogeme_database = Database('ben_akiva_lerman', pandas_dataframe)
    auto_time = Variable('auto_time')
    transit_time = Variable('transit_time')
    choice = Variable('choice')


.. _sphx_glr_download_auto_examples_tutorials_tutorial_data.py:

.. only:: html

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

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

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: tutorial_data.zip <tutorial_data.zip>`


.. only:: html

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

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