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

.. only:: html

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

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

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

.. _sphx_glr_gen_modules_examples_gallery_plot_team_pace_ranking.py:

Team Pace Comparison
=============================================
Rank team's race pace from the fastest to the slowest.

.. GENERATED FROM PYTHON SOURCE LINES 5-18

.. code-block:: Python


    import seaborn as sns
    from matplotlib import pyplot as plt

    import fastf1
    import fastf1.plotting


    # Load FastF1's dark color scheme
    fastf1.plotting.setup_mpl(mpl_timedelta_support=False, misc_mpl_mods=False,
                              color_scheme='fastf1')









.. GENERATED FROM PYTHON SOURCE LINES 19-22

Load the race session.
Pick all quick laps (within 107% of fastest lap).
For races with mixed conditions, pick_wo_box() is better.

.. GENERATED FROM PYTHON SOURCE LINES 22-26

.. code-block:: Python

    race = fastf1.get_session(2024, 1, 'R')
    race.load()
    laps = race.laps.pick_quicklaps()








.. GENERATED FROM PYTHON SOURCE LINES 27-31

Convert the lap time column from timedelta to integer.
This is a seaborn-specific modification.
If plotting with matplotlib, set mpl_timedelta_support to true
with plotting.setup_mpl.

.. GENERATED FROM PYTHON SOURCE LINES 31-48

.. code-block:: Python

    transformed_laps = laps.copy()
    transformed_laps.loc[:, "LapTime (s)"] = laps["LapTime"].dt.total_seconds()

    # order the team from the fastest (lowest median lap time) tp slower
    team_order = (
        transformed_laps[["Team", "LapTime (s)"]]
        .groupby("Team")
        .median()["LapTime (s)"]
        .sort_values()
        .index
    )
    print(team_order)

    # make a color palette associating team names to hex codes
    team_palette = {team: fastf1.plotting.get_team_color(team, session=race)
                    for team in team_order}





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

 .. code-block:: none

    Index(['Red Bull Racing', 'Ferrari', 'McLaren', 'Mercedes', 'Haas F1 Team',
           'Aston Martin', 'Kick Sauber', 'Alpine', 'RB', 'Williams'],
          dtype='object', name='Team')




.. GENERATED FROM PYTHON SOURCE LINES 49-70

.. code-block:: Python

    fig, ax = plt.subplots(figsize=(15, 10))
    sns.boxplot(
        data=transformed_laps,
        x="Team",
        y="LapTime (s)",
        hue="Team",
        order=team_order,
        palette=team_palette,
        whiskerprops=dict(color="white"),
        boxprops=dict(edgecolor="white"),
        medianprops=dict(color="grey"),
        capprops=dict(color="white"),
    )

    plt.title("2023 British Grand Prix")
    plt.grid(visible=False)

    # x-label is redundant
    ax.set(xlabel=None)
    plt.tight_layout()
    plt.show()



.. image-sg:: /gen_modules/examples_gallery/images/sphx_glr_plot_team_pace_ranking_001.png
   :alt: 2023 British Grand Prix
   :srcset: /gen_modules/examples_gallery/images/sphx_glr_plot_team_pace_ranking_001.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** (0 minutes 2.698 seconds)


.. _sphx_glr_download_gen_modules_examples_gallery_plot_team_pace_ranking.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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