.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "11_demos\python_packages\seaborn\demo_timeseries.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_11_demos_python_packages_seaborn_demo_timeseries.py>`
        to download the full example code.

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

.. _sphx_glr_11_demos_python_packages_seaborn_demo_timeseries.py:

Timerseries
==============

.. GENERATED FROM PYTHON SOURCE LINES 5-15



.. image-sg:: /11_demos/python_packages/seaborn/images/sphx_glr_demo_timeseries_001.png
   :alt: demo timeseries
   :srcset: /11_demos/python_packages/seaborn/images/sphx_glr_demo_timeseries_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none


    <Axes: xlabel='timepoint', ylabel='signal'>





|

.. code-block:: Python


    import seaborn as sns

    sns.set_theme(style="darkgrid")

    # Load an example dataset with long-form data
    fmri = sns.load_dataset("fmri")

    # Plot the responses for different events and regions
    sns.lineplot(x="timepoint", y="signal", hue="region", style="event", data=fmri)


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

   **Total running time of the script:** (0 minutes 0.906 seconds)


.. _sphx_glr_download_11_demos_python_packages_seaborn_demo_timeseries.py:

.. only:: html

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

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

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

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

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

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

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