.. _sphx_glr_auto_examples_plot_load_example_data.py:


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Here, we load an example dataset and then print out some information about it.





.. rst-class:: sphx-glr-horizontal


    *

      .. image:: /auto_examples/images/sphx_glr_plot_load_example_data_001.png
            :scale: 47

    *

      .. image:: /auto_examples/images/sphx_glr_plot_load_example_data_002.png
            :scale: 47


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

 Out::

    Number of electrodes: 64
    Recording time in seconds: [ 5.3984375 14.1328125]
    Sample Rate in Hz: [256, 256]
    Number of sessions: 2
    Date created: Fri Mar  9 17:09:35 2018
    Meta data: {'patient': u'CH003'}




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.. code-block:: python


    # Code source: Lucy Owen & Andrew Heusser
    # License: MIT

    # import
    import supereeg as se

    # load example data
    bo = se.load('example_data')

    # check out the brain object (bo)
    bo.info()

    # look data, stored as pandas dataframe
    bo.data.head()

    # then can visualize locations
    bo.plot_locs()

    # visualize the data with plot_data
    # the default time window is the first 10 seconds, but you can specify your own timewindow
    bo.plot_data(time_min=0, time_max=5)

**Total running time of the script:** ( 0 minutes  0.534 seconds)



.. only :: html

 .. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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


.. only:: html

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

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